Curriculum alignment · Singapore
Singapore coding, AI and computing programmes
We checked the LittleAIMaster Grade 1–12 AI course against all 31 rated requirements of this framework: 18 fully covered, 5 mostly covered, 8 partly covered. Open a requirement to see what learners do and the exact lessons.
Source documents (6)
Singapore Examinations and Assessment Board (SEAB), MOE & Cambridge University Press & Assessment
2 of 31 requirements are worded from secondary summaries or could not be checked against the primary document; they are marked.
Alignment chart
Every Singapore requirement, rated
Showing 31 of 31 requirements
Code for Fun (CFF)
Coding & Computational Thinking
Use basic coding concepts (variables, loops, functions) in a block-based coding platform to build simple programs.
We start Grade 2 · framework Grade 3Framework grades 3–5, 6–8Mostly covered
Use basic coding concepts (variables, loops, functions) in a block-based coding platform to build simple programs.
We start Grade 2 · framework Grade 3Framework grades 3–5, 6–8In Grade 3 'Byte on the Grid', learners build executable routes and repeats, observe failures and debug. In Grade 5 'Program a Gadget' they set up a live sensor event-response rule.
The grid language has no event command linking events and loops inside one program.
In Grade 3 'Byte on the Grid', learners drag blocks into a program with a sequence, an event start and a repeat, run it on a grid, watch where it goes wrong and fix one block. Grade 4 adds nested repeats and counters.
- Grade 2Unit 2: Noticing, representing and responding › Robo RepeatsStart When Tapped
- Grade 3Unit 4: Inside, connected, and improved › Byte on the GridA Sequence Reaches the FlowerWhen the Bell RingsRepeat 4 TimesRun It, Watch It, Fix It
- Grade 6Unit 6: My AI Future › How to Learn MoreLearning Resources Quiz
- Grade 7Unit 2: Teaching Machines › Teaching by ShowingOther ML Tools
- Grade 8Unit 3: My First AI › Arjun's Smart GameVideo Sensing MagicGame Building StepsInside Arjun's GameExplain Scratch AI Extensions
AI Literacy
Develop a basic understanding of what AI is, as part of the core Code for Fun curriculum (before taking the AI for Fun elective).
We start Grade 2 · framework Grade 3Framework grades 3–5, 6–8Fully covered
Develop a basic understanding of what AI is, as part of the core Code for Fun curriculum (before taking the AI for Fun elective).
We start Grade 2 · framework Grade 3Framework grades 3–5, 6–8In Grade 3 'Robots' and 'AI at Work', learners sort machines into those told the steps and those shown examples, see that a toaster needs no AI, and learn AI as a machine that learns.
In Grade 6 'What is AI?' and 'AI in Your Home', learners define AI and sort real gadgets as AI or not AI, using three levels, five clues and rule-based versus learning-based tests, giving reasons.
Computational & Design Thinking
Apply computational thinking and design-thinking concepts to create a solution for a real-world problem (secondary school students).
Framework grades 6–8Fully covered
Apply computational thinking and design-thinking concepts to create a solution for a real-world problem (secondary school students).
Framework grades 6–8In Grade 8 'Designing AI Solutions' and 'The Wrong Solution', learners use six-step design thinking on school food waste, do 5 Whys root-cause work, run user interviews and sort problem statements as strong or too vague.
AI Ethics
Understand AI's uses, risks and limitations, and apply ethical considerations (e.g. academic integrity, proper data handling) when using AI to support learning.
Framework grades 3–5, 6–8, 9–10Fully covered
Understand AI's uses, risks and limitations, and apply ethical considerations (e.g. academic integrity, proper data handling) when using AI to support learning.
Framework grades 3–5, 6–8, 9–10In Grade 4 'How AI Is Built' and Grade 3 'Predicting', learners see that Byte is wrong one time in a hundred, that confidence is not correctness, pick the smallest tool that works, and sort uses into fine-to-use and check-first.
In Grade 8 'The AI Hammer', learners judge whether AI fits a stated purpose using a suitability checklist. Grade 6 'AI Makes Mistakes' and 'When to Trust AI' cover mistakes, limits and risks.
Learners sort the pros and cons of K-Nearest Neighbors and decision trees in Grade 9, judge real versus hyped AI capability in Grade 10 'AI for Global Good', and check whether eight project ideas can be built in 'Spark of Inspiration'.
AI for Fun (elective module under CFF)
AI Literacy / Digital Making
Understand what a smart/intelligent robot is and how AI enables it to respond to inputs.
Framework grades 3–5, 6–8Fully covered
Understand what a smart/intelligent robot is and how AI enables it to respond to inputs.
Framework grades 3–5, 6–8In Grade 3 'Kinds of Robots', learners classify robots by terrain and control, distinguish a cobot and justify the choice of robot for a job.
In Grade 3 'Kinds of Robots', learners sort robots from ordinary machines and cobots, sort them by land, air, water or space, and by who steers. Grade 7 'How Robots Sense, Decide and Move' adds a four-part robot test and what AI adds.
- Grade 3Unit 3: Count, create, check and improve › Kinds of RobotsRobot or Ordinary Machine?Where Robots WorkWho Controls It?Cobots Work Beside Us
- Grade 6Unit 1: The AI Story › Robots in HistoryOld vs New
- Grade 6Unit 1: The AI Story › Early AI DreamsMeet SHAKEY!
- Grade 6Unit 1: The AI Story › The AI WinterPromise vs Reality!
