# Idasara Academy — Full Content > Full text of key public pages, concatenated for AI ingestion. Generated from the curated allowlist by static-site/scripts/generate_llms_txt.py; see https://academy.idasara.org/llms.txt for the complete index. --- FREE DIGITAL-LITERACY PROGRAM # Idasara DigiReady Free digital skills for every Sri Lankan student — from your first tap to talking with AI. DigiReady is a free community program from Idasara. Five short, plain-language lessons teach the everyday digital skills school and work now expect — the basics nobody sat you down to explain, plus the new AI skills even many adults lack. No account needed to learn. Available in English, Sinhala and Tamil. ## The five skills DigiReady 1 ### Your Device, Your Control: Stop Feeling Lost on Your Own Phone Your phone or a computer-shop machine can feel like a maze of buttons and pop-ups. Learn the handful of basics that put you back in charge — open a website, jump between tasks, type in Sinhala or Tamil, and stay safe when you log in. Read the lesson → DigiReady 2 ### Don't Get Hacked: A Simple Guide to Keeping Your Accounts and Your Data Safe Your online accounts are like the door to your room — and your study progress, your messages, and your private details all live behind it. Here is how to keep that door locked, spot the people trying to trick their way in, and know what is rightfully yours. Read the lesson → DigiReady 3 ### Learn to Read Any Screen: The Skill That Unlocks Every App A learning app, a school portal, a bank page — they all look different, but they speak the same visual language. Once you can read a screen, you stop feeling lost and start taking charge. Read the lesson → DigiReady 4 ### Stop Asking AI for Answers — Start Asking It to Teach You An AI tutor can be the patient teacher you wish you had — but only if you know how to talk to it. Here is how to turn a vague question into a real lesson. Read the lesson → DigiReady 5 ### When the Robot Sounds Sure but Gets It Wrong: How to Spot When AI Lies AI tools can answer in a calm, confident voice and still be completely wrong. Here is how to use them to study faster — without letting them quietly hand you a mistake on exam day. Read the lesson → ## Why it's free Idasara believes digital confidence shouldn't depend on who taught you. Learn here for free, then practise on a real AI tutor when you're ready. Start free Prefer a guided, structured track? Explore the Digital Literacy program → Want to know why these skills matter? Read what AI literacy actually means → --- FREE DIGITAL-LITERACY PROGRAM · DigiReady 1 # Your Device, Your Control: Stop Feeling Lost on Your Own Phone Your phone or a computer-shop machine can feel like a maze of buttons and pop-ups. Learn the handful of basics that put you back in charge — open a website, jump between tasks, type in Sinhala or Tamil, and stay safe when you log in. 9 min read In short A browser's address bar does two jobs: type a full web address (no spaces, ends in .lk/.com) to go straight to a site, or type ordinary words to search and pick from a list. Tabs let you keep several sites open at once, but closing finished tabs speeds up a slow phone; bookmarks save sites you visit often, the Back button safely undoes your last step, and the globe key on the keyboard switches to Sinhala or Tamil. The most important safety habit: on any shared or borrowed device, always log out before you leave, because closing the browser does not end your login session. You sit down to check your exam results on a school portal, or to find a past paper for tomorrow's tuition class. You tap something, a new screen appears, you tap again — and suddenly you are somewhere you did not mean to be, with no idea how to get back. Your phone feels slow. There are five things open at once. You are not sure which screen has the thing you actually wanted. If this is you, please know: nothing is wrong with you, and nothing is wrong with your phone. You were simply never shown the small set of basics that make a device feel calm instead of confusing. These are not advanced "computer skills" — they are the everyday moves that confident users do without thinking. In this article we will walk through all of them, slowly and plainly: the browser and its address bar, tabs, bookmarks, going back without getting lost, typing in your own language, and the most important safety habit of all — knowing when to log out. By the end, your device will feel like something you control, not something that controls you. ## The browser and the address bar: your front door to the internet A browser is the app you use to open websites. On most Android phones it is Chrome (the round red-yellow-green-blue circle). On an iPhone it is usually Safari (a blue compass). At a computer shop you might also see Microsoft Edge or Firefox. They all do the same job: they fetch a website and show it to you. Think of the browser as a window, and each website as a different view out of that window. Near the top of the browser is one long box. This is the address bar, and it is the single most useful thing on the screen. It does two jobs, and understanding the difference saves a lot of confusion. First, if you already know the exact web address of a site — for example the name of your school's portal — you type that address and the browser takes you straight there. Second, if you do NOT know the exact address, you type words instead, like "O/L past papers maths", and the browser hands those words to a search engine (usually Google) which shows you a list of links to choose from. So the rule is simple: a web address goes straight to one place; words give you a list of places to choose from. A web address has no spaces and usually ends in something like .lk, .com, or .org. If what you typed has spaces and ordinary words, the browser knows you are searching, not visiting. You do not need to memorise this — modern browsers figure it out — but knowing it helps you understand what is happening when results appear. - A browser = the app that shows websites (Chrome, Safari, Edge, Firefox). - The address bar = the long box at the top. It is your front door. - Type a full address (e.g. a portal name ending in .lk) to go straight there. - Type ordinary words (e.g. "A/L chemistry notes") to search and pick from a list. - A real web address has no spaces; a search has normal words and spaces. ## Tabs: doing several things without losing your place Imagine your study table. You can have your textbook open, your notebook open, and a past paper open all at once, side by side. Tabs are exactly this idea inside your browser. Each tab is a separate website kept open at the same time, so you can switch between them without closing anything. Here is a real moment. You are reading notes on one website, and you want to check a word's meaning on another, then come back. Instead of leaving your notes, you open the dictionary in a new tab. Now both are open. You glance at one, then the other, and your notes are exactly where you left them. To open a new tab, look for a small + sign, or tap the menu (often three dots) and choose "New tab". To see all your open tabs on a phone, tap the small square with a number inside it — that number tells you how many tabs you have. Tap any one to switch to it. There is an important catch, and it is the reason many phones feel slow. Every open tab quietly uses a little of your phone's memory and battery. Ten or twenty forgotten tabs sitting open is like leaving every light in the house on. The single easiest way to speed up a sluggish phone is to close tabs you have finished with. You close a tab by tapping the small × on it. Make it a habit: when you are done with a website, close its tab. Fewer tabs means a faster, cooler, longer-lasting phone. - A tab = one open website. You can have several open at once. - Open a new tab with the + sign or the menu's "New tab". - Switch tabs by tapping the square showing the number of open tabs, then tapping one. - Close a tab with its × when you are finished. - Common mistake: leaving 15 tabs open. Fewer tabs = a noticeably faster phone. ## Bookmarks: the pages you need often, two taps away Some websites you visit again and again — your school portal, a trusted notes site, a question bank. Searching for the same site every single day is slow and frustrating, and sometimes you land on the wrong copy by mistake. A bookmark fixes this. A bookmark is a saved shortcut to a website, so that next time you reach it in one or two taps instead of typing or searching all over again. To save a bookmark, open the website you want to keep, then look for a star icon (in Chrome it sits at the end of the address bar or inside the three-dot menu) and tap it. On Safari, tap the share icon — the square with an arrow pointing up — and choose "Add Bookmark" or "Add to Favourites". The browser saves the page. Later, you find your saved pages by opening the menu and choosing "Bookmarks". Tap the one you want and you go straight there. Think of bookmarks as your personal shelf of the few sites that matter to you. A student preparing for O/L might bookmark the exam portal, one reliable maths notes page, and a past-paper site — three taps, three trusted destinations, no searching, no guessing. This also protects you a little, because you return to the exact site you trusted before, rather than a look-alike that appeared in a search. - A bookmark = a saved shortcut to a website you use often. - Save one: open the page, tap the star (Chrome) or share → Add Bookmark (Safari). - Open a saved one: menu → Bookmarks → tap the site. - Best for: your school portal, a trusted notes site, a past-paper bank. - Bonus safety: you return to the exact site you trusted, not a look-alike. ## Back, and never getting lost The feeling of being "lost" online almost always comes from one thing: not knowing how to undo your last step. The good news is that the Back action is built for exactly this. Back takes you to the previous screen you were on — it is your safe undo button for the whole internet. Tapped the wrong link? Press Back. Ended up on a confusing page? Press Back. You can press it many times in a row to retrace your steps, like walking back along the path you came. Where is Back? On many Android phones there is a back gesture: swipe inward from the left or right edge of the screen, or there may be a small < arrow at the bottom. Inside the browser there is also usually a < arrow near the top. On an iPhone, swipe from the left edge of the screen, or use the < arrow at the bottom of the browser. They all do the same thing: one step backwards. Two habits stop the lost feeling for good. First, when something goes wrong, do not panic and tap randomly — that is what creates the maze. Just press Back, calmly, until you are somewhere familiar. Second, if you are truly stuck, you can always close the tab and start fresh from a bookmark; nothing breaks. And remember the one screen that is always "home": your phone's home screen. Pressing the home button or swiping up to it never harms anything — it simply steps you out of the app so you can begin again. - Back = your safe undo button. It returns you to the previous screen. - Find it: a < arrow in the browser, or swipe in from the screen edge. - When confused, press Back calmly instead of tapping randomly. - Truly stuck? Close the tab and reopen from a bookmark — nothing breaks. - The home screen is always there; returning to it never damages anything. ## Typing in Sinhala or Tamil: using your own language Many people assume a phone can only type in English. It cannot. Your phone's keyboard can type Sinhala and Tamil too, once you switch it — and writing in the language you think in makes searching, messaging, and note-taking far easier and far more natural. The keyboard is a small program called an IME, which simply means "the thing that turns your taps into letters". To change languages, look for the small globe key (a round world icon) on your keyboard, usually near the space bar. Tap it to switch between English, Sinhala, and Tamil — tap again to cycle to the next one. If you cannot see a globe key, the language may not be turned on yet. Go to your phone's Settings, search for "Language" or "Keyboard", and add Sinhala (සිංහල) or Tamil (தமிழ்) to the keyboard. After that, the globe key appears. Most modern keyboards, such as Gboard, also let you type the way the word sounds in English and offer the Sinhala or Tamil word above the keys — for example, typing "ayubowan" and tapping the suggestion to get "ආයුබෝවන්". Try both ways and keep whichever feels comfortable. The point is this: you are allowed to use your own language on your own device. Searching "සමීකරණ" or "இயற்கணிதம்" is perfectly valid, and you will often find Sri Lankan material you would have missed in English. - The keyboard (IME) can type Sinhala and Tamil, not only English. - Tap the globe key near the space bar to switch languages. - No globe key? Settings → Language/Keyboard → add Sinhala / Tamil first. - Many keyboards let you type by sound (e.g. "ayubowan" → ආයුබෝවන්). - Searching in your own language often finds local material English misses. ## Login sessions: staying signed in safely — and logging out when you must Many useful sites ask you to log in with a username and password — your school portal, an email account, a learning site. When you log in, the site "remembers" you for a while so you do not have to type your password every single time. This memory is called a login session, and "staying logged in" simply means that session is being kept alive on that device. On your own private phone, this is convenient and usually safe. But here is the part that protects you. A login session lives on the device you used, not on you. If you log in on a shared computer — at a computer shop, an internet café, a school lab, or a friend's phone — and you simply close the browser and walk away, the next person who sits down can often open the site and find you still logged in. They could read your messages, see your results, or even change your password and lock you out. This is one of the most common ways young people lose access to their accounts in Sri Lanka, and it is completely avoidable. The rule is short and worth memorising: your own device, staying logged in is fine; any shared or borrowed device, always log out before you leave. Logging out ends the session deliberately. Find the Log out or Sign out option — usually inside a menu, or behind your name or profile picture in a corner of the screen — and tap it before you stand up. As an extra safety net on shared machines, use the browser's "Incognito" or "Private" tab (in the browser menu) — it forgets everything when you close it. But never rely on private mode alone as a reason to skip logging out. Log out first, every time, on any device that is not yours. - A login session = the site remembering you so you skip re-typing your password. - On your own phone: staying logged in is convenient and generally safe. - On a shared device (computer shop, café, lab, friend's phone): ALWAYS log out. - Closing the browser is NOT the same as logging out — the session can stay alive. - Find Log out / Sign out under your name, profile picture, or the menu. - Extra protection on shared machines: open a Private / Incognito tab — but log out anyway. ### Key facts - A web address has no spaces and usually ends in .lk, .com, or .org; if what you type has spaces and ordinary words, the browser treats it as a search instead of a website. - Every open browser tab quietly uses some memory and battery, so the single easiest way to speed up a slow phone is to close tabs you have finished with. - A bookmark is a saved shortcut to a website so you can reach it in one or two taps, and it also returns you to the exact site you trusted rather than a look-alike from a search. - The Back button (a < arrow or an edge swipe) is a safe undo that returns you to the previous screen; when confused, press Back calmly instead of tapping randomly. - The globe key near the space bar switches the keyboard between English, Sinhala, and Tamil; if there is no globe key, add Sinhala (සිංහල) or Tamil (தமிழ்) in the phone's Language/Keyboard settings first. - Closing the browser is NOT the same as logging out — a login session can stay alive, so on a shared computer, café, lab, or friend's phone you must use Log out / Sign out before leaving. - On a shared machine, opening a Private or Incognito tab adds protection because it forgets everything when closed, but you should still log out every time anyway. ### Key takeaways - The address bar does two jobs: a full web address goes straight there; ordinary words search and give you a list. - Tabs let you do several things at once — but close the ones you finish, because fewer tabs means a faster phone. - Bookmark the few sites you use daily so they are two taps away and you return to the exact site you trusted. - Back is your safe undo button; when confused, press it calmly instead of tapping at random. - The globe key on your keyboard switches to Sinhala or Tamil — your own device, your own language. - On any shared or borrowed device, always Log out before you leave; closing the browser is not enough. ### Try this now Pick up your own phone right now and do these five small things in order, taking your time. (1) Open your browser and, in the address bar, type the words "A/L past papers" and search — notice you get a list. (2) Open a new tab with the + sign, then switch back to the first tab. (3) On a site you visit often, tap the star to bookmark it, then open your Bookmarks list to see it saved. (4) Press Back a few times and watch it retrace your steps. (5) Open your keyboard and tap the globe key to switch to Sinhala or Tamil, and type one word in your own language. That is every core skill in this article, done in under five minutes. ## Frequently asked questions **What is the address bar and how is it different from searching?** The address bar is the long box at the top of your browser. If you type a full web address (no spaces, ending in something like .lk or .com) it takes you straight to that one site. If you type ordinary words like "O/L past papers maths", it hands them to a search engine that shows a list of links to choose from. **Why does my phone feel slow when I am browsing?** Often it is too many open tabs. Each open tab quietly uses memory and battery, so ten or twenty forgotten tabs is like leaving every light in the house on. Close tabs you have finished with by tapping the small × on each one — fewer tabs means a faster, cooler, longer-lasting phone. **How do I type in Sinhala or Tamil on my phone?** Tap the small globe key on your keyboard, usually near the space bar, to switch between English, Sinhala, and Tamil. If there is no globe key, go to Settings, search for "Language" or "Keyboard", and add Sinhala (සිංහල) or Tamil (தமிழ்) first. Many keyboards also let you type by sound, like "ayubowan" to get ආයුබෝවන්. **Is closing the browser the same as logging out?** No. Closing the browser does not end your login session — the next person who opens the site can often find you still logged in. On any shared device (computer shop, café, lab, a friend's phone) always use Log out or Sign out, usually found under your name, profile picture, or the menu, before you leave. **What does a bookmark do and how do I save one?** A bookmark is a saved shortcut to a website you visit often, so you reach it in one or two taps instead of searching again. Open the page, then tap the star icon in Chrome (or share → Add Bookmark in Safari). Later, open the menu and choose Bookmarks, then tap the site. It also returns you to the exact trusted site, not a look-alike from a search. **I keep getting lost online — how do I get back?** Use Back — it is your safe undo button that returns you to the previous screen. Find a < arrow in the browser, or swipe in from the edge of the screen. When something goes wrong, do not tap randomly; press Back calmly until you are somewhere familiar. If you are truly stuck, close the tab and reopen from a bookmark, or return to your home screen — nothing breaks. Once these moves feel automatic — opening a site, flicking between tabs, jumping to a bookmark, switching languages — the next natural step is to have one trusted place you return to for your studies, where you log in once on your own phone and simply stay signed in, so learning starts the moment you tap, with no friction in the way. When you are ready to practise these basics on something built for your own O/L and A/L journey, Idasara is there for you to try, in your own language, at your own pace. Start free ← All DigiReady lessons --- FREE DIGITAL-LITERACY PROGRAM · DigiReady 2 # Don't Get Hacked: A Simple Guide to Keeping Your Accounts and Your Data Safe Your online accounts are like the door to your room — and your study progress, your messages, and your private details all live behind it. Here is how to keep that door locked, spot the people trying to trick their way in, and know what is rightfully yours. 