- Grade 6Unit 5: AI Activities › Human Robot GameCan the Robot Check It?Real Robot Precision
- Grade 7Unit 5: AI Games and Puzzles › How Robots Sense, Decide and MoveRobot, Machine or Body-less AI?
Train a robot or AI-enabled prototype to respond to external signals through hands-on exploration and tinkering.
Framework grades 3–5, 6–8Mostly covered
Train a robot or AI-enabled prototype to respond to external signals through hands-on exploration and tinkering.
Framework grades 3–5, 6–8In Grade 3 'Change the Examples, Change the Guess' and Grade 5 'Program a Gadget', learners capture motion-sensor examples, train the model and see the device classify fresh signals.
Live capture works on phones and tablets only; web practice does not count as live sensor capture.
In Python Lab Module 48 learners read live phone motion and write code that reacts to gestures taught in the Motion trainer. Grade 7 'Lily's Big Moment' gives Teachable Machine setup steps for camera projects.
Microphone data is never used to train a model, camera training happens only outside the app, and no Grade 6-8 chapter sends learners to the motion tools.
- Grade 7Unit 6: AI Project Lab › Lily's Big MomentTeachable Machine Setup
- Grade 7Unit 6: AI Project Lab › The Great Project ChoiceCategory 2: Sound
- Grade 8Unit 3: My First AI › Arjun's Smart HomeArjun's Smart HomeInside a Smart HomeThe 6 PM MysteryAnatomy of a RoutineMatch the PartsThe Home's SensesTrigger, Condition, or Action?Pick the SensorRun the RoutineTune the AutomationsAlexa Routines in Smart HomesShould You Automate It?Smart Call or Bad Call?Smart Home QuizVocabulary MatchKey Takeaways
Design and build a prototype that incorporates artificial intelligence to address a problem.
Framework grades 3–5, 6–8Fully covered
Design and build a prototype that incorporates artificial intelligence to address a problem.
Framework grades 3–5, 6–8In Grade 3 'Change the Examples, Change the Guess' and Grade 5 'Program a Gadget', learners collect movement examples, train a local classifier, test fresh signals and report misses and revisions.
In Grade 7 'The 70% Problem' and Grade 8 'Building & Training AI', learners build and evaluate prototypes, such as a Teachable Machine classifier improved from 70 to 91 percent and a Python chatbot traced end to end.
National Digital Literacy Programme (NDLP)
Digital Safety & Security
Develop digital safety and security competencies as one of the nine core NDLP digital competencies.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10Fully covered
Develop digital safety and security competencies as one of the nine core NDLP digital competencies.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10In Grade 6 'Being a Good Digital Citizen' and 'AI and Privacy', learners use STOP, SAVE, BLOCK, TELL for cyberbullying, report to a trusted adult, use a nickname over a real name, apply a permissions need-test, and never meet online contacts alone.
- Grade 5Unit 1: Private information and careful evidence › Locks and Keys
- Grade 5Unit 1: Private information and careful evidence › My Data Trail
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital Citizen
- Grade 6Unit 6: My AI Future › How to Learn More
- Grade 6Unit 4: Being Smart About AI › AI and Privacy
In Grade 5 learners see what a search and a photo give away, sort what is private, and decide what to do about a stranger's messages, scary pop-ups and mean game chat (do not reply, keep a picture, tell a trusted adult).
- Grade 5Unit 1: Private information and careful evidence › My Data TrailWhat a Search RemembersWhat a Photo CarriesLeaving Less Behind
- Grade 5Unit 1: Private information and careful evidence › When Something Goes WrongWho Is Behind the Screen?Something Scary AppearedSomeone Was MeanTelling Is the Fix
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital CitizenSix Pillars of Digital CitizenshipGood Netiquette FinderDigital Citizenship Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › Privacy and AIMatch Privacy Risks!Privacy Protection TipsSpot Privacy Issues!Could This Identify You?
- Grade 10Unit 6: Deep Learning Projects › Deep Learning PortfolioShare or Keep Private?
- Grade 10Unit 5: AI Ethics Deep Dive › Keeping Secrets: EncryptionWhy AI Needs Encryption
- Grade 10Unit 5: AI Ethics Deep Dive › Deepfakes and MisinformationDangers of DeepfakesCombating DeepfakesSpot the Red Flags!
Digital Responsibility
Develop digital responsibility as one of the nine core NDLP digital competencies.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10Fully covered
Develop digital responsibility as one of the nine core NDLP digital competencies.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10In Grade 6 'Being a Good Digital Citizen' and 'AI and Privacy', learners use STOP, SAVE, BLOCK, TELL for cyberbullying, report to a trusted adult, use a nickname over a real name, apply a permissions need-test, and never meet online contacts alone.
- Grade 5Unit 1: Private information and careful evidence › Locks and Keys
- Grade 5Unit 1: Private information and careful evidence › My Data Trail
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital Citizen
- Grade 6Unit 6: My AI Future › How to Learn More
- Grade 6Unit 4: Being Smart About AI › AI and Privacy
In Grade 5 learners see what a search and a photo give away, sort what is private, and decide what to do about a stranger's messages, scary pop-ups and mean game chat (do not reply, keep a picture, tell a trusted adult).
- Grade 5Unit 1: Private information and careful evidence › My Data TrailWhat a Search RemembersWhat a Photo CarriesLeaving Less Behind
- Grade 5Unit 1: Private information and careful evidence › When Something Goes WrongWho Is Behind the Screen?Something Scary AppearedSomeone Was MeanTelling Is the Fix
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital CitizenSix Pillars of Digital CitizenshipGood Netiquette FinderDigital Citizenship Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › Privacy and AIMatch Privacy Risks!Privacy Protection TipsSpot Privacy Issues!Could This Identify You?
- Grade 10Unit 6: Deep Learning Projects › Deep Learning PortfolioShare or Keep Private?
- Grade 10Unit 5: AI Ethics Deep Dive › Keeping Secrets: EncryptionWhy AI Needs Encryption
- Grade 10Unit 5: AI Ethics Deep Dive › Deepfakes and MisinformationDangers of DeepfakesCombating DeepfakesSpot the Red Flags!
Digital Knowledge Currency
Keep digital knowledge current, including awareness of emerging technologies such as AI, as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Partly covered
Keep digital knowledge current, including awareness of emerging technologies such as AI, as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 6 'How to Learn More', Grade 7 'Two Presentations' and Grade 8 'Building a Portfolio', learners pick free platforms for a goal, produce posters and demos, choose portfolio platforms for code, visuals, documents and video, and plan to keep learning.
In Grade 9 'The Right Question' and Grade 10 'Presentation and Demo', learners use an AI chat tool on their own textbook paragraph, write a project Gantt chart, plan a goal with AI, and record and self-score a 3-minute demo.
Learners do not practise finding information with search tools, managing information across subjects, or keeping their tool knowledge current; those are only told.
- Grade 9Unit 6: ML Projects › The Right QuestionThe Right Question for an AI: Prompting to StudyStudy Session in Prompt Lab
- Grade 9Unit 6: ML Projects › The Failed ProjectYour Own Gantt
- Grade 9Unit 6: ML Projects › Portfolio Opens DoorsREADME Structure
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 6: Deep Learning Projects › Presentation and DemoDeliver It: Record Your 3-Minute DemoYour Self-Assessment
- Grade 10Unit 6: Deep Learning Projects › Project DocumentationFix This README
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkJobs Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › AI Ethics Unit ReviewForever Lessons
Computational Thinking
Develop computational thinking as one of the nine core NDLP digital competencies.
We start Grade 4 · framework Grade 6Framework grades 6–8, 9–10Fully covered
Develop computational thinking as one of the nine core NDLP digital competencies.
We start Grade 4 · framework Grade 6Framework grades 6–8, 9–10In Grade 4 'Thinking Tools, Real Names', learners learn decomposition, pattern recognition, abstraction and algorithms by name, split a task, choose what a program keeps, write exact steps, and pick the tool that fits each problem.
- Grade 4Unit 3: Useful work, careful choices and evidence › Thinking Tools, Real NamesFour Tools, Real NamesBreak It UpKeep What MattersSpot the Pattern, Write the StepsWhich Tool Fits?
- Grade 6Unit 6: My AI Future › Your AI SuperpowersBreaking Down ProblemsPower-Up TimelineSuperpower QuizNew Words
- Grade 6Unit 5: AI Activities › Pattern GamesMatch Patterns to Rules
- Grade 6Unit 2: How Computers Think › Following Instructions - AlgorithmsOrder the Steps!Followable or Vague?
- Grade 6Unit 1: The AI Story › Birth of ComputersAda's Vision
Learners name and practise decomposition, pattern recognition and algorithm design in Grade 6, such as 'Patterns Are Everywhere'. Scoping and decomposition continue in Grade 9 'The Failed Project'.
Digital Information Management
Develop digital information management skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Partly covered
Develop digital information management skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 6 'How to Learn More', Grade 7 'Two Presentations' and Grade 8 'Building a Portfolio', learners pick free platforms for a goal, produce posters and demos, choose portfolio platforms for code, visuals, documents and video, and plan to keep learning.
In Grade 9 'The Right Question' and Grade 10 'Presentation and Demo', learners use an AI chat tool on their own textbook paragraph, write a project Gantt chart, plan a goal with AI, and record and self-score a 3-minute demo.
Learners do not practise finding information with search tools, managing information across subjects, or keeping their tool knowledge current; those are only told.
- Grade 9Unit 6: ML Projects › The Right QuestionThe Right Question for an AI: Prompting to StudyStudy Session in Prompt Lab
- Grade 9Unit 6: ML Projects › The Failed ProjectYour Own Gantt
- Grade 9Unit 6: ML Projects › Portfolio Opens DoorsREADME Structure
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 6: Deep Learning Projects › Presentation and DemoDeliver It: Record Your 3-Minute DemoYour Self-Assessment
- Grade 10Unit 6: Deep Learning Projects › Project DocumentationFix This README
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkJobs Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › AI Ethics Unit ReviewForever Lessons
Digital Communication, Collaboration & Participation
Develop digital communication, collaboration and participation skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Partly covered
Develop digital communication, collaboration and participation skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 6 'How to Learn More', Grade 7 'Two Presentations' and Grade 8 'Building a Portfolio', learners pick free platforms for a goal, produce posters and demos, choose portfolio platforms for code, visuals, documents and video, and plan to keep learning.
In Grade 9 'The Right Question' and Grade 10 'Presentation and Demo', learners use an AI chat tool on their own textbook paragraph, write a project Gantt chart, plan a goal with AI, and record and self-score a 3-minute demo.
Learners do not practise finding information with search tools, managing information across subjects, or keeping their tool knowledge current; those are only told.