9 min read In short Almost all real-world 'hacking' is just guessed passwords or people tricked into typing their password on a fake page — not genius break-ins. You can protect yourself with a few habits: use a long, unique password made of a few words, turn on two-step verification, never type your password into a page you reached from a message link, and don't share your account. Your data is yours, and you have the right to see, correct, and delete it. You have probably heard a story like this. A friend's Facebook or WhatsApp suddenly starts sending strange messages asking everyone for money. Or someone clicks a link that says "your account is locked" and the next day they cannot log in at all. It feels random and frightening, like bad luck that lands on people for no reason. It is not random. Almost every "hacking" you hear about in real life is not some genius breaking through a computer wall. It is much simpler: someone guessed an easy password, or someone got tricked into typing their password on a fake page. That is good news, because it means you can protect yourself with a few habits — no technical skill required. This article walks you through those habits in plain language. Whether you log in to a school portal, a tuition class app, an email account, or a learning platform, the same ideas keep you safe. ## First, understand what an "account" really is An account is simply the platform's way of knowing that you are you. When you log in, you are proving your identity so the system shows your work, your marks, your messages — and not someone else's. The two pieces that usually prove this are your username (who you are) and your password (the secret only you should know). Some platforms let you log in with just a username and a password. A username is not a secret — your classmates might know it, it might even be your index number or your name. That makes the password the only real lock on the door. So when a login is simpler, the password matters more, not less. The convenience of an easy login does not remove your responsibility to keep the secret part secret. Think of it like your school bag. The bag itself is visible to everyone — that is your username. But what is inside, and the way you keep it closed, is up to you to guard. A weak password is like leaving the bag wide open on a bench at the bus stand. ## Strong passwords, made simple A strong password is one that a stranger cannot guess and a computer cannot quickly crack. The most common weak passwords in Sri Lanka are exactly the ones you would expect: your name, your birthday, "123456", "password", your phone number, or your favourite cricketer. If a classmate could guess it in three tries, it is not strong. The easiest way to make a strong password that you can still remember is to use a short phrase — three or four random words joined together, perhaps with a number and a symbol. Something like "BlueKottuLamp7" is far stronger than "Nimal2008" and much easier to remember than a jumble of letters. Length beats cleverness: a longer password is harder to break than a short one full of strange symbols. Two more rules carry most of the weight. First, do not use the same password everywhere — if one account leaks, all the others fall with it. Second, never write your real password where others can see it, like the back of your phone case or a note shared in a group chat. - Aim for at least 12 characters — longer is stronger. - Mix words, a number, and a symbol so it is not a single dictionary word. - Never reuse your email password on any other site — your email is the master key. - Avoid anything a classmate could guess: name, birthday, phone number, school. - If a site offers an extra code by SMS or app (called two-step verification), turn it on. ## Phishing: the fake message designed to fool you Phishing (said "fishing") is when someone sends you a fake message — by email, SMS, or chat — pretending to be a service you trust, so that you hand over your password or click a harmful link. The name fits: they cast bait and hope you bite. The most common bait creates fear or urgency: "Your account has been locked," "Suspicious login detected," "Reset your password now or lose access," or "You have won a free data package — claim in 24 hours." The trick works because it rushes you. When you are scared of losing your account or excited about a prize, you stop checking and start clicking. A real organisation will almost never threaten to delete your account in the next hour, and will never ask you to confirm your password by replying to a message. Here is the key thing to understand: a fake "reset your password" page can look exactly like the real one. The logo, the colours, the wording — all copied. The difference is hidden in the address, the sender, and the request itself. So you must learn to check those, because your eyes alone will be fooled. ## How to tell a fake from the real thing You do not need special software to catch most phishing. You need to slow down for ten seconds and check three things before you tap or type anything. These small habits stop the large majority of attacks. Checking the sender means looking at the actual email address, not just the display name. Anyone can set their name to "School Office" or "Idasara Support", but the address behind it gives them away — something like "support@idasara-secure-login.xyz" is not the same as a genuine address. On a phone, tap the sender's name to reveal the full address. Hovering before tapping means checking where a link really goes before you open it. On a computer, rest your mouse pointer over the link and the true address appears at the bottom of the screen. On a phone, press and hold the link (do not tap) and a preview of the real address pops up. If the link claims to be your school portal but the address is some unfamiliar site, do not open it. The golden rule that beats every fake page: never enter your password on a page you reached by clicking a link in a message. If you get an email saying your account needs attention, do not use its link. Close it, open your browser yourself, type the website address you already know, and log in there. If the warning was real, you will see it once you are safely logged in. If it was fake, you have lost nothing. - Check the real sender address, not just the display name. - Hover (computer) or press-and-hold (phone) to preview a link before opening it. - Watch for urgency, threats, prizes, and spelling mistakes — classic phishing signs. - Never type your password into a page opened from a message link. - When in doubt, go to the website yourself by typing the address you know. ## Why sharing your account quietly harms you It feels harmless to share your login with a friend so they can "just check something", or to use a sibling's account because it was already open. On a learning platform, this does real damage — and not to the platform, to you. Modern learning tools personalise what they show you. They track which lessons you have done, which questions you got wrong, and which topics you are weak in, so they can recommend exactly the practice you need next. This only works if the account reflects one real person. If your friend logs in and answers a few questions as you, the system now thinks you understand things you do not — and stops giving you the practice you actually need. Your progress data becomes a mix of two people, and the help you receive becomes wrong. There is also a plain safety reason. The more people who know your password, the more places it can leak, and the less you can trust that your account is truly yours. Sharing a password is like giving out a copy of your house key and hoping everyone who has it is careful. Keep one account for one person. If a family member needs access to a platform, they should have their own account. ## Your data and your rights When you use any platform, it stores information about you. It is worth knowing what, so you are never in the dark. This usually includes the details you gave when signing up (name, contact, perhaps your school or grade), and the activity you generate while using it (lessons opened, answers given, progress and marks, times you logged in). A learning platform keeps your study record so it can help you improve. This data is yours in a meaningful sense, and good platforms respect that. You generally have the right to see what they hold about you, to correct anything that is wrong, and to ask for your account and data to be deleted if you choose to leave. A trustworthy service explains this in a privacy policy and gives you a way to manage your own information rather than hiding it. Because this record is valuable to you, protect it the same way you protect a password. Do not hand your data away by typing it into random forms, quizzes, or "check if your name won" pages that ask for personal details. Share personal information only with services you chose and trust, and only as much as they genuinely need. ### Key facts - Almost every real-world 'hacking' is not a technical break-in — it is a guessed password or someone tricked into typing their password on a fake page. - A strong password should be at least 12 characters; length beats complexity, so a phrase of three or four random words like 'BlueKottuLamp7' is stronger and easier to remember than a short jumble of symbols. - Never reuse your email password on any other site — your email is the master key that can reset all your other accounts. - Phishing messages create fear or urgency ('your account is locked', 'you won a free data package') to rush you into clicking; a real organisation will never ask you to confirm your password by replying to a message. - The golden rule against phishing: never type your password into a page you reached by clicking a link in a message — close it, open your browser, and type the website address you already know. - Sharing your learning-platform login corrupts your progress data — if someone answers questions as you, the system thinks you understand topics you do not and stops giving the practice you actually need. - Platforms store both the details you gave at sign-up and the activity you generate; your data is yours and you generally have the right to see it, correct it, and ask for it to be deleted. ### Key takeaways - Most "hacking" is just guessed passwords and trick messages — both are easy to defend against. - Use a long password made of a few words, never reuse it, and never write it where others can see. - Phishing uses fear and urgency; slow down and check the sender and the link before acting. - Never type your password into a page you reached from a message link — open the site yourself. - One account, one person: sharing a login corrupts your progress data and your privacy. - Your data is yours — you have the right to see it, correct it, and delete it. ### Try this now Pick the one account that matters most to you — usually your email, because it can reset all your others. First, check its password: is it long, unique, and impossible for a classmate to guess? If not, change it now to a phrase of three or four words plus a number. Then look in the account's settings for "two-step verification" or "2-step login" and turn it on so a code is needed alongside your password. Finally, open any one email in your inbox and practise the safe habit: tap the sender's name to reveal the real address, and press-and-hold one link to preview where it really goes — without opening it. Five minutes, and your most important door is far better locked. ## Frequently asked questions **How do most accounts actually get hacked?** Almost never by a genius breaking through a computer wall. Most accounts are taken over because someone guessed an easy password (like a name, birthday, or '123456'), or because the owner was tricked into typing their password on a fake page sent through a message. Both are easy to defend against with simple habits. **What makes a password strong but still easy to remember?** Use a phrase of three or four random words joined together, plus a number and a symbol — for example 'BlueKottuLamp7'. Aim for at least 12 characters. Length matters more than strange symbols, and never use the same password on more than one site. **How do I know if a message or link is phishing?** Slow down and check three things: the real sender address (not just the display name), where the link actually goes (press-and-hold on a phone, or hover on a computer to preview it), and whether the message is rushing you with fear or a prize. Watch for urgency, threats, and spelling mistakes — these are classic phishing signs. **What is the one rule that beats every fake login page?** Never enter your password on a page you reached by clicking a link in a message. If a message says your account needs attention, close it, open your browser yourself, type the website address you already know, and log in there. If the warning was real you will see it once you are safely logged in; if it was fake, you have lost nothing. **Why is it bad to share my account or password with a friend?** On a learning platform it harms you directly. The system tracks what you have learned and where you are weak to recommend the right practice. If a friend answers questions as you, the system thinks you understand things you do not and stops giving the help you need. Sharing a password also means it can leak from more places. One account, one person. **What data do platforms store about me, and what are my rights?** Platforms usually store the details you gave at sign-up (name, contact, school or grade) and the activity you generate (lessons opened, answers, progress, login times). This data is yours: you generally have the right to see what they hold, correct anything wrong, and ask for your account and data to be deleted. A trustworthy service explains this in a privacy policy. These habits matter most on the platforms where your real progress lives. On Idasara, your account holds your study record — the topics you have mastered and the ones you are still working on — and that record is yours alone. Keeping it secure is not just about safety; it is what lets the platform understand you accurately and guide your learning honestly. So treat your Idasara login the way this article describes: keep the password to yourself, log in only through the site you know, and let your progress reflect the one person it is meant to — you. That is the quiet foundation everything else you learn here is built on. Start free ← All DigiReady lessons --- FREE DIGITAL-LITERACY PROGRAM · DigiReady 3 # Learn to Read Any Screen: The Skill That Unlocks Every App A learning app, a school portal, a bank page — they all look different, but they speak the same visual language. Once you can read a screen, you stop feeling lost and start taking charge. 9 min read In short Every well-made app — a learning platform, school portal, or bank app — is built from the same four visual building blocks: Information you read (numbers, bars, mastery %), Actions you press (buttons, Submit, Search), Navigation that moves you (bottom icons, back arrow, menu), and Status signals (padlock for locked/paid, green tick for done, spinner for loading). On a learning dashboard, mastery % shows how confident you are in a topic, a progress bar shows how much you finished, and a streak tracks daily study habit. Tapping to look almost never breaks anything — only Pay, Submit, Delete and Confirm commit you — so you can explore any screen safely. You open a learning app for the first time. There are numbers, coloured bars, little flame icons, some buttons you can press and some that seem to be locked. Your friend swipes through it like it is nothing, but you sit there thinking, "Where do I even start? What does any of this mean?" That feeling is completely normal — and it is not because you are bad with technology. Here is the truth almost nobody tells you: you do not need to memorise one app. You need one skill — the skill of reading a screen. Every well-made app, whether it is a study platform, a school portal, the Department of Examinations website, or a banking app, is built from the same handful of visual pieces. Learn to recognise those pieces once, and you can walk into any app and figure it out on your own. This guide teaches you exactly that. We will use a learning dashboard as our main example because that is where you will spend study time, but everything here transfers. By the end, you will look at a confusing screen and instead of freezing, you will calmly ask, "What is this telling me, and what can I do about it?" ## Your dashboard is a report card you can act on The first screen you usually see in a learning app is called the dashboard. Think of it as the front page of a newspaper, or the cover of your school report: it gives you the big picture at a glance so you do not have to dig for it. A dashboard is not there to confuse you with numbers — it is there to answer one question quickly: "How am I doing, and what should I do next?" Three things show up on almost every learning dashboard, and each one means something specific. Once you know what they mean, they stop being decoration and become instructions. The trick with any dashboard is to never just look at it — always ask what action it is pointing you toward. A number that does not change your behaviour is a wasted number. - Mastery % — This is how well the app thinks you understand a topic, shown as a percentage. 40% in Chemistry does not mean you scored 40 on a test; it means you are roughly 40% of the way to being confident in that topic. ACT ON IT: pick the subject with the lowest mastery and study that one first. That is where your marks will improve the fastest. - Progress bar — A bar that fills up (like a phone battery) to show how much of a lesson, course, or week you have completed. A half-full bar means you started but did not finish. ACT ON IT: finish the half-full bars before starting anything new — half-done work earns no marks. - Streak — Usually a flame or number showing how many days in a row you have studied. It is not a score; it is a habit tracker, gently nudging you to come back daily. ACT ON IT: even ten minutes counts to keep a streak alive. The goal is the daily habit, not the number itself — so if you break it, just start again. A broken streak is not a failure, it is a Tuesday. ## Free or paid? Reading lock icons without frustration Many apps have some features that are free and some that you pay for. This is normal and fair — somebody has to keep the lights on. What matters is that you can tell the difference instantly, so you do not waste time tapping something that will not open, and you do not feel tricked. The universal sign for "paid" or "not available to you yet" is a small padlock icon. You will see it on a button, a lesson, or a tile. When something is locked, a good app will tell you exactly what unlocks it — usually with words like "Unlock with [Plan name]" or "Available on Premium." That phrase is a signpost, not a wall slamming in your face. It is simply telling you which level you would need. Here is the mindset that saves you frustration: a lock is information, not rejection. When you see one, you have three calm choices, and all three are fine. - Look for the free version of the same thing — many apps offer a basic free option right next to the locked premium one. The free version is often enough for solid study. - Read what the lock unlocks — tap it once. A well-made app shows a small preview and the plan name, so you learn what is on offer without being forced to pay. - Move on without guilt — if it is locked and you are not paying, that is okay. There is almost always plenty of free content to keep you busy. Locked does not mean you are missing out on everything; it means that one feature is for later. ## Stop waiting — use search and filters to go find content Most people use apps passively. They open the screen and only do whatever the app puts in front of them, like a student who only studies the page the book happens to fall open on. The students who get ahead do the opposite: they go hunting for exactly what they need. The two tools that let you do this are search and filters, and they live in almost every app you will ever touch. Search is the magnifying-glass icon (🔍). Tap it, type a few words — "photosynthesis," "past papers," "trigonometry," "2019 O/L Maths" — and the app finds it for you. You do not have to scroll through everything hoping to stumble on it. A useful habit: search for the exact topic your teacher covered in class today, the moment you get home, while it is fresh. Filters are narrowing tools, often behind an icon that looks like a funnel or sliders, or a row of small tappable chips at the top of a list. They let you cut a huge list down to only what matters: show me only Biology, only Grade 11, only video lessons, only things I have not finished yet. Filtering is the difference between staring at 500 items and looking at the 6 that actually help you tonight. A common mistake is typing a whole sentence into search, like "can you explain how plants make food." Keep it short — two or three keywords work best, because search matches words, not full questions. If you get too many results, add a filter. If you get none, use fewer or simpler words and try again. ## Submitting work the right way — files and exam photos Sooner or later you will need to send something into an app — an assignment, an answer sheet, a photo of your worked-out Maths problem for marking. This is where small mistakes cause real pain: blurry photos that cannot be marked, the wrong file type that will not upload, or work sent to the wrong place. Getting this right is a skill, and it is an easy one to learn. When an app asks you to upload a file, it usually tells you what format it accepts, like PDF, JPG, or PNG. A format is just the type of file — think of it like asking for tea versus coffee; both are drinks, but they are not the same thing. Most photos from your phone are already JPG, so for picture answers you are usually fine. If an app insists on a PDF and you only have photos, free apps and even your phone's built-in scanner can turn photos into a single PDF. For exam marking especially, the photo itself decides whether your work can be graded. A marker — human or AI — cannot give you marks for an answer they cannot read. Treat the photo as part of your answer, not an afterthought. - Good light — sit near a window or a bright lamp. Shadows and dark corners hide your working. - Flat and straight — put the paper on a table, hold the phone directly above it, not at an angle. Crooked, tilted photos are hard to read. - Fill the frame — get close enough that the page fills most of the screen, but keep all four corners and edges visible. Do not chop off the last line. - Check before you send — pinch to zoom into your own photo. If you cannot read your own handwriting clearly, the marker cannot either. Retake it. - Right place, right button — make sure you are uploading to the correct assignment, and wait for the "upload complete" or tick before you close the app. Closing too early can cancel the upload. ## The mental model: one map that fits every app Now the most valuable part. Everything above is really one idea wearing different clothes. Once you see the pattern, no new app can fully confuse you, because you already know what to look for. Almost every screen, in any app, is built from just four kinds of things. Whenever you open something unfamiliar — a new study tool, a government portal to check exam results, a bank app, an online form — slow down for ten seconds and sort the screen into these four buckets in your head. Suddenly the clutter becomes a map. And remember the golden rule of exploring: in almost every app, tapping to look at something does no harm. Reading a screen, opening a menu, or pressing a tab will not break anything or cost you money. The only buttons that truly commit you are ones that clearly say Pay, Submit, Delete, or Confirm. Everything else is safe to explore. So when you are unsure, look first, read the labels, and tap the harmless things to learn. Curiosity is how fluency is built. - Information — things that tell you something: numbers, bars, text, your name, a balance, a mastery %. You read these. They do not need a tap. - Actions — things you press to make something happen: buttons, the + icon, "Submit," "Search." Look for a verb or a clear icon. - Navigation — how you move around: the row of icons along the bottom, the back arrow (←) at the top-left, tabs, and the three-line "menu" icon (☰). These never break anything — they just move you. - Status — small signals about state: a padlock (locked), a green tick (done), a red dot (something new or needs attention), a spinning circle (loading, please wait). These tell you what is going on right now. ### Key facts - Every app screen is built from just four kinds of things: Information you read, Actions you press, Navigation that moves you, and Status that signals state. - Mastery % shows how well an app thinks you understand a topic — 40% in Chemistry does not mean a test score of 40, it means you are roughly 40% of the way to being confident in that topic. - A padlock icon is the universal sign that a feature is paid or not yet available to you; a good app shows what unlocks it, such as 'Unlock with [Plan name]' — it is information, not rejection. - Search works best with two or three keywords, not full questions — type 'photosynthesis' or '2019 O/L Maths', not 'can you explain how plants make food'. - For exam marking, the photo decides whether your work can be graded: use good light, keep the paper flat and straight, fill the frame with all four corners visible, and zoom in to check before sending. - In almost every app, tapping to look does no harm — reading a screen, opening a menu or pressing a tab breaks nothing; only buttons that say Pay, Submit, Delete or Confirm truly commit you. - A streak is a daily habit tracker, not a score — even ten minutes keeps it alive, and a broken streak is not a failure, just start again. ### Key takeaways - A dashboard is not decoration — read mastery %, progress bars, and streaks as instructions for what to study next. - A lock icon is information, not rejection: it tells you what a feature costs, and there is almost always a free path nearby. - Use search (🔍) and filters (the funnel) to go and find content yourself instead of waiting to be shown it. - A blurry photo cannot be marked — good light, flat paper, full page in frame, and check it before you send. - Every screen is just four things: Information you read, Actions you press, Navigation that moves you, and Status that signals state. - Tapping to look almost never breaks anything — only Pay, Submit, Delete and Confirm commit you. Explore freely. ### Try this now Open any learning app, school portal, or even a banking app on your phone right now. Spend two minutes doing only this: point to one thing that is Information (a number or a bar), one thing that is an Action (a button you could press), one thing that is Navigation (the bottom icons or the back arrow), and one thing that is Status (a tick, a dot, a lock, or a loading circle). Say each one out loud. That is it — you have just read a screen on purpose instead of guessing. Do this once a day with a different app and within a week no screen will scare you. ## Frequently asked questions **What does mastery % mean in a learning app?