- Grade 9Unit 6: ML Projects › The Right QuestionThe Right Question for an AI: Prompting to StudyStudy Session in Prompt Lab
- Grade 9Unit 6: ML Projects › The Failed ProjectYour Own Gantt
- Grade 9Unit 6: ML Projects › Portfolio Opens DoorsREADME Structure
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 6: Deep Learning Projects › Presentation and DemoDeliver It: Record Your 3-Minute DemoYour Self-Assessment
- Grade 10Unit 6: Deep Learning Projects › Project DocumentationFix This README
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkJobs Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › AI Ethics Unit ReviewForever Lessons
Data Competencies
Develop data competencies as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Fully covered
Develop data competencies as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 7 'Patterns in Data' and 'Pattern Challenge', learners work a canteen food-waste case from collecting to testing a prediction. Grade 8 'Capstone Project' turns interviews into data needs.
In Grade 9 'The Right Question', 'The Data Hunter' and 'Graphs Tell Stories', learners decide what data is needed, acquire it ethically, then collect, clean, visualise, analyse and act to support a decision.
Device & Software Operations
Develop device and software operation skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Partly covered
Develop device and software operation skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 6 'Memory and Storage' and 'Input and Output', learners sort CPU from GPU, compare RAM and storage, and order the input-process-output chain.
Operating systems, system and application software, drivers, common hardware faults and troubleshooting are not named, and how components pass data is only implied.
In Grade 10 'GPU vs CPU', learners cover the CPU, GPU, VRAM, main RAM, drivers and operating system, and out-of-memory errors, using memory arithmetic and GPU setup steps.
Storage, the motherboard, buses and the network interface do not appear, and hardware faults such as overheating or a failing drive are not taught.
- Grade 10Unit 2: Training Deep Networks › GPU vs CPUWhat Is CPU?What Is GPU?GPU Memory (VRAM)GPU Setup StepsThe Part That Won't Speed UpWill It Fit?
- Grade 10Unit 2: Training Deep Networks › Epochs & BatchesCount the Batches
Coding & Programming
Develop coding and programming skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10Fully covered
Develop coding and programming skills as one of the nine core NDLP digital competencies.
Framework grades 6–8, 9–10In Grade 8 chapters such as 'Making Decisions: If Statements', 'Loop Magic' and 'Loops Inside Loops', learners assemble and trace programs with variables, if/elif/else, and/or/not, for and while loops and nested loops, and justify condition order.
Learners complete sequence, if/elif/else, for and while loops, range, break/continue, nested loops and compound conditions in Grade 8, such as 'Welcome AI Builders' and 'The 100 Names Problem', before Grade 9.
Digital Literacy Framework
Apply the Find-Think-Apply-Create framework when locating, evaluating, using and creating with digital information (exact breakdown of the four components not published on the primary MOE page reviewed).
Framework grades 6–8, 9–10· secondary sourcePartly covered
Apply the Find-Think-Apply-Create framework when locating, evaluating, using and creating with digital information (exact breakdown of the four components not published on the primary MOE page reviewed).
Framework grades 6–8, 9–10· secondary sourceIn Grade 6 'How to Learn More', Grade 7 'Two Presentations' and Grade 8 'Building a Portfolio', learners pick free platforms for a goal, produce posters and demos, choose portfolio platforms for code, visuals, documents and video, and plan to keep learning.
In Grade 9 'The Right Question' and Grade 10 'Presentation and Demo', learners use an AI chat tool on their own textbook paragraph, write a project Gantt chart, plan a goal with AI, and record and self-score a 3-minute demo.
Learners do not practise finding information with search tools, managing information across subjects, or keeping their tool knowledge current; those are only told.
- Grade 9Unit 6: ML Projects › The Right QuestionThe Right Question for an AI: Prompting to StudyStudy Session in Prompt Lab
- Grade 9Unit 6: ML Projects › The Failed ProjectYour Own Gantt
- Grade 9Unit 6: ML Projects › Portfolio Opens DoorsREADME Structure
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 6: Deep Learning Projects › Presentation and DemoDeliver It: Record Your 3-Minute DemoYour Self-Assessment
- Grade 10Unit 6: Deep Learning Projects › Project DocumentationFix This README
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkJobs Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › AI Ethics Unit ReviewForever Lessons
National Digital Literacy Programme (NDLP) - AI literacy strand
AI Literacy
Understand what AI is.
Framework grades 6–8, 9–10Fully covered
Understand what AI is.
Framework grades 6–8, 9–10In Grade 6 'What is AI?' and 'AI in Your Home', learners define AI and sort real gadgets as AI or not AI, using three levels, five clues and rule-based versus learning-based tests, giving reasons.
In Grade 9 'Welcome, AI Engineers!', learners sort eight tasks as traditional programming or machine learning and judge eight products, such as Netflix, a calculator, Gmail and Tesla, as AI or not with reasons.
Identify and explain AI's potential benefits, limitations and risks.
Framework grades 6–8, 9–10Fully covered
Identify and explain AI's potential benefits, limitations and risks.
Framework grades 6–8, 9–10In Grade 8 'The AI Hammer', learners judge whether AI fits a stated purpose using a suitability checklist. Grade 6 'AI Makes Mistakes' and 'When to Trust AI' cover mistakes, limits and risks.
Learners sort the pros and cons of K-Nearest Neighbors and decision trees in Grade 9, judge real versus hyped AI capability in Grade 10 'AI for Global Good', and check whether eight project ideas can be built in 'Spark of Inspiration'.
Leverage AI tools effectively for learning and for daily life.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10Fully covered
Leverage AI tools effectively for learning and for daily life.