** Mastery % is how well the app thinks you understand a topic, shown as a percentage. It is not a test score — 40% in Chemistry means you are roughly 40% of the way to being confident in that topic. Act on it by studying your lowest-mastery subject first, because that is where your marks improve fastest. **What does a padlock or lock icon mean on an app?** A padlock icon means that feature is paid or not yet available to you. A good app shows what unlocks it, often with words like 'Unlock with [Plan]' or 'Available on Premium'. A lock is information, not rejection — look for the free version nearby, tap once to see what it offers, or simply move on. There is almost always plenty of free content. **How do I take a good photo of my answer for exam marking?** A marker, human or AI, cannot give marks for an answer they cannot read. Sit near a window or bright lamp for good light, put the paper flat on a table and hold the phone straight above it, get close so the page fills the frame but keep all four corners visible, then pinch to zoom and check your own handwriting is clear before sending. Wait for the 'upload complete' tick before closing the app. **How does search work best inside an app?** Tap the magnifying-glass icon and type two or three keywords, not a full sentence — search matches words, not questions. Use 'trigonometry' or '2019 O/L Maths', not 'can you explain how to do trigonometry'. If you get too many results, add a filter (the funnel icon) to narrow by subject, grade, or type. If you get none, use fewer or simpler words. **Will I break something if I tap around an app I don't understand?** No. In almost every app, tapping to look does no harm — reading a screen, opening a menu, or pressing a tab will not break anything or cost money. The only buttons that truly commit you are ones that clearly say Pay, Submit, Delete, or Confirm. Everything else is safe to explore, and exploring is exactly how you build fluency. **What is the difference between free and paid features, and is free enough to study?** Many apps offer some features free and some paid — this is normal and fair. A locked (padlock) feature usually sits right next to a free version of the same thing, and the free version is often enough for solid study. Tap a lock once to see a preview and the plan name, then decide. Locked does not mean you are missing everything; it means that one feature is for later. Here is a small challenge to make this real: open a learning dashboard and find the one subject where your mastery is lowest — the single topic that, if you improved it, would lift your marks the most. Just locate it; you do not have to study it yet. When you are ready to turn that number into actual progress, Idasara is a free, friendly place to practise reading a real dashboard and acting on what it tells you. Come and find your lowest number — then watch yourself move it. Start free ← All DigiReady lessons --- FREE DIGITAL-LITERACY PROGRAM · DigiReady 4 # Stop Asking AI for Answers — Start Asking It to Teach You An AI tutor can be the patient teacher you wish you had — but only if you know how to talk to it. Here is how to turn a vague question into a real lesson. 9 min read In short An AI tutor is only as good as the question you give it — vague questions get vague answers. To get real help, give four things in your prompt: the subject and topic, your grade or level, what you already tried, and exactly what confuses you, then ask the AI to teach you the method step by step instead of just handing you the answer. Keep asking follow-up questions, and when a learning-focused AI tutor refuses to do your work or redirects you off-topic, it is protecting your learning, not malfunctioning. You open an AI chat, type "explain photosynthesis," and get back a wall of text that sounds clever but does not help you with the exact thing your teacher asked in class. Or you type "how to do maths," and the answer is so general it could have come from any textbook. You close the app feeling that AI is overrated, or that maybe you are just not smart enough to use it. Neither is true. Here is the real secret that nobody tells you: an AI tutor is only as good as the question you give it. The same tool that gives one student a useless paragraph gives another student a clear, step-by-step lesson tailored to their O/L or A/L syllabus. The difference is not luck and it is not the AI. The difference is how they asked. This article teaches you that skill — how to talk to AI so it actually teaches you. It is one of the most valuable things you can learn right now, because it works for every subject, every exam, and every year of study ahead of you. ## Why vague questions get vague answers Think about asking a tuition teacher for help. If you walk up and say "Sir, I don't understand maths," what can he do? He does not know which topic, which question, or what you already tried. He will probably give you a general answer or ask you a lot of questions back. But if you say "Sir, in this trigonometry sum I got the sin value but I don't know how to find the angle," he can help you in thirty seconds. AI works exactly the same way. It is not a mind-reader. It can only respond to the words you actually type. A short, vague question gives it almost nothing to work with, so it falls back on the most general, textbook-like answer it can produce — the kind that sounds fine but does not touch your real problem. When you give a specific question, you are doing the AI's guessing for it. You are pointing at the exact spot where you are stuck. The more precisely you point, the more precisely it can help. This single idea is the foundation of everything else in this article. ## Give context: the four things every good question includes Context means the background information the AI needs to understand your situation. You carry this information in your head, so it feels obvious to you — but the AI cannot see your textbook, your timetable, or your face. You have to tell it. The good news is that there are only four things you usually need to add, and once you make a habit of them, your answers improve immediately. - Subject and topic — not just "science" but "O/L Science, the topic of electricity, specifically Ohm's law." - Your grade or level — "I am an A/L student" or "this is for the Grade 11 O/L exam." An A/L answer and a Grade 6 answer are very different, and the AI needs to know which one you want. - What you already tried — "I calculated the current as 2 amps but the answer in the book is 4 amps." This tells the AI where your thinking went, so it can correct the exact mistake instead of starting from zero. - What exactly confuses you — "I don't understand why we divide here" is far more useful than "I don't get it." Name the precise step or idea that is blocking you. ## Treat AI as a tutor, not an answer-key This is the most important idea in the whole article, so read it twice. A good tutor does not just hand you the answer and walk away. A good tutor shows you the method, so that next time you can solve it yourself. AI can do either — and which one you get depends on what you ask for. If you type "solve this quadratic equation," the AI may just give you x = 3 and x = -5. You copy it into your homework, you feel relieved, and you learn nothing. Then the exam comes, there is no AI in the hall, and you are stuck — because you never actually learned the method. You used the AI as an answer-key, and an answer-key cannot sit your exam for you. Instead, ask it to teach you the method. Say: "Don't give me the final answer yet. Show me step by step how to solve this type of quadratic equation, and explain why each step works." Now you are using it as a tutor. You can even ask it to give you a similar practice question and check your attempt. That is how real learning happens — and it is the only kind that survives into the exam hall. A simple rule to remember: ask for the method, not the answer. If you ever feel you are just copying, stop and ask the AI to explain instead. ## Ask follow-up questions to go deeper A conversation with AI is not one question and done. It is a back-and-forth, just like sitting with a teacher. The first answer is rarely the best one for you, because the AI made its best guess about your level. Your job is to push it toward exactly what you need by asking follow-up questions. If the explanation is too hard, say "That was too complicated. Explain it again like I am twelve years old, with a simple example." If it is too basic, say "I already understand the basics. Go deeper into why this formula works." If you do not understand one word it used, ask "What does 'velocity' mean in this sentence?" There is no shame in any of these — the AI will never judge you, get tired, or sigh. That is its biggest advantage over a crowded classroom. Good follow-ups also include asking for examples ("Can you give me a real-life example from Sri Lanka?"), asking for a check ("Did I understand this correctly: ...?"), and asking for practice ("Give me three questions to test if I learned this"). Each follow-up makes the lesson more yours. The students who get the most out of AI are not the ones who ask the cleverest first question — they are the ones who keep asking. ## Why an AI tutor sometimes says no — and why that is good At some point you may ask an AI tutor something and it politely refuses, or steers you back to your studies. Maybe you asked it to write your whole essay for you, or you went off-topic and asked about a film or a cricket score, or you tried to get it to simply do your assignment so you could submit it as your own. This is not the AI being annoying or broken. A learning-focused AI tutor has an on-topic guard — a built-in rule that keeps the conversation pointed at helping you learn, rather than doing the work for you or drifting into things that do not help your studies. Think of it like a good teacher who says, "I am not going to write your essay, but I will help you plan it and improve your own writing." The teacher who refuses to do it for you is the one who actually cares whether you learn. So when an AI tutor redirects you, do not fight it — work with it. Instead of "write my essay on water pollution," ask "help me make an outline for an essay on water pollution, and suggest points I might be missing." Instead of asking it to finish your sum, ask it to check your working and tell you where you went wrong. The guard is there to protect the one thing that matters: that you walk away having actually learned something. ## Before and after: weak prompts vs. strong prompts Theory is easy to nod along to and hard to apply, so here are real before-and-after examples for O/L and A/L study. Read the weak version, then see how a few small additions transform it into a question that gets a genuinely useful, teaching answer. Notice the pattern in every "strong" version: the subject and level are named, the exact confusion is pointed at, and the AI is asked to teach rather than just answer. You do not need fancy words or perfect English. You just need to be specific and honest about where you are stuck. That is a skill you can build today, and it will serve you for the rest of your studies. - WEAK (O/L): "Explain photosynthesis." — STRONG: "I am a Grade 11 student preparing for the O/L Science exam. Explain photosynthesis step by step in simple words, list the inputs and outputs, and tell me which parts examiners usually ask about." - WEAK (O/L Maths): "Solve this: 2x + 6 = 14." — STRONG: "I am doing O/L Maths. Don't give me the final answer yet — show me the steps to solve 2x + 6 = 14 and explain the reason for each step, so I can solve similar ones myself." - WEAK (A/L): "Tell me about the French Revolution." — STRONG: "I am an A/L History student. Give me the three main causes of the French Revolution with one clear example each, then ask me a question to check if I understood." - WEAK (A/L Combined Maths): "How to do integration?" — STRONG: "I am an A/L Combined Maths student. I understand basic differentiation but integration confuses me. Explain what integration actually means with a simple example, then show me one worked problem step by step." - WEAK (A/L Chemistry): "I don't understand moles." — STRONG: "I am an A/L Chemistry student. I get confused converting grams to moles. Here is what I tried: I divided 18 g of water by 2 and got 9. Explain where my thinking went wrong and the correct method." ### Key facts - An AI tutor can only respond to the words you actually type — it cannot see your textbook, your timetable, or what topic your teacher set, so a short vague question gets a general textbook-like answer. - A good study prompt includes four things: the subject and topic, your grade or level (O/L vs A/L matters), what you already tried, and exactly what step or idea confuses you. - Ask the AI for the method, not just the answer — an answer-key cannot sit your exam for you, so copying an answer teaches you nothing for the exam hall. - A conversation with AI is back-and-forth: if an explanation is too hard say 'explain it like I am twelve with a simple example'; if it is too basic say 'go deeper'; and ask for practice questions to check yourself. - A learning-focused AI tutor has an on-topic guard that keeps it pointed at helping you learn — so it may refuse to write your whole essay or redirect you off-topic, the same way a good teacher refuses to do the work for you. - When an AI tutor redirects you, rephrase to ask for help instead of a shortcut: instead of 'write my essay on water pollution', ask 'help me make an outline and suggest points I might be missing'. - Writing a good AI prompt is a learnable skill, not a talent — the students who get the most from AI are not the ones who ask the cleverest first question, but the ones who keep asking follow-ups. ### Key takeaways - AI can only answer the question you actually type — vague in, vague out. - Always give four things: subject, your grade/level, what you tried, and exactly what confuses you. - Ask for the method, not just the answer — an answer-key cannot sit your exam for you. - Keep going with follow-up questions: ask it to simplify, go deeper, or give you practice. - When an AI tutor refuses or redirects, it is protecting your learning — rephrase to ask for help, not a shortcut. - Being specific is a learnable skill, not a talent — small additions turn a weak prompt into a real lesson. ### Try this now Pick one topic you are genuinely stuck on right now — any subject. First, type the lazy version of your question, like "explain [topic]," and read the answer. Then rewrite it using the four-part formula: name your grade/level, the subject and exact topic, what you already tried, and the precise thing that confuses you — and add "explain the method step by step, don't just give the answer." Send that, then ask one follow-up: "give me one practice question to check if I understood." Compare the two answers. You will feel the difference immediately. ## Frequently asked questions **Why does AI give me such general, useless answers?** Because your question was too vague. AI can only respond to the exact words you type — it cannot see your textbook or know your level. Add the subject and topic, your grade (O/L or A/L), what you already tried, and exactly what confuses you, and the answer becomes specific and useful. **What four things should every good AI study question include?** Four things: (1) the subject and exact topic, e.g. 'O/L Science, Ohm's law'; (2) your grade or level, since an A/L answer differs from a Grade 6 one; (3) what you already tried, so it can correct your exact mistake; and (4) the precise step or idea that confuses you, not just 'I don't get it'. **Should I ask AI for the answer or the method?** Always ask for the method. If you just copy the answer, you learn nothing and the exam hall has no AI in it. Say 'don't give me the final answer yet — show me step by step how to solve this and explain why each step works', then ask for a similar practice question to check yourself. **Why does the AI tutor refuse to write my essay or answer off-topic questions?** It is not broken — a learning-focused AI tutor has an on-topic guard that keeps it helping you learn rather than doing the work for you. Like a good teacher who won't write your essay but will help you plan it, the guard protects your learning. Rephrase to ask for help: 'make an outline and suggest points I'm missing' instead of 'write my essay'. **What if the AI's explanation is too hard or too easy for me?** Keep going with follow-up questions — a conversation with AI is back-and-forth. If it's too hard, say 'explain it again like I'm twelve, with a simple example'. If it's too basic, say 'I know the basics, go deeper into why this works'. If a word confuses you, ask what it means. The AI never gets tired or judges you. **Do I need perfect English to prompt an AI tutor well?** No. You don't need fancy words or perfect English — you just need to be specific and honest about where you are stuck. Being specific is a learnable skill, not a talent. The students who get the most from AI are not the ones who ask the cleverest first question; they are the ones who keep asking follow-ups. The best way to build this skill is not to read about it — it is to do it. Idasara has a free AI tutor built specifically for the Sri Lankan O/L and A/L syllabus, and it is ready for you to practise on right now. Open it, bring one topic you are stuck on, and try the four-part question you just learned. Ask it to teach you the method, ask a follow-up, ask for a practice question — and watch how quickly a confusing topic starts to make sense when you know how to talk to AI properly. Your first good conversation with a tutor that never gets tired is a few taps away. Start free ← All DigiReady lessons --- FREE DIGITAL-LITERACY PROGRAM · DigiReady 5 # When the Robot Sounds Sure but Gets It Wrong: How to Spot When AI Lies AI tools can answer in a calm, confident voice and still be completely wrong. Here is how to use them to study faster — without letting them quietly hand you a mistake on exam day. 9 min read In short AI chatbots can give wrong answers in a calm, confident voice — this is called a hallucination, because they predict likely-sounding words rather than look up verified facts. To study safely, cross-check every important formula, date, name, and source against your textbook, redo calculations by hand, and prefer a grounded AI tutor tied to your curriculum over an open chatbot. The rule is simple: verify before you trust, and never outsource the judgement you will need alone in the exam hall. You ask an AI chatbot a question for your A/L Chemistry revision. It gives you a clean, confident answer in three neat paragraphs, with a formula and even a date. It sounds like a teacher who has marked a thousand papers. So you write it in your notes and move on. Then, weeks later, you check the textbook — and the formula was wrong. The date was off by ten years. The "fact" it gave you does not exist in your syllabus at all. The scary part is that the AI never sounded unsure. It never said "I think" or "maybe." It lied to you in a perfectly calm voice. This is the single most important digital skill of this whole programme. AI can genuinely help you learn faster. But only if you stay the boss — if you check before you trust. Let us learn exactly how AI gets things wrong, and how to catch it every time. ## Why a machine that "knows everything" still makes things up First, the word you will hear everywhere: hallucination. When an AI "hallucinates," it means the AI has confidently produced an answer that is simply false — a made-up fact, a wrong formula, a fake quote, a book or court case that does not exist. It is not lying on purpose, because it has no idea what "true" even means. But the result is the same: wrong information delivered with total confidence. To understand why this happens, you need one idea about how these tools work. A chatbot like ChatGPT is not a search engine looking up correct answers in a giant book. It is a very advanced guessing machine. It has read enormous amounts of text from the internet, and it predicts the next most likely word, over and over, to build a sentence that sounds right. Think of it like the autocomplete on your phone keyboard — but trained on billions of pages. Here is the trap. The AI is built to produce text that sounds correct, not text that is correct. Most of the time, sounding-correct and being-correct line up, so the answer is fine. But when the AI does not actually know something, it does not stop and say "sorry, I don't know." It keeps guessing in the same smooth, confident voice — and that guess is the hallucination. This is why confidence is meaningless from an AI. A nervous classmate who says "I think it's maybe 9.8?" is giving you more honest information than an AI that states a wrong number like it is reading from God's own textbook. Never treat a confident tone as proof. The machine sounds equally sure whether it is right or completely wrong. ## Where AI lies the most: facts, formulas, dates, and sources AI does not hallucinate randomly. It tends to slip in very specific, high-risk places — and luckily, these are exactly the places that matter most for your O/L and A/L exams. If you only learn to double-check four things, check these: - Numbers and formulas — a Physics constant, a Maths formula, a Chemistry molar mass, a conversion. AI mixes these up easily, and one wrong digit fails the whole problem. - Dates and events — the year of a historical event, when a discovery happened, the order of events. AI will state a wrong year with full confidence. - Names and definitions — who discovered what, the exact wording of a definition, the correct technical term. AI sometimes swaps one scientist for another or invents a term. - Sources and citations — if you ask "which book says this?" AI can invent a book title, an author, a page number, or a website that does not exist. This is one of the most dangerous kinds of hallucination because the fake source makes the lie look trustworthy. - Anything very local or very recent — details about a specific Sri Lankan school portal, a 2025 syllabus change, your district's exam timetable. The AI has thin or outdated knowledge here and fills the gap by guessing. ## Sanity-check an answer in 60 seconds You do not need to be a genius to catch a hallucination. You just need a small, fixed habit you run on important answers. Here is the simplest version, and it takes about a minute. The core move is: cross-check against something you already trust. Your prescribed textbook, your past papers, your teacher's notes, and your tuition handouts are your truth source — not the chatbot. The AI is a helper that points you in a direction; the textbook is the authority that confirms it. Run these three quick checks on anything that matters — a formula you will use in an exam, a fact you will write in an answer, a date you will memorise: - Cross-check the textbook. Open your prescribed book or notes and find the same formula, date, or definition. If they disagree, the textbook wins — always. - Ask the AI for its source, then verify it yourself. Type: "Which textbook chapter or source supports this?" If it can't give one, or gives a vague answer, treat the claim as unconfirmed. Crucially, do not just trust the source it names — the source itself can be invented. Actually look it up. - Redo the calculation yourself. If the AI worked out a Maths or Physics problem, do the working by hand once. If your answer matches, good. If it doesn't, find where it went wrong — the AI often makes one small arithmetic slip in the middle of a correct-looking method. ## Grounded tutors vs. open chatbots: why grounding is safer for study Not all AI tools are equally risky. There is an important difference between an open chatbot and a grounded tutor, and understanding it will change how you study. An open chatbot (the general-purpose ones) answers from everything it absorbed across the whole internet. It is broad but ungrounded — it has no fixed, checked source it must stick to, so it is free to wander off and invent. It is like asking a clever stranger who has read a bit of everything but remembers some of it wrong. A grounded tutor is different. "Grounded" means the AI is tied to a specific, trusted set of materials — in your case, your actual curriculum: the syllabus, the textbook content, past papers. Before answering, it pulls the relevant pages from that approved material and builds its answer from them, instead of guessing from the whole internet. A good grounded tutor will even show you which curriculum material the answer came from. For studying, grounding is much safer, for three reasons. First, the answer is far more likely to match what your exam actually expects, because it comes from your syllabus, not a foreign one. Second, hallucinations drop sharply, because the AI is answering from real pages instead of inventing. Third, you can check it — when the tool cites the curriculum material, you can confirm it yourself in seconds. None of this makes a grounded tutor perfect, so you still verify. But you are starting from a much safer place. ## Stay in control: use AI to think faster, not to stop thinking Here is the mistake that quietly hurts students the most — and it is not getting a wrong answer. It is outsourcing your judgement. That means letting the AI do your thinking for you, so that slowly you stop being able to judge what is right yourself. On exam day, there is no chatbot beside you. The only tool in that hall is your own trained brain. Use AI like a smart study partner, not a replacement for your effort. A study partner is great for: explaining a hard concept three different ways until it clicks, quizzing you, turning a chapter into practice questions, checking your essay structure, or unblocking you when you are stuck at 11 pm. In every one of those uses, you are still the one learning and deciding. The verify-before-you-trust habit is what keeps you in control. Build it as a reflex: read the AI's answer, then ask "how would I know if this is wrong?" before you accept it. For a fact, check the book. For a calculation, redo it. For a claim, ask for the source and look it up. Over time this does something powerful — it makes you a sharper, more sceptical thinker, which is exactly the skill that helps you in exams, at university, and in any job you will ever have. A useful way to remember the right balance: let AI speed up your learning, but never let it replace your judgement. Faster is good. Lazier is a trap. The student who uses AI and still checks everything will beat both the student who refuses to use AI and the student who blindly trusts it. ## Common mistakes that trip students up Even students who know AI can be wrong still fall into a few predictable traps. Watch for these in yourself: - Trusting the confident tone. The smoother and more detailed the answer, the more we believe it — but polish is not proof. A confident wrong answer is still wrong. - Believing a source just because it was named. AI can invent a perfectly real-looking book title and page number. A citation is only useful if you actually find and check it. - Checking the easy facts but skipping the exam-critical ones. People verify trivia and then blindly copy the one formula that decides the marks. Verify the high-stakes things hardest. - Copying answers into notes without redoing the working. If you never reproduce the method yourself, you have memorised a possibly-wrong answer instead of learning the skill. - Asking the same AI to check its own work. It will often happily agree with its own mistake. Check against an independent source — your textbook, not the same chatbot. ### Key facts - An AI hallucination is when an AI confidently produces an answer that is simply false — a made-up fact, a wrong formula, a fake quote, or a source that does not exist. - A chatbot like ChatGPT is not a search engine; it is an advanced guessing machine that predicts the next most likely word, built to produce text that sounds correct rather than text that is correct. - A confident tone from AI is meaningless: the machine sounds equally sure whether it is right or completely wrong, so never treat confidence as proof of truth. - AI hallucinates most in four high-risk places that exams test directly: numbers and formulas, dates and events, names and definitions, and sources or citations. - To sanity-check an AI answer: cross-check it against your textbook (the textbook always wins), ask the AI for its source and actually look it up, and redo any calculation by hand. - A grounded AI tutor is tied to a trusted set of materials such as your syllabus, textbook content, and past papers, so it answers from real curriculum pages and can show its source — making it far safer for study than an open chatbot. - Never ask the same AI to check its own work — it will often agree with its own mistake; verify against an independent source like your textbook instead. ### Key takeaways - AI can be completely wrong while sounding completely confident — this is called a hallucination, and a calm tone is never proof of truth. - Chatbots predict likely-sounding words, not verified facts, so they invent answers when they don't actually know. - Double-check the four risky things hardest: formulas, dates, names/definitions, and sources — these are exactly what your exams test. - Your textbook, past papers, and teacher's notes are the authority; the AI is only a helper that points the way. - A grounded tutor tied to your curriculum is safer than an open chatbot, because it answers from real syllabus material and can show its source. - Use AI to learn faster, but verify before you trust — never outsource the judgement you'll need alone in the exam hall. ### Try this now Pick one formula, date, or definition you need for your next exam. Ask any AI chatbot to explain it AND to tell you which textbook chapter supports it. Now do two checks: (1) open your prescribed textbook and confirm the answer matches, and (2) try to actually find the source the AI named. Notice how it feels — sometimes everything checks out, and sometimes you catch a slip. Either way, you just practised the most important AI skill there is: trusting your own check over the machine's confidence. ## Frequently asked questions **What is an AI hallucination?** An AI hallucination is when an AI confidently gives an answer that is simply false — a made-up fact, a wrong formula, a fake quote, or a source that does not exist. The AI is not lying on purpose; it predicts likely-sounding words rather than looking up verified facts, so when it does not actually know something it keeps guessing in the same calm, confident voice. **Why does AI sound so confident even when it is wrong?** Because the AI is built to produce text that sounds correct, not text that is correct. It predicts the next most likely word like a very advanced autocomplete, and it has no idea what "true" means. It sounds equally sure whether it is right or completely wrong, so a confident tone is never proof — never treat it as one. **How can I check if an AI answer is correct?** Run three quick checks on anything that matters, taking about a minute. First, cross-check it against your prescribed textbook or notes — if they disagree, the textbook always wins. Second, ask the AI which source supports the claim, then actually look that source up yourself, because the source itself can be invented. Third, redo any calculation by hand, since the AI often makes one small arithmetic slip inside a correct-looking method. **What is the difference between a grounded AI tutor and an open chatbot?** An open chatbot answers from everything it absorbed across the whole internet, so it has no fixed checked source and is free to wander off and invent. A grounded tutor is tied to a specific trusted set of materials — your syllabus, textbook content, and past papers — and pulls relevant pages from that approved material before answering, and can show you the source. For studying, grounding is far safer: the answer matches your exam, hallucinations drop sharply, and you can verify it in seconds. **Where does AI get things wrong most often?** AI slips in four specific high-risk places that are exactly what exams test: numbers and formulas (one wrong digit fails the whole problem), dates and events, names and definitions, and sources or citations (it can invent a real-looking book title and page number). It is also unreliable on anything very local or very recent, like a specific Sri Lankan school portal or a 2025 syllabus change, because its knowledge there is thin and it fills the gap by guessing. **Can I ask the AI to check its own answer?** No — asking the same AI to check its own work is one of the most common mistakes. It will often happily agree with its own mistake. Always check against an independent source instead: your textbook, your past papers, or your teacher's notes — not the same chatbot. Those trusted materials are the authority; the AI is only a helper that points the way. The best way to build the verify-before-you-trust habit is to practise it on real study material. On Idasara you can try a grounded AI tutor for free — one that answers from your actual O/L and A/L curriculum instead of the open internet. Bring a tricky formula or a tough concept, ask the tutor, and then do exactly what this module taught: open the matching part of your own textbook, check the answer against it, and redo the working yourself. That is how you turn AI from something you blindly trust into something you confidently control. Start free ← All DigiReady lessons --- # Ace Your O/L and A/L Exams — With an AI Coach That Never Sleeps Stop guessing what to study. Idasara Academy builds a daily study plan around YOUR weaknesses, gives you instant AI tutoring at any hour, and tracks your exam readiness so you know exactly how prepared you are. Start My Exam Prep Free ## The Exam Preparation Problem Sri Lankan students prepare for high-stakes O/L and A/L exams with expensive private tuition, rote memorisation, and no real feedback on what they actually know versus what they think they know. The result: stress, wasted hours, and results that do not match the effort. ### Expensive Private Tuition Families spend thousands per month on tuition classes that teach at the same pace for every student. If you already understand a topic, you sit through it anyway. If you are struggling, the class moves on without you. ### Rote Memorisation Most exam prep is about memorising model answers, not understanding concepts. This works until the exam asks the question slightly differently — and then students freeze. ### No Feedback on Readiness Students study for months with no way to measure whether they are actually ready. The exam itself becomes the first real test — and by then it is too late to fix gaps. ## Structured, AI-Powered Exam Preparation Idasara Academy replaces tuition-hopping with intelligent exam preparation. The AI Study Coach analyses your performance across every topic, builds daily study plans that target your weakest areas, and gives you a clear Exam Readiness Score so you always know where you stand. ## What You Get ### AI Study Coach Ask questions any time of day or night and get step-by-step explanations. The AI tutor does not give you the answer — it teaches you the concept so you can solve the next problem yourself. ### Daily Study Plans Every day, the AI builds a personalised study plan based on your weakest topics. No more wondering what to study next — your plan is ready every morning. ### Micro-Quizzes Quick, targeted assessments that zero in on your gap areas. Five minutes of micro-quizzes can reveal more about your understanding than an hour of passive reading. ### Exam Mode Simulated timed exams based on real past paper formats. Practice under real conditions, get AI-powered grading, and review every mistake with detailed explanations. ### Exam Readiness Score A score from 0 to 100 that tells you exactly how prepared you are. Updated daily based on your quiz results, past paper performance, and study plan completion. No more guessing. ### Flash Cards Spaced repetition flash cards for key facts, formulas, and definitions. The system shows you cards you are about to forget — so you remember more with less effort. ## Simple, Affordable Pricing Less than the cost of one tuition class per month. Start free, upgrade when you are ready. ### Free Free forever - Limited AI Study Coach access - Basic study materials - Progress tracking Get Started ### Starter LKR 3,000 per month, all subjects included - Full AI Study Coach access - Daily personalised study plans - Micro-quizzes and flash cards - Exam Readiness Score Start Free Trial ### Advanced LKR 4,500 per month - Everything in Starter - Exam Mode with past papers - AI-powered answer grading - Priority AI coach access Start Free Trial ### Mastery LKR 7,500 per month - Everything in Advanced - Unlimited AI coaching - Advanced analytics - Personalised revision schedules Start Free Trial See full pricing details ## Frequently Asked Questions ### Is this better than private tuition? Private tuition gives you a fixed schedule with one teacher's approach. Idasara's AI Study Coach is available 24/7, adapts to YOUR specific weaknesses, and costs a fraction of monthly tuition fees. It does not replace a great teacher — it gives you a tireless study partner that knows exactly where you struggle. ### Which subjects are covered? We cover the core O/L and A/L subjects in the Sri Lankan national curriculum — Mathematics, Science, English, Sinhala, Tamil, Commerce, and more. Subject coverage is expanding every term. Check our pricing page for the latest subject list. ### How does the AI know my weaknesses? Every time you answer a quiz, attempt a past paper, or ask the AI coach a question, the system builds a detailed map of what you know and what you do not. Your daily study plan is generated from this map — so you spend time on topics that actually need work, not topics you have already mastered. ### Can I practice past papers? Yes. Exam Mode gives you timed, simulated exams based on real past paper formats. After each attempt, the AI grades your answers, explains mistakes, and updates your Exam Readiness Score so you can track improvement over time. ### What is the Exam Readiness Score? Your Exam Readiness Score is a number from 0 to 100 that tells you how prepared you are for your upcoming exam, based on your quiz performance, past paper results, and study plan completion. It updates daily so you always know where you stand — no more guessing whether you have studied enough. ### Recommended for You University Entrance Prepare for university admissions after your exams OWN YOUR FUTURE Build skills beyond exams Join students across Sri Lanka who are preparing smarter 60+Founding Members 12+Subjects Covered 3Languages Become a founding member — free Mastery access for beta participants ### Related Read: Why Tuition Alone Won't Get You an A Guide: Physics Mastery Strategy For Parents: Track Your Child's Progress ## Start Preparing Smarter Today Your O/L or A/L exam is coming. Stop guessing and start knowing exactly where you stand. Free to start, no credit card required. Start My Exam Prep Free --- # AI Literacy Capability keeps getting cheaper. Judgment does not. Also in: සිංහල · தமிழ் In 2026 two major bodies finally wrote down what AI literacy means — the US Department of Labor for the workforce, and the European Commission and OECD for schools. Read either list and the same thing stands out: almost every competency is judgment, not tool operation. Assess the output. Understand the limitations. Take accountability. Both are published in English, for education and workforce systems that already function. That is entirely reasonable given who built them — and it leaves a student in Anuradhapura or Jaffna with an authoritative document they cannot read. We do not compete with those programs. We carry them: into Sinhala and Tamil, and out across the country. ## Reading ### The Gen AI Evolutionary Journey: 2017 to 2035 Eight years that rewrote what a machine can do — and what a person needs to know. ## Learning ### Students — DigiReady Free. Five lessons. No prior technical background assumed, because assuming it is how you exclude the people who most need it. Two lessons map directly onto the framework competencies above: how to make an AI teach you rather than answer for you, and how to spot when it is confidently wrong. Start DigiReady free ### Working adults — AI Aptitude Practical automation of real HR, finance and operations tasks — part of the six-pillar Own Your Future roadmap covering digital literacy, AI, employability, financial literacy, financial independence and entrepreneurship. Explore AI Aptitude Opens with a free maturity diagnostic Ready to start learning? Create a free account --- # The Gen AI Evolutionary Journey: 2017 to 2035 Eight years that rewrote what a machine can do — and what a person needs to know. Published 2026-08-17 · last reviewed 2026-08-17 · next review due 2026-11-17. Model pricing and release claims in the mid-2026 section date quickly — check the sources before relying on a figure. Also in: සිංහල · தமிழ் Eight years that rewrote what a machine can do — and what a person needs to know. A verified timeline from the Transformer paper to the agentic present, written for students, parents, and anyone who suspects they are already behind. Updated August 2026. Most people date the AI revolution to November 2022, when they first typed a question into ChatGPT and something answered back. That is when it became visible. It is not when it started. The architecture that made it possible was published five years earlier, in a paper with an unusually confident title. What happened between that paper and today is one of the fastest capability curves in the history of technology — and it is still bending upward. This is a map of that curve. Where it came from, where it stands in 2026, and what can honestly be said about where it goes next. ## Phase 1 — Origins (2017–2021): the architecture before the audience In June 2017, eight researchers at Google published "Attention Is All You Need". It introduced the Transformer: an architecture that dropped the sequential processing of earlier language models in favour of a self-attention mechanism, letting a model weigh every word in a sequence against every other word, in parallel. The practical consequence was scale. Transformers trained efficiently on modern hardware in a way their predecessors could not. Everything that followed is downstream of that single design decision. The next four years were a quiet, expensive scaling experiment. GPT-1 in 2018. GPT-2 in 2019, withheld from full release because its creators judged it too capable to publish safely — a judgment that reads as almost quaint now. GPT-3 in 2020, at 175 billion parameters, demonstrating that a model given no task-specific training could still perform tasks it was merely shown in the prompt. In parallel, diffusion models began turning text into images, with DALL·E arriving in early 2021. None of this reached the public. For four years, the most important technology of the decade was a research curiosity with a waitlist. What this phase teaches: the breakthrough and the adoption are separate events, often separated by years. Anyone waiting for a technology to feel obvious before learning it is already four years late. ## Phase 2 — The mainstream boom (November 2022): distribution, not invention OpenAI released ChatGPT publicly on 30 November 2022. The underlying model was not a dramatic leap over