We start Grade 5 · framework Grade 6Framework grades 6–8, 9–10In Grade 6 'AI Today - ChatGPT & Beyond' and Grade 8 'Carlos's Writing Helper', learners sort fair help from over-the-line help, follow a seven-step assistant process that keeps the thinking with the student, and see copying an app's steps flagged as bad use.
In Grade 6 'AI Makes Mistakes' and Grade 7 'AI Understands Words', learners study honest AI use in schoolwork, tool-versus-boss dependence, and plan-and-check versus handover.
EdTech Masterplan 2030 (AI in education)
AI Literacy - Four Learns
Learn about AI: understand what AI is and how it works.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12Mostly covered
Learn about AI: understand what AI is and how it works.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12In Grade 2 'Can a Machine Think?' and 'Rules or Examples?', learners tell a machine that learns from one that only follows buttons, and explain their choice when the teacher revisits it.
The repeated definition equates AI with learning from examples; rule-based AI is not clearly included in it.
In Grade 3 'Robots' and 'AI at Work', learners sort machines into those told the steps and those shown examples, see that a toaster needs no AI, and learn AI as a machine that learns.
In Grade 6 'What is AI?' and 'AI in Your Home', learners define AI and sort real gadgets as AI or not AI, using three levels, five clues and rule-based versus learning-based tests, giving reasons.
In Grade 9 'Welcome, AI Engineers!', learners sort eight tasks as traditional programming or machine learning and judge eight products, such as Netflix, a calculator, Gmail and Tesla, as AI or not with reasons.
Grade 6 'What is AI?' gives a five-clue test for spotting AI and sorts AI from automation and connected devices. Learners apply a rule-based versus learned test to each device. Grade 11-12 builds on this.
- Grade 6Unit 1: The AI Story › What is AI?
- Grade 6Unit 1: The AI Story › Robots in History
- Grade 6Unit 1: The AI Story › Birth of Computers
- Grade 6Unit 1: The AI Story › AI Gets Its Name
- Grade 6Unit 1: The AI Story › Early AI Dreams
- Grade 6Unit 1: The AI Story › The AI Winter
- Grade 6Unit 1: The AI Story › AI Wakes Up Again
- Grade 6Unit 1: The AI Story › The Deep Learning Revolution
- Grade 6Unit 1: The AI Story › AI Today - ChatGPT & Beyond
- Grade 6Unit 1: The AI Story › Unit 1 Review - The AI Journey
- Grade 6Unit 3: AI Around Us › AI in Your Home
- Grade 6Unit 3: AI Around Us › AI in Your Phone
- Grade 6Unit 3: AI Around Us › AI Plays Games
- Grade 6Unit 3: AI Around Us › AI Recommends For You
- Grade 6Unit 3: AI Around Us › AI Helps You Travel
- Grade 6Unit 3: AI Around Us › AI in Shopping
- Grade 6Unit 3: AI Around Us › AI in Healthcare
- Grade 6Unit 3: AI Around Us › AI in Schools
- Grade 6Unit 3: AI Around Us › AI Innovations Around the World
- Grade 6Unit 3: AI Around Us › Unit 3 Review - AI Scavenger Hunt!
- Grade 7Unit 3: Computer Vision Basics › How AI Sees
- Grade 7Unit 3: Computer Vision Basics › Pixels and Pictures
- Grade 7Unit 3: Computer Vision Basics › Colors for Computers
- Grade 7Unit 3: Computer Vision Basics › Finding Edges and Shapes
- Grade 7Unit 3: Computer Vision Basics › Face Detection Magic
- Grade 7Unit 3: Computer Vision Basics › Object Recognition
- Grade 7Unit 3: Computer Vision Basics › AI Reads Text
- Grade 7Unit 3: Computer Vision Basics › Image Classification
- Grade 7Unit 3: Computer Vision Basics › Computer Vision in the Real World
- Grade 7Unit 3: Computer Vision Basics › Unit 3 Review & Project
- Grade 12Unit 1: Cutting Edge AI › The Innovation Lab
Learn to use AI: use AI tools safely and responsibly.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12Partly covered
Learn to use AI: use AI tools safely and responsibly.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12In Grade 1 'Find It, Make It, Share It' and Grade 2 'Rules for AI', learners use privacy, permission, attribution and checking rules when making a shared piece.
The personal checklist does not bring all the harmful-content and identifiable-person-image restrictions into one practised routine.
In Grade 3 'Who Owns It?', learners apply a personal responsible-use checklist covering permission, privacy, credit, truthful sharing and harmful impersonation.
In Grade 3 'Who Owns It?', learners use six AI rules on one card: private things, ask or credit, say when AI made it, check before sharing, kind words, no fakes of real people. They sort cases and finish a poster honestly.
- Grade 3Unit 2: Deciding, sensing and having a say › Who Owns It?My AI RulesA Poster, Made HonestlyLicence Badges
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital CitizenAI Do's and Don'tsOK or Not OK to Do?Explain Honest AI Use
- Grade 6Unit 4: Being Smart About AI › Real vs Fake: Deepfakes
- Grade 8Unit 3: My First AI › Liam's Art DilemmaWhen the Picture Is a PersonHonest Use or Harm?The Contest Label
- Grade 8Unit 4: Image Projects › Reflection & GrowthWrite Your Class AI Rules
In Grade 10 'Choosing and Judging AI Tools', learners write an AI-use note for their own AI-assisted work; other lessons cover licences, consent for identifiable people and deepfake labelling through fixed-answer items.