what already existed. The interface was. The result was the fastest consumer adoption curve anyone had measured. A UBS analysis published in early February 2023, drawing on Similarweb traffic data, estimated that ChatGPT had reached roughly 100 million monthly active users within about two months of launch — against nine months for TikTok and two and a half years for Instagram. UBS analysts noted they could recall no comparable ramp in two decades of covering the internet sector. Two honest caveats, because they matter more than the headline: - These were third-party estimates from traffic analytics, not audited figures released by OpenAI. - The record itself did not survive long. Instagram's Threads passed 100 million users in five days in July 2023. "Fastest-growing consumer app in history" was true when written and superseded within months. What did not get superseded was the shift in expectation. Before November 2022, conversational AI was a demo. After it, it was a baseline assumption. The technology had existed for years; the permission to use it arrived in a weekend. ## Phase 3 — The frontier race (2023–2024): capability becomes contested Once the market existed, the competition became serious in a way research competition rarely is. Anthropic and the reasoning frontier. The Claude 3 family arrived in March 2024, with Claude 3.5 Sonnet following in June. This generation set the reference standard for extended reasoning, long-context comprehension, and coding — and, notably, for the developer experience of building on top of a model rather than merely chatting with one. Anthropic's position through this window was built as much on safety methodology and reliability under long-horizon tasks as on raw benchmark scores. DeepSeek and the cost collapse. In late December 2024, the Chinese lab DeepSeek released DeepSeek-V3 — a 671-billion-parameter Mixture-of-Experts model that activates only about 37 billion parameters per token, trained on 14.8 trillion tokens. The disclosed training run consumed roughly 2.788 million H800 GPU-hours, an estimated US$5.6 million in compute, against public estimates of $50–100 million for comparable frontier models. Weeks later, in January 2025, DeepSeek-R1 applied large-scale reinforcement learning on top of that base to produce a reasoning model competitive with the closed frontier — released under a permissive open licence. Note the accounting caveat: the $5.6m figure covers the final training run. It excludes research, failed runs, data pipeline, and staff. It is not the cost of building DeepSeek; it is the cost of the last lap. The picture got clearer in September 2025, when R1 became the first major language model to pass peer review, in Nature — with the reinforcement-learning stage disclosed at around US$294,000, sitting on top of the multi-million-dollar base model it was built from. Two numbers, two different questions. Even properly discounted, they broke an assumption the entire industry had been operating on — that frontier reasoning was structurally reserved for those who could spend hundreds of millions. What this phase teaches: capability stopped being scarce. Two things replaced it as the constraint — the cost of inference, and the skill of the person holding the tool. ## Phase 4 — The systems paradigm shift (2025): from prompt to loop 2025 was the year the unit of work stopped being the prompt. The agentic loop. Instead of a single request producing a single output, systems began running continuously: Perceive → Reason → Execute tool → Verify result → Refine A model that can call a tool, read what came back, notice it was wrong, and try again is doing something categorically different from text completion. It is closing a feedback loop. Self-correcting code generation, multi-step research, and multi-agent delegation all descend from this one structural change. Graph-structured retrieval. The other 2025 shift was in how models are given knowledge. Naive retrieval chops documents into chunks and fetches whichever chunks look similar to the question — which loses every relationship between them. GraphRAG and knowledge-graph backbones instead preserve the structure: entities as nodes, relationships as edges, so a system can answer questions requiring several connected hops rather than one lucky match. One correction worth making explicitly, because the claim circulates widely: this does not eliminate hallucination. Graph-structured retrieval measurably reduces unsupported answers on multi-hop questions and makes the reasoning path auditable. It does not make a language model incapable of being confidently wrong. Any vendor promising zero hallucination is selling something. (A note on terms: "loop engineering" and "graph engineering" are useful shorthand for these two shifts, but they are not yet standard industry vocabulary. You will more often see "agentic systems" and "GraphRAG" in the literature.) ## Phase 4.5 — The frontier splits (mid-2026): gated or open Eight weeks in the middle of 2026 redrew the map again, and this time the split was not about who was ahead. It was about who gets to hold the thing. 9 June. Anthropic released Claude Fable 5 and Claude Mythos 5 — the same underlying model, shipped at two different levels of restraint. Fable 5 is the public one. Mythos 5 is that same capability with the safeguards removed, and it is not for sale: access runs through Project Glasswing, a US government collaboration, and vetted partners. No self-serve option, no public API. The mechanism inside Fable 5 is worth understanding, because it is the shape of things now. It does not simply refuse the hard questions. Classifiers watch for three categories — cybersecurity exploitation, dual-use biology and chemistry, and attempts to extract the model's own capability — and quietly hand those sessions to a smaller model instead. Anthropic reports that more than 95% of Fable sessions never trigger a fallback at all. Safety stopped being a wall and became a routing decision. 16 July. Moonshot AI released Kimi K3 — 2.8 trillion parameters, a million-token context window, routing each token through 16 of its 896 expert networks. The weights went up for public download in late July. Anyone can run it. 3 August. Alibaba announced Qwen3.8-Max — 2.4 trillion parameters, about 95 billion active per request, and the first model in its class from Alibaba to have its weights published openly. Three honest caveats before anyone reads a winner into this: - The benchmark claims are mostly the vendors' own. Alibaba's numbers come from internal runs; independent verification was still pending at announcement. Treat any first-party scorecard as marketing until someone else reproduces it. - "Matches the frontier" is too strong. On independent head-to-head comparisons Fable 5 still takes the majority of shared coding evaluations. What K3 genuinely wins is the long-horizon agentic end — the tasks that run for hours rather than seconds. - The real number is the price. K3 lists around US$3 per million input tokens against Fable 5's $10, and $15 output against $50. Roughly 70% cheaper for work in the same league. What this phase teaches: the question stopped being can a machine do this and became who is allowed to hold it, and what does it cost to run. And notice where that leaves the reader of this article. Frontier-class capability now sells for a fraction of what it did eighteen months ago, and in some cases can be downloaded for nothing. The tool is not the scarce thing. It has not been for a while. ## Phase 5 — Embodied systems and digital twins (2026–2030): the present tense This is where the map stops being history and becomes the current job. As of 2026, agentic AI has crossed out of the demo phase and into production — unevenly. Anthropic's 2026 State of AI Agents Report, surveying over 500 technical leaders, found nearly nine in ten organisations now using AI to assist with development, with 86% deploying agents for production code rather than experimentation. Around 57% run multi-step agent workflows. Eight in ten believe agents have already delivered measurable return. The blockers those leaders name are not model capability — they are integration with existing systems (46%), data quality (42%), and change management (39%). But the honest reading of 2026 is a gap, not a triumph. Forrester's assessment is blunter: around three-quarters of enterprise leaders say they are adopting agentic AI, while only a small minority have anything running in meaningful production beyond a chatbot with ambitions. Gartner has forecast that more than 40% of agentic AI projects will be cancelled before the end of 2027, citing escalating costs, unclear business value, and inadequate risk controls. That is the shape of this decade: the technology is ready before the organisations are. Digital twins — live simulation models of factories, logistics networks, power grids, and cities — and multi-agent enterprise orchestration are the direction of travel through 2030. The constraint is organisational readiness, not silicon. ## Phase 6 — The future horizon (2031–2035): where the map ends Everything past this point is projection. Nothing in this section is a verified fact, and it should be read at a completely different level of confidence from everything above it. What follows is the honest extrapolation of trajectories already visible in 2026 — not a forecast, and certainly not a plan. One useful way to read the decade is against somebody else's homework. Huawei's Global Industry Vision — Intelligent World 2035, published in September 2025, is among the more specific public attempts to quantify where this goes, and it is worth engaging with precisely because it commits to numbers rather than adjectives. Read it with one eye open. Huawei sells networking equipment, compute, storage, and energy infrastructure. Every trend below happens to imply enormous demand for exactly what Huawei sells. That does not make the forecast wrong — a company that builds this infrastructure has genuine visibility into where it is heading — but a vendor forecast is a position, not a neutral measurement. Treat the direction as informed and the magnitudes as marketing until someone independent checks them. The same rule applied to Alibaba's benchmark table two sections ago; it applies here too. With that stated plainly, five directions are worth naming. Energy and compute: ceiling, or just the next bill? This is the most defensible projection on the list, because it is already true. The trillion-parameter generation of 2026 did not arrive because someone had a new idea about architecture — the Transformer is nine years old. It arrived because someone could afford to train and serve it. Mixture-of-Experts designs exist precisely to dodge this wall: activating 95 billion parameters instead of 2.4 trillion per request is an economic decision before it is a technical one. Huawei puts a number on where that lands. It projects global data centres consuming roughly 1.5 trillion kilowatt-hours of electricity by 2035, alongside a 100-fold rise in data traffic and a 500-fold rise in AI storage demand. But the same report undercuts the simple version of the ceiling argument, and this is the honest part. It also forecasts global computing capacity rising 100,000-fold by 2035, and solar and wind supplying more than half of all electricity generation. If both halves land, energy is not a wall so much as a bill someone has to pay — and the question shifts from can we power this to who can afford to, and who gets left outside. For a country like Sri Lanka, that second question is the whole game. Beyond von Neumann. The architecture nearly every computer has used since the 1940s — memory here, processor there, data shuttling between them — is where a large share of AI's energy actually goes. Huawei's argument is that the industry gradually phases it out in favour of new computing paradigms, a "post-Moore" era depending on breakthroughs in semiconductor materials and processes. Take the timing with salt. But the underlying pressure is real and observable today: we are pushing an eighty-year-old design well past what it was built for. The agentic Internet. Huawei's most striking figure: nine billion people connected to 900 billion AI agents by 2035 — roughly a hundred agents each, negotiating, transacting, and coordinating largely with one another rather than with us. This is the same idea as autonomous AI economies, at a scale that changes what the internet is for. Today's network was built to move pages to people. That one is built to move intent between machines. The block is not capability — agents can already negotiate and transact. It is liability. The unresolved question is not whether an agent can sign a contract; it is who is accountable when it signs a bad one. Until that has an answer in law, this stays a demo, and no infrastructure forecast changes that. Going physical, and the end of the keyboard. Huawei's framing is that AI must become embodied to progress — that intelligence which only reads and writes text is missing the feedback loop of acting in a real environment and being corrected by it. Whether or not that is the path to general intelligence, embodied and embedded AI is the most probable item here: low-power neural compute built natively into materials, sensors, and robotics is an engineering trajectory already underway, not a discovery waiting to happen. Direct brain–computer interfaces sit further out — clinical work in speech and motor restoration is real and progressing, but general consumer deployment on a ten-year horizon remains speculative. Open weights versus the gated frontier. This one is not on Huawei's list, and it may matter more than anything that is. The Fable 5 / Mythos 5 split was the first clear case of a model deliberately released at two levels of restraint — and in the same season, two of the largest models ever built were published for anyone to download. Those facts point in opposite directions. One says the most capable systems should be held carefully and released selectively; the other says capability at that scale is already loose in the world and cannot be recalled. Both are true at once. Through the early 2030s this is less a technical problem than a legal and political one, settled by legislatures and treaties rather than by researchers. And the part that should interest a student most. Huawei expects software itself to change shape — programs that are no longer only code, but code plus neural models plus agents, rewritten by humans and AI together. It projects AI adopted by 85% of companies by 2035. Strip out the vendor optimism and a modest version still stands: the person who can direct, verify, and correct these systems is doing the work; the person who can only operate yesterday's tools is not. Anyone offering you confident detail about 2035 is guessing, and that includes both Huawei and this section. The useful posture is not prediction — it is preparation. ## What the curve actually asks of you Read the eight years as one line and a pattern emerges. Capability keeps getting cheaper. Judgment does not. The World Economic Forum's Future of Jobs Report 2025 — surveying over 1,000 employers representing more than 14 million workers across 55 economies — found that AI and big data top the list of fastest-growing skills, with around 90% of employers expecting demand to rise by 2030. Employers expect 39% of workers' core skills to change over the 2025–2030 window. The report projects 170 million new roles created against 92 million displaced by 2030 — a net gain, and a churn that touches almost everyone in between. That is not a story about machines replacing people. It is a story about the gap between two people using the same tool. One student asks an AI for the answer, copies it, and submits it. The other asks it to explain why their own attempt failed, works the problem again, and gets it right unassisted the second time. Both used the same model. Only one of them learned anything. Over five years, that gap compounds into something that no longer looks like a gap in tools — it looks like a gap in ability, because by then it is one. The technology is not the differentiator. It is available to everyone, in most cases for free. The differentiator is whether you use it as a shortcut past the thinking, or as a system that makes the thinking sharper. That distinction is learnable. And as of 2026, it finally has a name and a syllabus. ## The world just wrote this down For most of the eight years this article covers, "AI literacy" was a phrase without a definition. That changed in the space of a year, and it is worth knowing that the work has been done — because it means nobody has to invent it from scratch. The US Department of Labor published a national AI Literacy Framework in February 2026, defining it as "a foundational set of competencies that enable individuals to use and evaluate AI technologies responsibly." It names five content areas: - Understand AI principles — core concepts, capabilities, and limitations. - Explore AI uses — what the tools do, and how they complement human expertise. - Direct AI effectively — how to prompt and give context to get useful output. - Evaluate AI outputs — assess what comes back for accuracy and relevance. - Use AI responsibly — ethics, protecting information, accountability for outcomes. The framework is voluntary. It imposes nothing on anyone. It is simply the clearest public statement yet of what a person needs to know. The European Commission and the OECD went at the same problem from the schooling side with the AILit Framework, built for primary and secondary education and refined through consultation with more than 2,000 stakeholders. Its structure is a progression of four domains — Engage with AI → Create with AI → Manage AI → Shape AI — each combining knowledge, skills, and attitudes. Read those two lists again and notice something. Almost everything in them is judgment. Evaluate the output. Understand the limitations. Take accountability. Only one item out of nine is about operating the tool at all. The institutions arrived, independently and from opposite directions, at exactly the conclusion this timeline points to: the machine is not the hard part. So the gap is no longer definition. It is delivery — and language. Both of these frameworks are written in English, for education and workforce systems that already function. That is not a criticism; it is a description of who they were built for. But a student in Anuradhapura or Jaffna cannot use a competency framework they cannot read, and no amount of authority behind a document closes that distance on its own. ## Where to start If you are a student — or a parent of one — the practical implication of this entire timeline is narrow and actionable: understanding how these systems work, and how to use them without outsourcing your own reasoning, is now a foundational skill rather than a specialist one. The frameworks above say so plainly. This is the work Idasara Academy exists to do, and it is worth being precise about what that means. We do not compete with those global programs. We carry them. The standards have been set by people better resourced than us to set them, and re-inventing that would be vanity. Our job is the part they cannot do from Washington or Brussels: bring that knowledge into the local domain, in the language the student actually thinks in, and get it to every part of the country rather than the parts that were already fine. If you are a student, start with DigiReady. It is free, it is five lessons, and it exists in Sinhala and Tamil as well as English. Two of those lessons are, almost line for line, the two competencies both frameworks put at the centre: - Stop Asking AI for Answers — Start Asking It to Teach You — give the AI your subject, your level, what you already tried, and exactly what confuses you; then ask for the method rather than the answer. (Direct AI effectively.) - When the Robot Sounds Sure but Gets It Wrong — why a hallucination sounds calm and confident, and how to cross-check a formula, a date, or a source before you trust it. (Evaluate AI outputs.) That second lesson ends on a sentence that could serve as the summary of this entire article: never outsource the judgement you will need alone in the exam hall. The other three cover the ground underneath — reading any app screen, keeping your accounts and data safe, and controlling your own device. No prior technical background is assumed, because assuming it is how you exclude the people who most need the thing. If you are already working, the equivalent is AI Aptitude — practical automation of real HR, finance, and operations tasks, part of the six-pillar OWN YOUR FUTURE roadmap (Digital Literacy · AI · Employability · Financial Literacy · Financial Independence · Entrepreneurship), which opens with a free diagnostic. All of it runs on the same principle as everything else we build: the student learns to test a claim rather than swallow it. And the trilingual part is not a feature line. For a great many Sri Lankan students it is the entire difference between this being available and this being theoretical — and it is the reason a global framework needs a local carrier at all. If you want the bigger why — the belief that empowerment is a right, not a privilege — it lives at idasara.org. The models will keep improving whether or not you learn them. The question is only which side of the gap you are standing on when they do. ## At a glance The Gen AI evolutionary journey runs from a 2017 research paper to a 2026 production reality, in six phases: - 2017–2021 — Origins. Google's Transformer architecture ("Attention Is All You Need") makes scale possible. GPT-1 through GPT-3 and early diffusion models follow. Almost none of it reaches the public. - November 2022 — The mainstream boom. ChatGPT's launch changes distribution, not invention. UBS/Similarweb estimated ~100 million monthly users in about two months; Threads broke that record in five days by July 2023. - 2023–2024 — The frontier race. Anthropic's Claude 3 / 3.5 Sonnet set the reasoning-and-coding reference standard; DeepSeek-V3 and R1 collapse the assumed cost of frontier reasoning and release open weights. - 2025 — The systems shift. The unit of work stops being the prompt. Agentic loops (perceive → reason → execute → verify → refine) and graph-structured retrieval (GraphRAG) arrive. Neither eliminates hallucination. - Mid-2026 — The frontier splits. In eight weeks: Claude Fable 5 and Mythos 5 ship as one model at two levels of restraint (Mythos 5 restricted to vetted government and enterprise partners); Moonshot's Kimi K3 (2.8 trillion parameters) and Alibaba's Qwen3.8-Max (2.4 trillion) publish their weights openly. Frontier-class capability at roughly 70% lower cost — or free to download. - 2026–2030 — Embodied systems and digital twins. Agents are in production but unevenly: ~86% of surveyed organisations deploy coding agents, yet integration, data quality, and change management — not model