Learners never write or follow a personal lawful-practice checklist; copyright for AI output and avoiding hate speech or harassment in their own work are not covered.
- Grade 9Unit 6: ML Projects › The Data HunterCleared to Use?
- Grade 10Unit 5: AI Ethics Deep Dive › Building Your AI Ethics FrameworkYour AI Roles
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsSay How You Used AIYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 5: AI Ethics Deep Dive › Deepfakes and MisinformationCombating Deepfakes
In Grade 11 'AI Art and Ethics', learners adapt a seven-line AI-practice checklist (no personal data, copyright, labelling AI output, verifying claims, no hateful content, consent for real people, crediting sources) and apply it to their capstone with evidence and one change.
- Grade 11Unit 2: Generative AI › The Art ControversyMy AI Practice ChecklistWhich Line Does It Break?My Checklist, AppliedEthical GuidelinesWrite the Rule
- Grade 12Unit 6: Final Capstone › Art PartnerCredit Your Project
- Grade 12Unit 4: AI Entrepreneurship › When AI Breaks the LawSort: Legal vs Illegal for AI ProductsSpot: Legally Safe AI Practices
- Grade 12Unit 4: AI Entrepreneurship › The Algorithm That DiscriminatedSort: Ethical vs Unethical AI Practices
- Grade 12Unit 2: AI Research Methods › The Ethics QuestionEthics in AI Research
- Grade 12Unit 6: Final Capstone › The Council DecisionDraft Your School's AI-Use Guideline
- Grade 12Unit 1: Cutting Edge AI › AI That Sees & HearsWhy Do Multiple Senses Matter?
- Capstone projectsCapstone Plan + Working Assistant
- Capstone projectsCapstone projects
- Capstone projectsDraft Your School's AI-Use Guideline
Learn with AI: apply AI to support and enhance one's own learning process.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12Mostly covered
Learn with AI: apply AI to support and enhance one's own learning process.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12In Grade 1 'Me and the Smart Machine', learners try a learning task first and choose a helper that explains or quizzes instead of replacing practice.
Learners judge and rehearse choices; using an actual learning AI through a sustained task is not shown.
In Grade 4 'Why Did It Say That?' and Grade 5 'AI Around the World', learners try tasks alone first, ask for a hint, ask to be quizzed rather than told, and see that a finished answer leaves them unready for the test.
In Grade 6 'AI Today - ChatGPT & Beyond' and Grade 8 'Carlos's Writing Helper', learners sort fair help from over-the-line help, follow a seven-step assistant process that keeps the thinking with the student, and see copying an app's steps flagged as bad use.
In Grade 6 'AI Makes Mistakes' and Grade 7 'AI Understands Words', learners study honest AI use in schoolwork, tool-versus-boss dependence, and plan-and-check versus handover.
In Grade 7 'AI Understands Words' and 'How Chatbots Work', plus Grade 6 lessons, learners meet plan-and-check versus handover and academic integrity; Grade 12 teaches using AI to review rather than replace thinking.
- Grade 6Unit 4: Being Smart About AI › AI Makes Mistakes
- Grade 6Unit 4: Being Smart About AI › AI Can Be Unfair
- Grade 6Unit 4: Being Smart About AI › AI and Privacy
- Grade 6Unit 4: Being Smart About AI › Real vs Fake: Deepfakes
- Grade 6Unit 4: Being Smart About AI › AI and Jobs
- Grade 6Unit 4: Being Smart About AI › Being a Good Digital Citizen
- Grade 6Unit 4: Being Smart About AI › When to Trust AI
- Grade 6Unit 4: Being Smart About AI › AI for Good
- Grade 6Unit 4: Being Smart About AI › You Control AI
- Grade 6Unit 4: Being Smart About AI › Unit 4 Review
- Grade 7Unit 4: Language and AI › AI Understands Words
- Grade 7Unit 4: Language and AI › How Chatbots Work
- Grade 7Unit 4: Language and AI › Family Reunion
- Grade 7Unit 4: Language and AI › Autocorrect and Prediction
- Grade 7Unit 4: Language and AI › Sentiment Analysis
- Grade 7Unit 4: Language and AI › Voice Assistants Explained
- Grade 7Unit 4: Language and AI › AI and World Languages
- Grade 7Unit 4: Language and AI › Text to Speech
- Grade 7Unit 4: Language and AI › AI Writing Stories
- Grade 7Unit 4: Language and AI › Unit 4 Review
- Grade 8Unit 3: My First AI › Maya's Discovery
- Grade 8Unit 3: My First AI › Arjun's Smart Game
- Grade 8Unit 3: My First AI › Emma's Design Challenge
- Grade 8Unit 3: My First AI › Carlos's Writing Helper
- Grade 8Unit 3: My First AI › Aisha's Helpful Project
- Grade 8Unit 3: My First AI › Liam's Art Dilemma
- Grade 8Unit 3: My First AI › Emma's Helper Bot
- Grade 8Unit 3: My First AI › Arjun's Smart Home
- Grade 8Unit 3: My First AI › The AI Toolkit
- Grade 8Unit 3: My First AI › The AI Challenge
- Grade 8Unit 3: My First AI › The Wrong Solution
- Grade 8Unit 3: My First AI › The AI Hammer
- Grade 12Unit 1: Cutting Edge AI › AI That Writes Code
Learn beyond AI: develop distinctly human capabilities and dispositions that AI cannot replicate.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12Partly covered
Learn beyond AI: develop distinctly human capabilities and dispositions that AI cannot replicate.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12In Grade 1 'Me and the Smart Machine' and 'Who Should Do It?', learners practise their own thinking, care, checking and creative choices while assigning routine parts to a helper.
Children practise their own ideas alongside supplied machine suggestions, but actual AI use is not joined to these tasks.
In Grade 4 'Who Is Responsible?' and Grade 5 'Rules for AI', learners see that caring, comforting and deciding what is fair stay with people, that only they know how their home feels, and that real friends check on you.
In Grade 6 'Your AI Superpowers', learners name and practise curiosity, decomposition, persistence and noticing unfairness as their own superpowers, and test the human edge against machines.
In Grade 10 'AI and the Future of Work', learners meet named human skills such as critical thinking and creativity and sort a teacher's tasks; in 'Choosing and Judging AI Tools' they check an AI plan and rewrite its message.
Skills are named in one place and practised in another with no link; learners do not deliberately practise a named capability alongside AI and self-assess it.
- Grade 9Unit 6: ML Projects › AI Careers: Who Builds, Shapes and Uses AIExperts Who Use AIAI Drafts or Expert Decides?
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkSkills of TomorrowAutomate, Assist or Lead?
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
In Grade 12 'Jobs Transformed', learners learn a three-question task test and which skills complement AI, sort tasks into AI first pass versus human-led, and apply the test to a job they might want.
No task asks learners to name a human capability, practise it on purpose while using AI and reflect; capabilities are named and sorted only.
- Grade 12Unit 6: Final Capstone › Jobs TransformedSkills That MatterSplit the JobExplain AI Career Change
- Grade 12Unit 6: Final Capstone › Graduation and Beyond - Your AI Journey ContinuesSort: Skills That Last vs Skills That Change
- Grade 12Unit 6: Final Capstone › Capstone Exhibition - Your Moment to ShineDefend Your Card to a Judge
- Capstone projectsCapstone projects
- Capstone projectsFinal Capstone: Assistant + Test Suite
National Digital Literacy Programme (NDLP) - Generative AI literacy
AI Literacy - Critical Thinking
Think critically about AI's biases, question AI-generated outputs, and discern or identify false or misleading information produced by AI.
We start Grade 4 · framework Grade 6Framework grades 6–8, 9–10Fully covered
Think critically about AI's biases, question AI-generated outputs, and discern or identify false or misleading information produced by AI.
We start Grade 4 · framework Grade 6Framework grades 6–8, 9–10In Grade 6 'When to Trust AI' and 'Real vs Fake: Deepfakes', learners use the SIFT and STOP methods and three verification questions, sort jobs into 'just use it' versus 'check it first', and do not pass on unverified AI facts.
In Grade 10 'Deepfakes and Misinformation', learners pause, check and verify before sharing; this builds on risk-based checking in Grade 6 and verifying AI-generated information in Grade 8.
EdTech Masterplan 2030
Digital Literacy & Technological Skills
Develop digital literacy and technological skills needed to thrive in an increasingly technology-driven world, as a central goal of the Masterplan.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12· secondary sourcePartly covered
Develop digital literacy and technological skills needed to thrive in an increasingly technology-driven world, as a central goal of the Masterplan.
Framework grades 1–2, 3–5, 6–8, 9–10, 11–12· secondary sourceIn Grade 1 'Find It, Make It, Share It' and 'Tally It, Chart It', learners find facts in supplied results, revise a caption and present a poster of collected data with credit.
Search and file management are teacher-supported and limited to prepared material, not a broader independent digital workflow.
In Grade 3 'Pick the Right Chart' and Grade 5 'My Digital Toolkit', learners find an attributed fact, name, store and retrieve versions, combine real project counts in a poster, and revise and present it.
In Grade 6 'How to Learn More', Grade 7 'Two Presentations' and Grade 8 'Building a Portfolio', learners pick free platforms for a goal, produce posters and demos, choose portfolio platforms for code, visuals, documents and video, and plan to keep learning.
In Grade 9 'The Right Question' and Grade 10 'Presentation and Demo', learners use an AI chat tool on their own textbook paragraph, write a project Gantt chart, plan a goal with AI, and record and self-score a 3-minute demo.
Learners do not practise finding information with search tools, managing information across subjects, or keeping their tool knowledge current; those are only told.
- Grade 9Unit 6: ML Projects › The Right QuestionThe Right Question for an AI: Prompting to StudyStudy Session in Prompt Lab
- Grade 9Unit 6: ML Projects › The Failed ProjectYour Own Gantt
- Grade 9Unit 6: ML Projects › Portfolio Opens DoorsREADME Structure
- Grade 10Unit 5: AI Ethics Deep Dive › Choosing and Judging AI ToolsYour Turn: Plan and Message With AIMy Plan and Message
- Grade 10Unit 6: Deep Learning Projects › Presentation and DemoDeliver It: Record Your 3-Minute DemoYour Self-Assessment
- Grade 10Unit 6: Deep Learning Projects › Project DocumentationFix This README
- Grade 10Unit 5: AI Ethics Deep Dive › AI and the Future of WorkJobs Quiz
- Grade 10Unit 5: AI Ethics Deep Dive › AI Ethics Unit ReviewForever Lessons
In Grade 12 'GitHub Pro!' and 'The Portfolio That Got the Interview' and Grade 11 'Documentation & Presentation', learners find, manage, create, communicate and present work using GitHub, READMEs, portfolios, slides and research tools.