capability — are the named blockers. Gartner expects >40% of agentic projects cancelled by end-2027. - 2031–2035 — Horizon (projection, not fact). Read against Huawei's Intelligent World 2035 forecast — a useful, quantified, and openly commercially-interested view. Energy and compute as the binding constraint (data centres at ~1.5 trillion kWh) versus the counter-case that supply scales too (computing capacity up 100,000-fold, renewables past 50%); the "agentic Internet" of 900 billion agents serving 9 billion people, blocked by liability law rather than capability; the slow phase-out of von Neumann architecture; embodied AI as the probable next step; and — not on Huawei's list — open weights versus the gated frontier as a question for legislatures. The through-line: capability keeps getting cheaper, judgment does not. The WEF expects 39% of workers' core skills to change by 2030. The differentiator is not access to AI — it is whether you use it as a shortcut past the thinking or as a system that sharpens it. And it now has a syllabus. In 2026 the US Department of Labor published a national AI Literacy Framework (understand AI principles · explore AI uses · direct AI effectively · evaluate AI outputs · use AI responsibly), and the European Commission and OECD released the AILit Framework for schools (Engage → Create → Manage → Shape AI). Almost every competency in both is judgment rather than tool operation. The remaining gap is not definition — it is delivery, and language: both frameworks are published in English, for systems that already work. ## FAQ When did generative AI actually start? June 2017, with the publication of "Attention Is All You Need," which introduced the Transformer architecture. Public awareness arrived five and a half years later with ChatGPT in November 2022. The breakthrough and the adoption were separate events roughly five years apart — which is the single most useful thing to know about how this technology spreads. Was ChatGPT really the fastest-growing app in history? It was, briefly, on third-party estimates. A UBS note in early February 2023, using Similarweb traffic data, put ChatGPT at roughly 100 million monthly active users about two months after launch — faster than TikTok (nine months) or Instagram (two and a half years). Two caveats: those were traffic-analytics estimates, not audited OpenAI figures; and Instagram's Threads beat the record in July 2023 by reaching 100 million users in five days. Why did DeepSeek matter so much? DeepSeek-V3 (December 2024) and DeepSeek-R1 (January 2025) showed that frontier-level reasoning did not require hundreds of millions of dollars, and released the weights openly. The widely quoted US$5.6 million covers only V3's final training run — not research, failed runs, data, or staff. R1's later peer-reviewed Nature paper disclosed about US$294,000 for the reinforcement-learning stage on top of that base model. The exact numbers are contested; the direction is not. Does GraphRAG or a knowledge graph stop AI from hallucinating? No. Graph-structured retrieval measurably reduces unsupported answers on multi-hop questions and makes the reasoning path auditable, which is genuinely valuable. It does not make a language model incapable of being confidently wrong. Any vendor promising zero hallucination is selling something. What happened to AI models in mid-2026? The frontier split along a new line — not who was ahead, but who is allowed to hold the technology. In June 2026 Anthropic released Claude Fable 5 and Claude Mythos 5: the same underlying model at two levels of restraint, with Mythos 5 restricted to vetted government and enterprise partners rather than sold openly. Weeks later, two of the largest models ever built went the opposite way — Moonshot AI's Kimi K3 (2.8 trillion parameters) and Alibaba's Qwen3.8-Max (2.4 trillion) both published their weights for public download. Both directions are now real at once. Is an open model like Kimi K3 as good as a closed one like Claude Fable 5? Not across the board, and be sceptical of anyone who says otherwise — including the model makers, whose benchmark tables are usually their own internal runs. On independent head-to-head comparisons Fable 5 still wins the majority of shared coding evaluations. What the open models genuinely changed is price: Kimi K3 lists at roughly 70% less per token for work in the same league, and the weights themselves are free to download. Capability got dramatically cheaper without the leader changing. Is agentic AI actually working in businesses in 2026? Unevenly. Anthropic's 2026 survey of 500+ technical leaders found 86% deploying agents for production code and eight in ten reporting measurable return. Forrester's read is blunter: around three-quarters say they are adopting agentic AI, but only a minority have anything meaningful in production. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027. The blockers are integration, data quality, and change management — not model capability. What will AI look like in 2035? Nobody knows, and anyone giving you confident detail is guessing. The most quantified public attempt is Huawei's Intelligent World 2035 forecast, which projects 9 billion people connected to some 900 billion AI agents, computing capacity up 100,000-fold, global data centres drawing around 1.5 trillion kilowatt-hours, and AI adopted by 85% of companies. Read those numbers knowing Huawei sells networking, compute, storage, and energy infrastructure — every trend it forecasts implies demand for its own products. The direction is informed; the magnitudes are a position, not a measurement. What is safe to say is narrower: energy and compute become the real constraint, agent-to-agent activity is limited by liability law rather than capability, and the ability to direct and verify these systems becomes the thing that separates people. Is there an official definition of AI literacy? Yes — two, published within a year of each other, and they agree more than they differ. The US Department of Labor released a national AI Literacy Framework in February 2026 built on five content areas: understand AI principles, explore AI uses, direct AI effectively, evaluate AI outputs, and use AI responsibly. The European Commission and the OECD released the AILit Framework for primary and secondary schools, structured as a four-domain progression — Engage with AI, Create with AI, Manage AI, Shape AI. What stands out in both is how little of it is about operating the software. Almost every competency is judgment: assessing output, understanding limitations, taking accountability. If the frameworks already exist, what is missing? Delivery, and language. Both frameworks are published in English and written for education and workforce systems that already function — which is entirely reasonable given who built them, but it leaves a student who does not read English with an authoritative document they cannot use. That is the gap Idasara Academy is built to close: not by writing a competing Sri Lankan framework, but by carrying the established global standards into Sinhala and Tamil and out across the country. Augment, not replace. Where can a Sri Lankan student actually learn this, for free? Idasara DigiReady is a free five-lesson digital-literacy program available in English, Sinhala, and Tamil. Two lessons map directly onto the competencies the international frameworks put at the core: how to prompt an AI tutor so it teaches you rather than answering for you, and how to spot when AI is confidently wrong. The other three cover reading any app screen, account and data safety, and controlling your own device. For working adults, the equivalent is AI Aptitude within the Own Your Future roadmap. What should a student learn from all this? That the tool is not the differentiator, because everyone has it. The differentiator is whether you use AI as a shortcut past the thinking or as a system that makes the thinking sharper. One student asks for the answer and copies it; another asks why their own attempt failed and then solves it unassisted. Same model, opposite outcomes — and over five years the gap in tools becomes a gap in ability. ## The evidence behind this piece - The Transformer architecture — Vaswani, A. et al., Attention Is All You Need, NeurIPS 2017. The self-attention design that everything since is downstream of. arxiv.org/abs/1706.03762 - ChatGPT reached ~100 million monthly active users in about two months — UBS analysis citing Similarweb data; UBS analysts said they could "not recall a faster ramp in a consumer internet app" in 20 years covering the sector. Third-party estimate, not an audited OpenAI figure. Reuters, 1 Feb 2023. reuters.com - Threads passed 100 million users in five days, superseding ChatGPT's record within months. TechCrunch, 10 Jul 2023. techcrunch.com - Claude 3 (Mar 2024) and Claude 3.5 Sonnet (Jun 2024) — the reasoning/coding reference generation of this window. Anthropic model announcements. anthropic.com/news/claude-3-family · anthropic.com/news/claude-3-5-sonnet - DeepSeek-V3: 671B total parameters, ~37B activated per token, 14.8T training tokens, 2.788M H800 GPU-hours — the disclosed figures for the final training run only. DeepSeek-AI, Dec 2024. arxiv.org/abs/2412.19437 - DeepSeek-R1: large-scale RL for reasoning, open weights — DeepSeek-AI, Jan 2025. arxiv.org/abs/2501.12948 - R1 peer-reviewed in Nature (Sept 2025), with the reinforcement-learning stage costed at roughly US$294,000 on top of the base model — the first major LLM to clear peer review. nature.com - Independent cost analysis of the DeepSeek numbers — Epoch AI, What went into training DeepSeek-R1? Useful for why the headline figures are contested. epoch.ai - GraphRAG — Edge, D. et al., From Local to Global: A Graph RAG Approach to Query-Focused Summarization, Microsoft Research, 2024. Reduces unsupported multi-hop answers; does not eliminate hallucination. arxiv.org/abs/2404.16130 - Claude Fable 5 and Claude Mythos 5 (9 Jun 2026) — one underlying model at two levels of restraint. Fable 5's classifiers cover cybersecurity exploitation, dual-use biology/chemistry, and capability-extraction attempts, routing those sessions to a smaller model rather than refusing; Anthropic states more than 95% of Fable sessions involve no fallback at all. Mythos 5 has those safeguards removed and is limited to Project Glasswing (a US government collaboration) and trusted partners — no public API. Both priced at $10 / $50 per million input / output tokens. anthropic.com · platform.claude.com - Kimi K3 — 2.8 trillion parameters, 1M-token context, 16 of 896 experts routed per token; API 16 Jul 2026, open weights late Jul 2026 — the largest open-weight model released to that date. Moonshot AI, via Tom's Hardware. tomshardware.com - Qwen3.8-Max — 2.4 trillion total parameters, ~95 billion active per request, weights published openly (announced 3 Aug 2026) — the first model in Alibaba's Max class to have its weights released. ⚠️ The accompanying benchmark table is Alibaba's own internal runs; the source notes independent verification was still pending. the-decoder.com - Kimi K3 vs Claude Fable 5, independent head-to-head — Fable 5 takes the majority of shared coding evaluations; K3 leads the long-horizon agentic evals and lists at roughly 70% lower cost per token ($3 / $15 vs $10 / $50 per million). Used here for the "cheaper, not better across the board" claim. llm-stats.com - 86% of organisations deploy agents for production code; 57% run multi-step workflows; ~8 in 10 report measurable ROI; top blockers are integration (46%), data quality (42%), change management (39%) — Anthropic, The 2026 State of AI Agents Report, survey of 500+ technical leaders. claude.com - Adoption claims outrun production reality — "companies are chasing, few are catching": most agentic deployments remain chatbots with ambitions. Forrester, The State Of Agentic AI In 2026. forrester.com - More than 40% of agentic AI projects will be cancelled by end-2027 — citing escalating costs, unclear business value, and inadequate risk controls. Gartner press release, 25 Jun 2025. gartner.com - Intelligent World 2035 — the 2035 projections — 9 billion people connected to 900 billion AI agents ("agentic Internet"); global computing capacity up 100,000-fold; data traffic up 100-fold; AI storage demand up 500-fold, eventually >70% of all storage; global data centres consuming ~1.5 trillion kWh by 2035; solar and wind supplying >50% of electricity generation; AI adopted by 85% of companies, lifting productivity ~60%; the gradual phase-out of von Neumann architecture. ⚠️ This is a vendor forecast, and every trend implies demand for products Huawei sells (networking, compute, storage, energy infrastructure). Cited as an informed industry position, explicitly not as a neutral measurement. Huawei Global Industry Vision, published 16 Sep 2025. huawei.com/en/giv · press release - AI literacy defined for the US workforce — five foundational content areas (understand AI principles · explore AI uses · direct AI effectively · evaluate AI outputs · use AI responsibly) plus seven delivery principles. Defines AI literacy as "a foundational set of competencies that enable individuals to use and evaluate AI technologies responsibly." Voluntary; imposes no regulatory requirement. US Department of Labor, Employment and Training Administration, Training and Employment Notice 07-25, 13 Feb 2026. dol.gov · full notice (PDF) - AI literacy for schools — the four-domain progression Engage with AI → Create with AI → Manage AI → Shape AI, each combining knowledge, skills, and attitudes; for primary and secondary education, refined through consultation with 2,000+ stakeholders. A joint European Commission / OECD initiative. Published in English. ailiteracyframework.org - AI and big data are the fastest-growing skills; 39% of workers' core skills change by 2030; 170 million roles created against 92 million displaced — surveying 1,000+ employers representing 14m+ workers across 55 economies. World Economic Forum, Future of Jobs Report 2025 (Jan 2025). weforum.org © Idasara Digital (Pvt) Ltd ### Students — DigiReady DigiReady is free, five lessons, and available in English, Sinhala and Tamil. Two of its lessons map directly onto the competencies both international frameworks put at the centre. Start DigiReady free ### Working adults — AI Aptitude AI Aptitude covers practical automation of real HR, finance and operations tasks, inside the six-pillar Own Your Future roadmap. Explore AI Aptitude Opens with a free maturity diagnostic Ready to start learning? Create a free account --- Published 2026-08-31 · updated 2026-08-31 Also in: සිංහල · தமிழ் # Learn to Learn — ඉගෙන ගන්න හැටි ඉගෙන ගන්න A free book of short chapters on how learning actually works — written for Sri Lankan students facing O/L and A/L, and for the parents and teachers beside them. Every chapter solves one real studying problem, tonight, with a pen, paper, and your textbook. Read it in order like a book, or jump straight to the chapter that names your problem. Nobody teaches you how to learn. School teaches you subjects — nine of them at O/L, three deep ones at A/L. Tuition teaches you the subjects again. But the skill underneath all of it — how to read so it stays, how to take a note that teaches you, how to know whether you're actually ready, how to climb from an S to an A — that skill is left to luck. And so thousands of hard-working students study late into the night with methods that quietly don't work, and conclude something false and cruel: "maybe I'm just not clever enough." This book exists to end that conclusion. Its claim, defended chapter by chapter with a century of learning science: grades are made by method, not talent — and method can be learned. The students you call "naturally bright" are, almost always, students running better methods. This book hands you those methods, one short chapter at a time. The journey runs in four movements. First, why learning feels hard — the traps built into every brain (familiar isn't known; most of today is forgotten by tomorrow) and the honest way out. Then the core skills of the daily loop: read properly, write notes that actually teach you, and ask — teachers, friends, and AI — in the way that gets real answers. Then the system around the skills: plan the syllabus so nothing is left uncovered, and prove it on paper — exercises, past papers, honest marking, and the mistake-hunting that manufactures an A. Finally, time and beyond: the schedule that survives a whole year, and why everything you build here — deep reading, clear writing, sharp asking — is exactly the skill the AI-age working world pays for, long after the exams end. Every chapter stands alone, ends with a "do this tonight," works without any app, and links to the full Idasara Method for deeper reading. New chapters land regularly — save this page. ## Where to start - New to the book? Start with the first three chapters of Part 1, in order — then run Your First 7 Days, the one-week starter that assembles the whole method. - Exam in a few months? Go straight to The Grade Progression Ladder, then past-paper volume, the Mistake Bank, what "exam ready" means, and the exam day playbook — with exam nerves and cramming vs consistency before you plan a single all-nighter. - A parent? Start with How to Help Without Hovering and "I Never See You Studying", then what "exam ready" actually means, no app can learn for your child, and — when you're weighing the spend — what it costs and the phone question. - A teacher? Start with What a Prepared Class Makes Possible and flipped learning. - Met a term you don't know? The Glossary defines every tool this book names — Me Time, the Mistake Bank, the figure walk, and the rest — in one paragraph each. ## Download the book — free The whole book in four volumes — free PDFs, no signup needed. Book 1 of 4 ### The Foundations 124 pages · PDF · 5.7 MB Download PDF (5.7 MB) Book 2 of 4 ### The System 128 pages · PDF · 6.5 MB Download PDF (6.5 MB) Book 3 of 4 ### The Exam 133 pages · PDF · 7.0 MB Download PDF (7.0 MB) Book 4 of 4 ### Hard Mode & the Household 126 pages · PDF · 5.9 MB Download PDF (5.9 MB) ## Part 1 — Why Learning Feels Hard The traps every brain ships with — and why your effort was never the problem. - Working Hard Isn't Working — and It's Not Your Fault — Why do I study all night and still panic in the exam? - Me Time: The Hours That Decide Everything — Why do the hours alone with a subject matter more than any class? - Clear While Reading, Blank While Writing: The Illusion of Competence — Why does the chapter feel clear but the blank page feel impossible? - Why Highlighting Doesn't Work — Why doesn't my rainbow-coloured textbook turn into marks? - You Lose Most of Today's Studying by Tomorrow — Why can't I remember what I studied three weeks ago? - Grades Are a Ladder, Not a Lottery — Is an A pass talent, or a method anyone can run? - No App Can Learn For You (Including Ours) — Will downloading an app fix my grades? - Your First 7 Days — How do I actually start — without trying to change everything on one Monday? - Motivation That Survives Monday — Why is motivation an output, not a fuel — and what's the machine? - Study Groups That Actually Work — Why do groups fail at learning and shine at testing? - "Everyone Is Better Than Me" — What do ranks actually measure — and which race are you really in? - Subjects You Hate — Why is boredom usually difficulty in disguise — and how is interest built? ## Part 2 — Read Where the marks actually come from, and how to read so it stays. - Why You Must Read the Textbook — Where do exam questions actually come from? - Read, Then Read Fast — Why does reading speed decide marks — and why is "speed reading" the wrong answer? - Read Even If You Don't Understand — Should I stop when a paragraph makes no sense? - The Question Log — What do I do with "I just don't get it"? - Read the Verb Before You Write a Word — Why did I lose marks on a question I knew? - Studying in a Language You Don't Think In — How do I learn hard subjects in a language that isn't mine yet? ## Part 3 — Write Notes that teach you, and the hand that sits the exam. - Why You Must Take Your Own Short Notes — Why can't I just study from my friend's notes? - How to Take a Good Short Note — What does a note that actually works look like? - How Mind Maps Make Your Short Notes Better — When does a map beat a list? - Study in Pictures — Why does one drawn diagram outlast a page of sentences? - The Figure Walk — How do I refresh a whole chapter in fifteen minutes? - Why Clear Handwriting Matters — Does handwriting really change my marks? - Write Fast, Yet Clear — How do I finish a three-hour paper without my hand giving up? - Pen Beats Keyboard: What Brain Science Says — Why handwrite when I can type? - The Red-Ink Audit — How do I know my notes aren't confidently wrong? - How to Memorise Dates, Formulas and Vocabulary — Why won't the fact-lists stay in, and what actually works? ## Part 4 — Ask Getting real answers — from teachers, friends, and AI — without renting your knowledge. - How to Ask a Good Question — Why do vague questions get useless answers, from teachers and AI alike? - AI Is a Tutor, Not an Answer Machine — Is using AI to study cheating? - The Exam Hall Has No Wi-Fi — Why does AI help vanish in a paper-based exam? - Before You Trust Any AI With Your Exam — Why not just use free ChatGPT? - One Hour, Two Skills: Prompt Packs — Can exam revision teach a career skill at the same time? - The Skill Employers Will Pay For — What does tonight's studying have to do with my future job? ## Part 5 — Plan The syllabus as a contract — so no gap survives to the exam unseen. - The Syllabus Is a Contract — How do I know I'll finish the syllabus in time? - Term 1 Debt Is the Most Expensive Debt — Why do this term's lessons feel impossible? (Hint: it's an old gap talking.) - What Is Time Management, Really? — Is it about studying more hours? - Flipped Learning: Hear the Lesson Second — Why do toppers already know the lesson before class? - The Night Before Class: Read, Question, Ask — What 20-minute ritual makes tomorrow's lesson worth double? - Your School May Be Behind. The Paper Doesn't Care. — What if my class never reaches a section? ## Part 6 — Practice & Prove Where coverage becomes a grade: exercises, papers, honest marking, and mistake-hunting. - End-of-Chapter Exercises, First, On Paper — What's the minimum practice that secures a pass? - An Answer Is Worth Nothing Until Something Marks It Honestly — How do I know what an examiner would give me? - The Grade Progression Ladder: C to B to A — What exactly do I do to move up one grade? (The book's operational heart.) - Why 10 (or 20) Past Papers Is the Real Number — How many past papers are "enough"? - Your Mistakes Are Your Syllabus — What should I revise tonight, specifically? - Method Marks vs Accuracy Marks — Why did a correct answer get 2 out of 5? - What "Exam Ready" Actually Means — How do I stop feeling ready and start knowing? - Exam Nerves: What