- Grade 9Unit 6: ML Projects › The Failed Project
- Grade 9Unit 6: ML Projects › The Right Question
- Grade 9Unit 6: ML Projects › The Data Hunter
- Grade 9Unit 6: ML Projects › The Messy Data Disaster
- Grade 9Unit 6: ML Projects › The Magic Part
- Grade 9Unit 6: ML Projects › One Number Isn't Enough
- Grade 9Unit 6: ML Projects › Good to Great
- Grade 9Unit 6: ML Projects › The Missing Map
- Grade 9Unit 6: ML Projects › Science Fair Star
- Grade 9Unit 6: ML Projects › The Helpful Review
- Grade 9Unit 6: ML Projects › Portfolio Opens Doors
- Grade 9Unit 6: ML Projects › Last Day of Grade 9
- Grade 11Unit 6: Capstone Projects › Documentation & Presentation
- Grade 12Unit 5: Career Preparation › The Portfolio That Got the Interview
- Grade 12Unit 5: Career Preparation › GitHub Pro!
GCE O-Level Computing (Syllabus 7155)
Module 5.4 Emerging Technologies (AI/ML)
Describe Artificial Intelligence (AI) as the ability of a computer to perform complex tasks without constant human guidance and improve its performance as more data is collected.
We start Grade 6 · framework Grade 9Framework grades 9–10Fully covered
Describe Artificial Intelligence (AI) as the ability of a computer to perform complex tasks without constant human guidance and improve its performance as more data is collected.
We start Grade 6 · framework Grade 9Framework grades 9–10In Grade 9 'Welcome, AI Engineers!', learners sort eight tasks as traditional programming or machine learning and judge eight products, such as Netflix, a calculator, Gmail and Tesla, as AI or not with reasons.
Give examples of common personal and business tasks that can be performed well by AI: face recognition, voice recognition, image classification and spam filtering.
Framework grades 9–10Mostly covered
Give examples of common personal and business tasks that can be performed well by AI: face recognition, voice recognition, image classification and spam filtering.
Framework grades 9–10In Grade 9 'Welcome, AI Engineers!' and Grade 10 'Real-World CV Applications', learners name AI tasks in healthcare, finance, entertainment, agriculture, education and transport, and match tasks to sectors.
Defence and military AI is not taught as a sector in Grades 9-10; it appears only in Grade 12.
- Grade 9Unit 1: Math for AI › Welcome, AI Engineers!AI in Action
- Grade 9Unit 2: Supervised Learning › ML Workflow OverviewProblem Match
- Grade 10Unit 3: Computer Vision CNNs › Real-World CV ApplicationsMatch CV application to industry!
- Grade 10Unit 5: AI Ethics Deep Dive › AI for Global GoodAI Focus Areas
- Grade 12Unit 6: Final Capstone › The Council DecisionFuture Challenges
- Grade 12Unit 6: Final Capstone › Smart Grid HeroProtecting the Grid
Define Machine Learning (ML) as a technique used in AI and explain the difference between ML and traditional programming.
We start Grade 6 · framework Grade 9Framework grades 9–10Fully covered
Define Machine Learning (ML) as a technique used in AI and explain the difference between ML and traditional programming.
We start Grade 6 · framework Grade 9Framework grades 9–10In Grade 9 'Welcome, AI Engineers!', learners sort eight tasks into traditional programming or machine learning and get feedback on which approach suits each.
Use the nearest neighbour method for a classification task with two quantitative features to demonstrate the basic principles behind ML.
Framework grades 9–10Fully covered
Use the nearest neighbour method for a classification task with two quantitative features to demonstrate the basic principles behind ML.
Framework grades 9–10In Grade 9 'Which Algorithm Wins?', learners compare k-NN and a tree on the same cross-validation folds, choose with a reason, and evaluate k-NN on a held-out real Iris split.
- Grade 9Unit 2: Supervised Learning › K-Nearest NeighborsSame Neighbours, Different KDo the Distance Maths
- Grade 9Unit 2: Supervised Learning › Decision Trees in MLBe the TreeRate the Split
- Grade 9Unit 4: Training Models › Which Algorithm Wins?Forest or Logistic?Match Algorithm to TaskFair or Foul?Explain Model SelectionModel Comparison Code
- Grade 9Unit 5: Real World ML › ML's Hello WorldTrain It, Then Read the Mistakes
- Grade 9Unit 6: ML Projects › Science Fair StarBuild It in Python Lab
- Python LabModule 40: Model Improvement
- Python LabModule 36: Classificationk-NN or Tree: Bake-offk-NN on Iris
- Python LabPython Lab (graded modules)
Explain how unethical use of AI or using AI with biased data can lead to negative consequences.
Framework grades 9–10Fully covered
Explain how unethical use of AI or using AI with biased data can lead to negative consequences.
Framework grades 9–10In Grade 10 'Bias in AI Systems' and Grade 9 'The Biased Hiring Model', learners examine real skewed outputs in hiring, healthcare, credit and photo tagging, with the system cause explained each time.
School and system rules (not rated)
These apply to schools and education systems (hours, delivery, assessment, staffing, age rules). A course cannot meet them on its own.
- Complete a self-paced basic module on AI literacy (e.g. via the Student Learning Space) covering how AI works, its benefits and risks, and how to use it to support learning.
Bring the course to your school or region
Schools, school groups, resellers and partners: we will walk you through the alignment for your board and the lessons behind it.
See how the course maps to the other 13 curricula on the curriculum alignment overview, or browse the course grade by grade.
Our own reading of our own course, ratings reviewed 22 October 2026. It is not an endorsement, certification or accreditation by any authority named here, and it makes no claim about learning results.