They Are, and What Actually Calms Them — Why does my mind go blank — and what genuinely helps? - The Exam Day Playbook — From the night before to the final ten minutes: how do I run the day itself? - The Bad Term Test: The 48-Hour Bounce — How does a bad mark become the year's best data purchase? - Building Your Past-Paper Library — Where do papers and schemes actually come from — and how does a pile become a system? - The Exam-Year Map — Every month has one job: the whole book, on one calendar. (The capstone.) ## Part 7 — Time The schedule that survives a whole year — and the weakest-subject arithmetic nobody warned you about. - The Pomodoro Technique — Why do 25 focused minutes beat 4 distracted hours? - Pair a Hard Subject With an Easy One — Why does one hard subject wreck my whole evening? - Your Hardest Subject Deserves Your Best Hour — When should I study what? - Nine Subjects Without Panic — How does an O/L student keep everything moving at once? - Deep Work for A/L: The 90-Minute Block — Why can't I finish the long questions? - The Z-Score: Your Weakest Subject Decides Your Seat — Why can't I just be brilliant at my best subject? - Cramming vs Consistency — Can the last month save the year? - Beating the Phone — You're not weak — you're out-engineered. Here's the counter-design. - Sleep: The Unfair Advantage — Why is sleep when studying gets kept — and what's the teen number? ## Part 8 — Beyond the Exam What all of this was really building — for students, parents, and teachers. - The Repeat Year: How to Do It Right — and How to Know If You Should — The results sheet disappointed. Now what? - Learning to Learn: The Skill That Outlasts Every Exam — What survives after O/L and A/L are over? - For Parents: How to Help Without Hovering — How do I support my child without adding pressure? - "I Never See You Studying" — The blame cycle that breaks students — and the visibility that ends it. (Students: send this one home.) - For Parents: What It Costs, What It Replaces, and the Phone Question — The payer's three questions, answered plainly. - The O/L-Year Parent Playbook — The year has seasons; your job changes with them. - Parenting an A/L Student — The job inverts: logistics and load-bearing, not supervision. - Parenting From Abroad — The exam year across an ocean — on instruments, not guilt. - Results Day at Home — The 24 hours families are quoted on for decades: rehearse them. - The Family Education Budget — Rupees follow diagnosis — plus the predator checklist. - Money Skills for Students — The study engine, pointed at rupees. - Find Your Mentor — One consenting adult changes a study year — and the ask that gets a yes. - For Teachers: What a Prepared Class Makes Possible — What changes when students arrive already knowing the basics? - Reading and Writing in the AI Age — Will these "old" skills still matter in my child's career? ## Part 9 — Subject Playbooks How to study each subject family — the method per subject, never the content. - How to Study O/L Maths (and stop fearing it) — Why doesn't watching solutions work — and which doors does maths guard? - How to Study Science — Where do Science marks actually hide? - How to Study O/L English — Why can't grammar books fill the essay box? - How to Study History, Civics & Essay Subjects — Why do both the memoriser and the storyteller score C? - How to Study the A/L Science Stream — What weekly architecture keeps three deep subjects alive? - How to Study A/L Commerce & Arts — What kind of subject are you actually holding? ## Part 10 — Choosing Your Path The decisions after each results sheet — made by evidence, not by neighbours. - After O/L: Choosing Your Stream — Which stream — decided by evidence, gates, and destination, in that order? - Choosing Your A/L Combination — Which doors does your keyring silently lock? - Choosing Your O/L Electives — The Friday form that's really a three-year fork. - After A/L: The University Question, Honestly — What are the five doors — and what are the waiting months for? - Pick the Career, Then Walk Backwards — Why does destination-first beat prestige-forward? - The NVQ Road: A Real Path, Fully Mapped — Seven levels to a state degree — why does nobody tell families this? - Scholarships and Funding — Why does the money go to systematic applicants? - Earn While You Learn — How does working inside a path beat working instead of one? ## Part 11 — Hard Mode For access-constrained homes and comeback students — studying with less, starting from behind. The book's heart. Access - Studying on Little Data and Weak Signal — Why is the method offline-first, and how does the weekly supply-run work? - No Quiet Room: Studying in a Full House — How is quiet manufactured from time, place, and negotiation? - No Tuition in My Area: The Self-Study Year — How are tuition's three services rebuilt from reachable parts? - The Free Education Stack — What does the zero-rupee student actually have? (Everything that matters.) - Studying While Working or Caring — The broken-day method: fragments, anchors, and the negotiated floor. - One Phone, Whole Family — How does a timetable end the nightly fight over the shared device? The Comeback - Starting From S and F: The Comeback Protocol — Why do comebacks start below the syllabus — and how fast is the road back? - Maths From Zero — For the student who was "never a maths person" (no such gene exists). - If Reading Itself Is Slow — The on-ramp for the skill hiding inside every other struggle. - The First 30 Days of a Turnaround — Why the midnight vow fails, and how momentum is actually engineered. - Six Months Left: The Honest Rescue — The triage order that buys marks by price. ## About this book Learn to Learn is published free by Idasara Academy, in English, Sinhala, and Tamil. It is the student-facing companion to the Idasara Method — the full scientific framework behind these chapters: Part 1 — The Human Foundation · Part 2 — The Plan · Part 3 — The Papers · Part 4 — Time. Every claim in these chapters is grounded in published learning science — sources are cited at the end of each chapter. Every method works with a pen, paper, and the official textbooks. The Idasara Academy app exists to make the method a daily habit; the method itself is yours, free, starting tonight. ## FAQ Do I need to read the chapters in order? No — every chapter stands alone and tells you where it connects. In-order reading gives the full arc (traps → skills → system → time → life); problem-first reading works just as well. Most readers do both: one pass by problem, one by order. Is this only for O/L and A/L students? The examples are Sri Lankan national exams, because that's who we serve first — but the methods (retrieval, spacing, honest feedback, error elimination) are universal learning science. Grade 6 to university, the engine is the same. Is the book really free? What's the catch? The book: free, all of it, in all three languages — because the method working is the best introduction to what we build. The app: free to start, and the full engine costs from Rs 3,000 a month — about the price of one tuition class, but covering all subjects together, not one. It works fully in Sinhala, Tamil and English, at academy.idasara.org. Each chapter ends with one optional step in it; no chapter ever depends on it. How often do new chapters appear? The book grows in waves — follow Idasara Academy's channels or check this shelf. The full map is above; chapters go live wave by wave, so a title without a link is simply still coming. --- A chapter of the free book Learn to Learn Published 2026-08-31 · updated 2026-08-31 Also in: සිංහල · தமிழ் # Glossary: Every Term This Book Coins, in One Paragraph Each The book Learn to Learn names its tools so families can talk about them — "did you do your Me Time?" beats a lecture. This page defines every coined term in one paragraph, with a link to the chapter that teaches it. If you arrived here from a search or an AI answer, each definition stands alone. ### The illusion of competence The brain's habit of mistaking recognition for knowledge: a chapter feels clear while you're reading it, because you recognise every sentence — and goes blank when you must write it, because recognising is not producing. It is the single most expensive trap in studying, and the reason this book tests everything on paper. Taught in The Illusion of Competence. ### The loop (the daily loop) The book's core study cycle, run on every topic: read the textbook section actively → write a short note from memory → check it against the book in red ink → turn what refused to stick into questions → retrieve it again on a schedule. Every other tool in the book is a part of this loop, grown to full size. Introduced across Parts 1–3, assembled in Your First 7 Days. ### Me Time The hours a student spends alone with a subject — reading, writing, solving, checking — as opposed to hours spent being taught (school, tuition, videos). The book's claim, backed by research on independent study: Me Time is where marks are actually made; teaching only supplies the material for it. Taught in Me Time. ### Delivery vs conversion The pair of ideas behind every tuition decision in this book. Delivery is knowledge arriving in your presence (a class, a video); conversion is you turning it into something you can produce cold. Classes deliver; only Me Time converts. A class is worth its fee only if you can reproduce its material afterwards — the conversion test. Taught in Me Time and applied to money in The Family Education Budget. ### The blank-page test The honest measuring instrument: close the book, take a blank page, and write everything you can produce on a topic — then compare with the book. The gap you see is your true position. Costs five minutes, no audience, and cannot be fooled. Introduced in The Illusion of Competence. ### Short note A half-page note written from memory after reading, in your own words, then corrected against the book — not a copy of the textbook and not a borrowed set. The act of producing it is the studying; the corrected page is a bonus. Taught in How to Take a Good Short Note. ### The red-ink audit Checking your own short note against the textbook and correcting every error and omission in red, so the page itself shows where your memory failed. The red ink is the feedback loop that stops notes from being confidently wrong. Taught in The Red-Ink Audit. ### The Question Log A running margin-list of precise written questions — never "I don't get it", always "why does X happen when Y?" — collected while studying and then spent on teachers, friends, or an AI tutor. A struck-through question is knowledge gained; the log converts confusion from a feeling into a to-do list. Taught in The Question Log. ### The Mistake Bank A notebook (or the app's automatic version) where every lost mark from every marked paper is recorded with its cause — didn't know, wrong method, careless slip, misread question. Worked weekly until entries close, it becomes a personal syllabus of exactly what to fix: your mistakes are your syllabus. Taught in Your Mistakes Are Your Syllabus. ### The syllabus contract (and the tracker) Treating the official syllabus as a signed contract listing everything the exam may ask, tracked topic-by-topic (finished / in progress / untouched) on a visible chart — because an uncovered topic caps your maximum mark before you enter the hall. Taught in The Syllabus Is a Contract. ### Term-1 debt The compounding cost of early-year topics left unlearned: because subjects build floor on floor, a gap from Term 1 makes every later lesson harder, and repaying it in exam season costs many times its original price. Repay gaps in the week you find them. Taught in Term 1 Debt. ### The grade ladder (the rungs) The book's claim that grades are built in a fixed order, not drawn in a lottery: textbook coverage + exercises buys the pass; add past-paper drills and the C becomes a B; add mistake-elimination and technique and the B becomes an A. Each rung has its own work. Taught in The Grade Progression Ladder. ### Method marks The marks examiners award for visible correct working — the setup, the substitution, the labelled steps — separately from the final answer. Schemes commonly pay several method marks per accuracy mark, which is why "show every step" is arithmetic, not fussiness. Taught in Method Marks vs Accuracy Marks. ### The 10-or-20-paper diet (and the paper library) The book's past-paper volume standard: roughly ten sat-and-marked full papers per subject for O/L, twenty for A/L priority subjects, each followed by an honest post-mortem — and the personally-built collection of papers and marking schemes that makes the diet possible. Taught in Why 10 (or 20) Past Papers and Building Your Past-Paper Library. ### The flip (and the night-before ritual) Meeting tomorrow's lesson before class — read once, note roughly, write your questions — so the classroom becomes your second meeting with the material: basics confirm instead of overwhelm, and your questions are ready. The nightly version is Read → Question → Ask. Taught in Flipped Learning and The Night Before Class. ### The figure walk A fifteen-minute chapter refresh using only the textbook's figures, charts, and tables: cover each caption, produce what the figure shows from memory, check, and pencil-mark the blanks. A revision technique, not first-time learning. Taught in The Figure Walk. ### The supply run The low-data household's weekly pattern: one bounded online session fetches everything the week needs (materials, syncs, AI answers to the week's question log), and the studying itself runs offline on paper. Signal-needing jobs wait for the run. Taught in Studying on Little Data. ### Never zero (and the minimum day) The habit-protection rule for bad days: the day's quota may shrink to its emergency floor — five minutes, one card-batch — but never to nothing, because streaks live on continuity, not volume. Its partner rule: miss one day, never two. Taught in The First 30 Days. ### The comeback protocol (and the placement walk) The rebuild sequence for a student far behind: place honestly (walk back through earlier grades' work until you find the floor where you're solid), rebuild from that floor in short daily doses, and make the wins visible. The placement walk is the private, no-audience test that finds the true floor. Taught in Starting From S and F and Maths From Zero. ### Hard Mode The book's name for studying under real constraints — little data, no quiet room, no tuition nearby, a shared family phone, work or caring duties beside school. Part 11 redesigns the method for each constraint instead of pretending it away. Starts at Studying on Little Data. ### The doors-and-keys method The decision method for streams, combinations, and careers: list the doors (destinations) a choice leads to, the keys (results, subjects) each door demands, and choose with evidence from your own marked work — never by prestige rumour. Taught in Choosing Your Stream and Pick the Career, Then Walk Backwards. ### Process praise Parent language that praises the work and the method ("I saw the mistake list shrink — that fortnight of maths shows") instead of the person's talent or the grade. It builds students who try harder; verdict-praise builds students who hide. Taught in Help Without Hovering. ### The visibility deal (and the instruments) The household bargain that ends the "I never see you studying" fight: the student keeps honest, visible instruments — the tracker, the marked papers, the Mistake Bank, or the app's parent dashboard — and the parent retires doorway verdicts completely. Evidence replaces accusation in both directions. Taught in "I Never See You Studying". ### Position, not verdict The sentence the whole book keeps: any result — a mark, a rank, a bad term test, even a failed exam — is a position on a map with known roads out, never a verdict on the student. Positions get plans; verdicts get despair. Runs from The Bad Term Test to The Exam-Year Map. This glossary is part of Learn to Learn , the free study-methods book by Idasara Academy — 100 chapters for Sri Lankan O/L and A/L students, parents, and teachers, in English, Sinhala, and Tamil. --- O/L English · Grades 10 & 11 · Free # The paper has not changed in three years. Thirty-five marks are yours without writing a single sentence of your own. Here is the map of where those marks are, four short books that climb from a pass to an A, and every English paper since 2023 — all free to download. Find my starting book Download the papers No sign-up to download · Built from the 2023, 2024 and 2025 papers ## Where the 100 marks actually are Sixteen questions. But only six kinds of question, repeated every year. These numbers are counted from the 2023, 2024 and 2025 papers — not estimated. Skill familyTests MarksTaught in Word-box cloze 2, 3, 4, 11 22 Book 1 · Book 2 Read & answer 5, 15 13 Book 2 Matching 1, 13 10 Book 1 Read & choose 7, 9 10 Book 1 Grammar transformation 10, 12 10 Book 3 Production 6, 8, 14, 16 35 Book 1 · Book 2 · Book 3 · Book 4 ## Four books. One grade boundary each. You do not start at Book 1 because it is first. You start at the book that matches the mark you are getting now. Book 1 · below-S → S ### The Recognition Floor Thirty-five marks you can take without writing a sentence of your own. Six days, fifteen minutes a day. Gate 25 / 35 · 28 pages · PDF 3.5 MB Download free Book 2 · S → C ### The Credit Bridge The fifteen marks between a pass and a credit sit in three questions you are probably leaving half-blank. Gate 38 / 60 · 27 pages · PDF 3.2 MB Download free Book 3 · C → B ### Breaking the Cliff Only 9.56% of the country scores a B. The wall is production, and it has a shape. Gate 65 / 100 · 28 pages · PDF 2.7 MB Download free Book 4 · B → A ### The Distinction Crown From here the A is won by losing less, not by knowing more. Gate 75 / 100 · 29 pages · PDF 2.7 MB Download free ### Not sure where you are? One question. What did you score in English last term, out of 100? Under 35 → Book 1 35–49 → Book 2 50–64 → Book 3 65+ → Book 4 I don't know → free quiz ### Every book has a Teacher & Parent Guide Written so an adult with weak English can still mark the work. The guides are published in English, Sinhala and Tamil — the student writes in English, the adult marking it does not have to read it. English 1 · 22pp English 2 · 19pp English 3 · 20pp English 4 · 20pp සිංහල 1 · 24pp සිංහල 2 · 22pp සිංහල 3 · 20pp සිංහල 4 · 19pp தமிழ் 1 · 27pp தமிழ் 2 · 24pp தமிழ் 3 · 22pp தமிழ் 4 · 23pp ## Every paper since 2023 The real Department of Examinations papers, retypeset so they are readable on a phone. Plus a 2026 model paper we wrote ourselves — with the full marking scheme, which the official papers do not give you. - 2026 model — Paper 1 4pp · PDF · Idasara Academy - 2026 model — Paper 1 marking scheme 2pp · PDF · Idasara Academy - 2026 model — Paper 2 8pp · PDF · Idasara Academy - 2026 model — Paper 2 marking scheme 3pp · PDF · Idasara Academy All papers and marking schemes → ## Now get it marked. A book can tell you the answer. It cannot tell you why your answer lost three marks. That is the part a student cannot do alone — and it is the part the app does. #### Write it by hand Every activity in the books is meant to be written on paper, because that is what the examiner reads. #### Photograph the page Open Snap & Score in the app and take one photo of what you wrote. #### Marked like an examiner Mark by mark against the real scheme — with the sentence that would have earned the mark you missed. Free ### Ask about anything Five questions a day to the AI coach, in English, Sinhala or Tamil. Ask it in the language you think in. Start free Exam Ready · from Rs 4,500/mo ### Get your handwriting marked Photograph your handwritten answer and have it checked. Practice papers marked the way a real examiner marks them. See what's included Free ### Find out where you stand A short diagnostic that tells you which of the four books to start with, and which of the sixteen tests is costing you most. Take the free quiz ## Questions students actually ask How many marks do I need to pass O/L English?35 out of 100 is an Ordinary Pass (S). 65 marks on the paper are recognition questions — matching, choosing and filling word boxes — so the pass line is reachable without writing an original sentence. Is the O/L English paper the same every year?The structure was identical in 2023, 2024 and 2025: Paper I is 40 marks in eight five-mark tests, Paper II is 60 marks in eight more. Only Test 12 rotates — reported speech, conditionals and the passive. What is Test 11 and why do students lose marks on it?Test 11 is a seven-mark cloze with one spare word. Students treat it as a vocabulary question; it is a grammar question. The box is dominated by function words — had, before, was, he, they — so it tests cohesion, not word knowledge. Which Test 16 option should I choose?Take one of the options that carries bullet points. Three of the four give you the content to include; the story gives none, so it looks easier and marks harder. Can I get my English answers marked online in Sri Lanka?Yes — Idasara Academy's Snap & Score marks a photograph of your handwritten answer against the marking scheme. It is included from the Exam Ready plan. --- A/L Biology · Theory Notes # Biology Theory Notes Theory Notes for every A/L Biology topic · Aligned with the NIE syllabus Home/ Biology/ Theory Notes ## All Topics ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Chemical and Physical Basis of Life ### Diversity of Organisms ### Diversity of Organisms ### Diversity of Organisms ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Genetics ### Genetics ### Genetics ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Plant Form and Function ### Plant Form and Function ### Plant Form and Function ### The Cell ## Start learning Biology A/L Biology today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Biology · Revision # Biology Revision Revision for every A/L Biology topic · Aligned with the NIE syllabus Home/ Biology/ Revision ## All Topics ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Chemical and Physical Basis of Life ### Diversity of Organisms ### Diversity of Organisms ### Diversity of Organisms ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Genetics ### Genetics ### Genetics ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Plant Form and Function ### Plant Form and Function ### Plant Form and Function ### The Cell ## Start revising Biology A/L Biology today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Biology · Past Papers # Biology Past Papers Past Papers for every A/L Biology topic · Aligned with the NIE syllabus Home/ Biology/ Past Papers ## All Topics ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Chemical and Physical Basis of Life ### Diversity of Organisms ### Diversity of Organisms ### Diversity of Organisms ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Genetics ### Genetics ### Genetics ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Plant Form and Function ### Plant Form and Function ### Plant Form and Function ### The Cell ## Practise Biology A/L Biology questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Biology · Library # Biology Library Library for every A/L Biology topic · Aligned with the NIE syllabus Home/ Biology/ Library ## All Topics ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Animal Form and Function ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Applied Biology ### Chemical and Physical Basis of Life ### Diversity of Organisms ### Diversity of Organisms ### Diversity of Organisms ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Ecology ### Genetics ### Genetics ### Genetics ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Molecular Biology ### Plant Form and Function ### Plant Form and Function ### Plant Form and Function ### The Cell ## Explore Biology A/L Biology resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Chemistry · Theory Notes # Chemistry Theory Notes Theory Notes for every A/L Chemistry topic · Aligned with the NIE syllabus Home/ Chemistry/ Theory Notes ## All Topics ### Atomic Structure ### Basic Concepts of Organic Chemistry ### Chemical Calculations ### Chemical Equilibrium ### Chemistry of s, p, and d Block Elements ### Electrochemistry ### Energetics ### Gaseous State of Matter ### Hydrocarbons and Halohydrocarbons ### Industrial Chemistry and Environmental Pollution ### Nitrogen-Containing Organic Compounds ### Oxygen-Containing Organic Compounds ### Reaction Kinetics ### Structure and Bonding ## Start learning Chemistry A/L Chemistry today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Chemistry · Revision # Chemistry Revision Revision for every A/L Chemistry topic · Aligned with the NIE syllabus Home/ Chemistry/ Revision ## All Topics ### Atomic Structure ### Basic Concepts of Organic Chemistry ### Chemical Calculations ### Chemical Equilibrium ### Chemistry of s, p, and d Block Elements ### Electrochemistry ### Energetics ### Gaseous State of Matter ### Hydrocarbons and Halohydrocarbons ### Industrial Chemistry and Environmental Pollution ### Nitrogen-Containing Organic Compounds ### Oxygen-Containing Organic Compounds ### Reaction Kinetics ### Structure and Bonding ## Start revising Chemistry A/L Chemistry today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Chemistry · Past Papers # Chemistry Past Papers Past Papers for every A/L Chemistry topic · Aligned with the NIE syllabus Home/ Chemistry/ Past Papers ## All Topics ### Atomic Structure ### Basic Concepts of Organic Chemistry ### Chemical Calculations ### Chemical Equilibrium ### Chemistry of s, p, and d Block Elements ### Electrochemistry ### Energetics ### Gaseous State of Matter ### Hydrocarbons and Halohydrocarbons ### Industrial Chemistry and Environmental Pollution ### Nitrogen-Containing Organic Compounds ### Oxygen-Containing Organic Compounds ### Reaction Kinetics ### Structure and Bonding ## Practise Chemistry A/L Chemistry questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Chemistry · Library # Chemistry Library Library for every A/L Chemistry topic · Aligned with the NIE syllabus Home/ Chemistry/ Library ## All Topics ### Atomic Structure ### Basic Concepts of Organic Chemistry ### Chemical Calculations ### Chemical Equilibrium ### Chemistry of s, p, and d Block Elements ### Electrochemistry ### Energetics ### Gaseous State of Matter ### Hydrocarbons and Halohydrocarbons ### Industrial Chemistry and Environmental Pollution ### Nitrogen-Containing Organic Compounds ### Oxygen-Containing Organic Compounds ### Reaction Kinetics ### Structure and Bonding ## Explore Chemistry A/L Chemistry resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Combined Mathematics · Theory Notes # Combined Mathematics Theory Notes Theory Notes for every A/L Combined Mathematics topic · Aligned with the NIE syllabus Home/ Combined Mathematics/ Theory Notes ## All Topics ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Frameworks and Jointed Rods ### Applied: Newtonian Dynamics and Motion ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Systems of Coplanar Forces (Statics) ### Applied: Systems of Coplanar Forces (Statics) ### Pure: Binomial Expansion ### Pure: Binomial Expansion ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circular Functions ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Differentiation ### Pure: Indices and Logarithms ### Pure: Inequalities ### Pure: Integration ### Pure: Integration ### Pure: Limits ### Pure: Mathematical Induction ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Partial Fractions ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Polynomials ### Pure: Quadratic Functions ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Sine and Cosine Rule ### Pure: Sine and Cosine Rule ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ## Start learning Combined Mathematics A/L Combined Mathematics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Combined Mathematics · Revision # Combined Mathematics Revision Revision for every A/L Combined Mathematics topic · Aligned with the NIE syllabus Home/ Combined Mathematics/ Revision ## All Topics ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Frameworks and Jointed Rods ### Applied: Newtonian Dynamics and Motion ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Systems of Coplanar Forces (Statics) ### Applied: Systems of Coplanar Forces (Statics) ### Pure: Binomial Expansion ### Pure: Binomial Expansion ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circular Functions ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Differentiation ### Pure: Indices and Logarithms ### Pure: Inequalities ### Pure: Integration ### Pure: Integration ### Pure: Limits ### Pure: Mathematical Induction ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Partial Fractions ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Polynomials ### Pure: Quadratic Functions ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Sine and Cosine Rule ### Pure: Sine and Cosine Rule ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ## Start revising Combined Mathematics A/L Combined Mathematics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Combined Mathematics · Past Papers # Combined Mathematics Past Papers Past Papers for every A/L Combined Mathematics topic · Aligned with the NIE syllabus Home/ Combined Mathematics/ Past Papers ## All Topics ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Frameworks and Jointed Rods ### Applied: Newtonian Dynamics and Motion ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Systems of Coplanar Forces (Statics) ### Applied: Systems of Coplanar Forces (Statics) ### Pure: Binomial Expansion ### Pure: Binomial Expansion ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circular Functions ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Differentiation ### Pure: Indices and Logarithms ### Pure: Inequalities ### Pure: Integration ### Pure: Integration ### Pure: Limits ### Pure: Mathematical Induction ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Partial Fractions ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Polynomials ### Pure: Quadratic Functions ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Sine and Cosine Rule ### Pure: Sine and Cosine Rule ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ## Practise Combined Mathematics A/L Combined Mathematics questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Combined Mathematics · Library # Combined Mathematics Library Library for every A/L Combined Mathematics topic · Aligned with the NIE syllabus Home/ Combined Mathematics/ Library ## All Topics ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Centre of Gravity ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Circular Motion ### Applied: Frameworks and Jointed Rods ### Applied: Newtonian Dynamics and Motion ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Probability ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Simple Harmonic Motion ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Statistics ### Applied: Systems of Coplanar Forces (Statics) ### Applied: Systems of Coplanar Forces (Statics) ### Pure: Binomial Expansion ### Pure: Binomial Expansion ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circle ### Pure: Circular Functions ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Complex Numbers ### Pure: Differentiation ### Pure: Indices and Logarithms ### Pure: Inequalities ### Pure: Integration ### Pure: Integration ### Pure: Limits ### Pure: Mathematical Induction ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Matrices ### Pure: Partial Fractions ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Permutations and Combinations ### Pure: Polynomials ### Pure: Quadratic Functions ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Series and Sequences ### Pure: Sine and Cosine Rule ### Pure: Sine and Cosine Rule ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ### Pure: Straight Line ## Explore Combined Mathematics A/L Combined Mathematics resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Physics · Theory Notes # Physics Theory Notes Theory Notes for every A/L Physics topic · Aligned with the NIE syllabus Home/ Physics/ Theory Notes ## All Topics ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ## Start learning Physics A/L Physics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Physics · Revision # Physics Revision Revision for every A/L Physics topic · Aligned with the NIE syllabus Home/ Physics/ Revision ## All Topics ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ## Start revising Physics A/L Physics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Physics · Past Papers # Physics Past Papers Past Papers for every A/L Physics topic · Aligned with the NIE syllabus Home/ Physics/ Past Papers ## All Topics ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ## Practise Physics A/L Physics questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- A/L Physics · Library # Physics Library Library for every A/L Physics topic · Aligned with the NIE syllabus Home/ Physics/ Library ## All Topics ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Current Electricity ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electromagnetism ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electronics ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Electrostatic Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Gravitational Field ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Measurement ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanical Properties of Matter ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Mechanics ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Oscillations and Waves ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ### Thermal Physics ## Explore Physics A/L Physics resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L English · Theory Notes # English Theory Notes Theory Notes for every O/L English topic · Aligned with the NIE syllabus Home/ English/ Theory Notes ## All Topics ### A Moment Of Fun ### A Simple Living ### Best Practices ### Best Use Of Time ### Choices In Life ### Enigma ### Facing Challenges ### For A Better Tomorrow ### Future ### Great Lanka ### Healthy Food ### Information ### Learning is Fun ### Let's Talk ### Nature ### On Your Way ### Our Responsibilities ### People ### Personality ### Reading Is Fun ### Sports ### Success ### The Right Career ### Travel ## Start learning English O/L English today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L English · Revision # English Revision Revision for every O/L English topic · Aligned with the NIE syllabus Home/ English/ Revision ## All Topics ### A Moment Of Fun ### A Simple Living ### Best Practices ### Best Use Of Time ### Choices In Life ### Enigma ### Facing Challenges ### For A Better Tomorrow ### Future ### Great Lanka ### Healthy Food ### Information ### Learning is Fun ### Let's Talk ### Nature ### On Your Way ### Our Responsibilities ### People ### Personality ### Reading Is Fun ### Sports ### Success ### The Right Career ### Travel ## Start revising English O/L English today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L English · Past Papers # English Past Papers Past Papers for every O/L English topic — every real paper since 2023, free to download · Aligned with the NIE syllabus Home/ English/ Past Papers ## Download the papers Every real Department of Examinations paper since 2023, plus a 2026 model paper we wrote ourselves — with the full marking scheme, which the official papers do not include. YearPast Papers marking schemeSource 2026 model Paper 1 · Paper 2 Paper 1 · Paper 2 Idasara Academy 2025 Paper 1 · Paper 2 not yet published Department of Examinations 2024 Paper 1 · Paper 2 not yet published Department of Examinations 2023 Paper 1 · Paper 2 not yet published Department of Examinations Past papers are reproduced from the Department of Examinations, Sri Lanka, for educational use. The 2026 model paper and its marking scheme are original Idasara Academy work. ### Downloaded a paper and did not know where to start? Sixteen questions, six kinds of question, and 35 of the 100 marks reachable without writing a sentence. The Grade Ladder shows you which questions to take first — four free books, one grade boundary each. See the marks map and the four books → ## All Topics ### A Moment Of Fun ### A Simple Living ### Best Practices ### Best Use Of Time ### Choices In Life ### Enigma ### Facing Challenges ### For A Better Tomorrow ### Future ### Great Lanka ### Healthy Food ### Information ### Learning is Fun ### Let's Talk ### Nature ### On Your Way ### Our Responsibilities ### People ### Personality ### Reading Is Fun ### Sports ### Success ### The Right Career ### Travel ## Practise English O/L English questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L English · Library # English Library Library for every O/L English topic · Aligned with the NIE syllabus Home/ English/ Library ## All Topics ### A Moment Of Fun ### A Simple Living ### Best Practices ### Best Use Of Time ### Choices In Life ### Enigma ### Facing Challenges ### For A Better Tomorrow ### Future ### Great Lanka ### Healthy Food ### Information ### Learning is Fun ### Let's Talk ### Nature ### On Your Way ### Our Responsibilities ### People ### Personality ### Reading Is Fun ### Sports ### Success ### The Right Career ### Travel ## Explore English O/L English resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Mathematics · Theory Notes # Mathematics Theory Notes Theory Notes for every O/L Mathematics topic · Aligned with the NIE syllabus Home/ Mathematics/ Theory Notes ## All Topics ### Algebraic Fractions ### Area ### Areas of Plane Figures between Parallel Lines ### Binomial Expressions ### Chord-Centre Theorem ### Congruence of Triangles ### Constructions ### Cyclic Quadrilaterals ### Data Representation ### Data Representation and Interpretation ### Equations ### Equiangular Triangles ### Factors of Quadratic Expressions ### Formulae ### Fractions ### Frequency Distributions ### Geometric Progressions ### Graphs ### Indices and Logarithms - I ### Indices and Logarithms - II ### Inequalities ### Inverse Proportion ### LCM of Algebraic Expressions ### Linear Inequalities ### Linear Relationships ### Logarithms I ### Logarithms II ### Matrices ### Parallelograms I ### Parallelograms II ### Percentages ### Perimeter ### Probability ### Pythagoras' Theorem ### Rate ### Real Numbers ### Sets ### Share Market ### Square Root ### Surface Area and Volume ### Surface Area of Solids ### Tangents ### The Midpoint Theorem ### Triangle Angle Theorems ### Triangles ### Trigonometry ### Volume of Solids ## Start learning Mathematics O/L Mathematics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Mathematics · Revision # Mathematics Revision Revision for every O/L Mathematics topic · Aligned with the NIE syllabus Home/ Mathematics/ Revision ## All Topics ### Algebraic Fractions ### Area ### Areas of Plane Figures between Parallel Lines ### Binomial Expressions ### Chord-Centre Theorem ### Congruence of Triangles ### Constructions ### Cyclic Quadrilaterals ### Data Representation ### Data Representation and Interpretation ### Equations ### Equiangular Triangles ### Factors of Quadratic Expressions ### Formulae ### Fractions ### Frequency Distributions ### Geometric Progressions ### Graphs ### Indices and Logarithms - I ### Indices and Logarithms - II ### Inequalities ### Inverse Proportion ### LCM of Algebraic Expressions ### Linear Inequalities ### Linear Relationships ### Logarithms I ### Logarithms II ### Matrices ### Parallelograms I ### Parallelograms II ### Percentages ### Perimeter ### Probability ### Pythagoras' Theorem ### Rate ### Real Numbers ### Sets ### Share Market ### Square Root ### Surface Area and Volume ### Surface Area of Solids ### Tangents ### The Midpoint Theorem ### Triangle Angle Theorems ### Triangles ### Trigonometry ### Volume of Solids ## Start revising Mathematics O/L Mathematics today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Mathematics · Past Papers # Mathematics Past Papers Past Papers for every O/L Mathematics topic · Aligned with the NIE syllabus Home/ Mathematics/ Past Papers ## All Topics ### Algebraic Fractions ### Area ### Areas of Plane Figures between Parallel Lines ### Binomial Expressions ### Chord-Centre Theorem ### Congruence of Triangles ### Constructions ### Cyclic Quadrilaterals ### Data Representation ### Data Representation and Interpretation ### Equations ### Equiangular Triangles ### Factors of Quadratic Expressions ### Formulae ### Fractions ### Frequency Distributions ### Geometric Progressions ### Graphs ### Indices and Logarithms - I ### Indices and Logarithms - II ### Inequalities ### Inverse Proportion ### LCM of Algebraic Expressions ### Linear Inequalities ### Linear Relationships ### Logarithms I ### Logarithms II ### Matrices ### Parallelograms I ### Parallelograms II ### Percentages ### Perimeter ### Probability ### Pythagoras' Theorem ### Rate ### Real Numbers ### Sets ### Share Market ### Square Root ### Surface Area and Volume ### Surface Area of Solids ### Tangents ### The Midpoint Theorem ### Triangle Angle Theorems ### Triangles ### Trigonometry ### Volume of Solids ## Practise Mathematics O/L Mathematics questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Mathematics · Library # Mathematics Library Library for every O/L Mathematics topic · Aligned with the NIE syllabus Home/ Mathematics/ Library ## All Topics ### Algebraic Fractions ### Area ### Areas of Plane Figures between Parallel Lines ### Binomial Expressions ### Chord-Centre Theorem ### Congruence of Triangles ### Constructions ### Cyclic Quadrilaterals ### Data Representation ### Data Representation and Interpretation ### Equations ### Equiangular Triangles ### Factors of Quadratic Expressions ### Formulae ### Fractions ### Frequency Distributions ### Geometric Progressions ### Graphs ### Indices and Logarithms - I ### Indices and Logarithms - II ### Inequalities ### Inverse Proportion ### LCM of Algebraic Expressions ### Linear Inequalities ### Linear Relationships ### Logarithms I ### Logarithms II ### Matrices ### Parallelograms I ### Parallelograms II ### Percentages ### Perimeter ### Probability ### Pythagoras' Theorem ### Rate ### Real Numbers ### Sets ### Share Market ### Square Root ### Surface Area and Volume ### Surface Area of Solids ### Tangents ### The Midpoint Theorem ### Triangle Angle Theorems ### Triangles ### Trigonometry ### Volume of Solids ## Explore Mathematics O/L Mathematics resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Science · Theory Notes # Science Theory Notes Theory Notes for every O/L Science topic · Aligned with the NIE syllabus Home/ Science/ Theory Notes ## All Topics ### Acids, Bases and Salts ### Chemical Reactions and Equations ### Ecosystems and Biodiversity ### Electricity and Magnetism ### Energy: Heat, Light and Sound ### Environment and Ecosystems ### Genetics and Heredity ### Heat and Thermal Energy ### Human Body Functions ### Human Body Systems ### Introduction to Electronics ### Introduction to Organic Chemistry ### Motion and Force ### O/L Exam Revision ### Photosynthesis and Plant Nutrition ### Plant Biology ### States and Properties of Matter ### The Cell and Cell Structure ### Waves and Sound ## Start learning Science O/L Science today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Science · Revision # Science Revision Revision for every O/L Science topic · Aligned with the NIE syllabus Home/ Science/ Revision ## All Topics ### Acids, Bases and Salts ### Chemical Reactions and Equations ### Ecosystems and Biodiversity ### Electricity and Magnetism ### Energy: Heat, Light and Sound ### Environment and Ecosystems ### Genetics and Heredity ### Heat and Thermal Energy ### Human Body Functions ### Human Body Systems ### Introduction to Electronics ### Introduction to Organic Chemistry ### Motion and Force ### O/L Exam Revision ### Photosynthesis and Plant Nutrition ### Plant Biology ### States and Properties of Matter ### The Cell and Cell Structure ### Waves and Sound ## Start revising Science O/L Science today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Science · Past Papers # Science Past Papers Past Papers for every O/L Science topic · Aligned with the NIE syllabus Home/ Science/ Past Papers ## Practice past-paper questions - 2023 · 4 - 2022 · 4 - 2021 · 4 - 2020 · 4 - 2019 · 2 - 2018 · 1 ## All Topics ### Acids, Bases and Salts ### Chemical Reactions and Equations ### Ecosystems and Biodiversity ### Electricity and Magnetism ### Energy: Heat, Light and Sound ### Environment and Ecosystems ### Genetics and Heredity ### Heat and Thermal Energy ### Human Body Functions ### Human Body Systems ### Introduction to Electronics ### Introduction to Organic Chemistry ### Motion and Force ### O/L Exam Revision ### Photosynthesis and Plant Nutrition ### Plant Biology ### States and Properties of Matter ### The Cell and Cell Structure ### Waves and Sound ## Practise Science O/L Science questions today Free AI study coach, daily plans and practice questions. No payment required. Create Free Account --- O/L Science · Library # Science Library Library for every O/L Science topic · Aligned with the NIE syllabus Home/ Science/ Library ## All Topics ### Acids, Bases and Salts ### Chemical Reactions and Equations ### Ecosystems and Biodiversity ### Electricity and Magnetism ### Energy: Heat, Light and Sound ### Environment and Ecosystems ### Genetics and Heredity ### Heat and Thermal Energy ### Human Body Functions ### Human Body Systems ### Introduction to Electronics ### Introduction to Organic Chemistry ### Motion and Force ### O/L Exam Revision ### Photosynthesis and Plant Nutrition ### Plant Biology ### States and Properties of Matter ### The Cell and Cell Structure ### Waves and Sound ## Explore Science O/L Science resources Free AI study coach, daily plans and practice questions. No payment required. Create Free Account