AI Curriculum for CBSE Schools in Abu Dhabi
ADEK's AI Literacy initiative reaches 170+ private schools in Abu Dhabi, from KG to Grade 12. Our AI curriculum for CBSE schools in Abu Dhabi gives schools that follow CBSE a ready lesson plan, platform and training to go with it.
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What ADEK Expects and What We Provide
| Requirement | What it asks | What we provide |
|---|---|---|
| CBSE curriculum | The Computer Science content CBSE schools already follow | AI Cloud Lab is compatible with CBSE, and our AI lessons add to it from Grade 2 |
| ADEK AI Literacy | KG to Grade 12, in four strands, announced on 17 September 2026 | A KG to Grade 12 programme with lessons, projects and tasks for each strand |
| ADEK AI Growth Test | Grades 4 to 12, twice a year | Class reports in AI Cloud Lab between test dates |
| Technology and AI Policy | A policy set by each school | Teacher-verified AI marking and controlled access for each user |
| AI Lead | One lead per school, with teacher training | Training and a teacher's guide the AI Lead can share with colleagues |
| Assessment | Marked work for every class, on time | Automatic marking in AI Cloud Lab, verified by the teacher |
| School timetable | One period per class each week | Lesson plans and presentations a teacher can adjust to that period |
AI Curriculum Rollout in Abu Dhabi Schools, Term by Term
Teachers receive our teacher's guide, lesson plans, adjustable presentations and reference videos for the opening topics.
Classes sign in to AI Cloud Lab and start the opening topic. Classes 2 to 4 begin with Scratch and micro:bit, and older classes continue in Python.
Students submit through AI Cloud Lab, which marks automatically. The teacher verifies the marks and shares them.
A lab exam closes the unit, and class reports show how each group performed on tasks, quizzes and the exam.
Reports guide what each class revisits, and projects grow from blocks to Python, Arduino and Raspberry Pi.
What Our Lessons Cover in Each Class
KG to Class 1
Our computer science textbooks, with early-years tools such as Scratch Junior.
Classes 2 to 4
Our Scratch and micro:bit lessons on sequences, repeats and decisions, each ending in a small project to show the class.
Classes 5 to 8
Arduino, sensors, actuators and Python, with projects such as AI waste segregation and an automatic irrigation system.
Classes 9 to 12
Raspberry Pi and IoT builds, with computer vision and machine learning topics that students test on new examples.
Projects Students Build in Our Programme
| Project | What it combines |
|---|---|
| AI waste segregation | Code and a model that sorts items into categories |
| Automatic irrigation system | Sensor readings, code and an actuator |
| IoT home automation setup | Connected devices that control lights, fans and appliances |
ADEK's AI Literacy Strands in Our Lessons
| ADEK strand | Where it appears in our lessons |
|---|---|
| AI conceptual understanding | Topic lessons that explain how AI works, one stage at a time |
| Critical evaluation and informed interaction | Tasks where students test a model, note where it fails and judge its answers |
| AI solution design and development | Arduino, Raspberry Pi, IoT and Python projects that students design, build and test |
| Responsible governance | Teacher verification of AI marking, set beside each school's Technology and AI Policy |
What Our AI Curriculum for CBSE Schools in Abu Dhabi Gives Each Teacher
Teacher's guide
Step-by-step notes for every topic, from the first Scratch block to the AI units, so a teacher can prepare ahead of each class.
Lesson plans
Ready for each grade, with presentations the teacher adjusts to the class and the time available.
Reference videos
Short explainers a class can replay when a topic needs a second look.
AI generators
An AI code generator and an AI question generator prepare lab questions and sample programs for the next class.
Smart AI Teacher
Generators for lesson plans, question papers, topic notes, exams, presentations and group tasks.
Chat bot
Explains concepts, fixes errors and gives instant feedback on code.
No credit card required
Languages and Tools in Our Lessons by Class Band
| Class band | Our languages and tools | What students make |
|---|---|---|
| Classes 2 to 4 | Scratch, micro:bit, block coding | Small programs that make a board light up or respond |
| Classes 5 to 8 | Python, Arduino, sensors, actuators | Circuits that read a sensor and act on it |
| Classes 9 to 12 | Python, HTML, CSS, JavaScript, SQL, MIT App Inventor, Raspberry Pi, IoT | Websites, apps and connected systems |
Marking and Exams in Our AI Cloud Lab
- One-click marking: AI Cloud Lab grades 100+ assignments in one click, and the teacher verifies the results.
- Lab exam module: The teacher builds the exam, assigns it to classes and shares the marked outcome.
- Quizzes: Short checks inside the same AI Cloud Lab platform as the lessons, under one student login, and marked automatically.
- Several sections: One task goes to multiple classes together.
- Class reports: Results by class, ready for the next planning meeting, so each group's next steps come from its own marks.
Textbook-Based and Project-Based Learning in Our Programme
Our computer science textbooks run from KG to Grade 12, with eTextbooks too, and follow the order of the practical lessons.
The teacher sets a build, and students work toward a finished project to present.
AI Cloud Lab supports the two routes side by side and works with any Computer Science curriculum.
How We Work with Your School's AI Lead
- Briefing material: Our teacher's guide gives the AI Lead a topic-by-topic outline to share with colleagues.
- Training: Industry experts lead sessions on Python, AI, robotics and IoT, and teachers receive a course plan to follow.
- Format: Sessions are held off-site, and teachers can train abroad at no cost to them.
- Progress view: Class reports in AI Cloud Lab give the AI Lead one place to follow how each class is doing during the AI curriculum rollout in Abu Dhabi schools.
What a School Settles before Our First Class
| Item | What the school settles |
|---|---|
| Starting classes | Which classes begin, from Class 2 upward |
| Weekly period | A stand-alone AI slot or a share of the Computer Science period |
| Route | Textbook-based, project-based or both |
| AI Lead | The colleague who briefs teachers and follows class reports |
| Training | The dates teachers join our off-site sessions |
Ongoing Support from Our Team
Our phone and WhatsApp line, answered at any hour.
A space for students to share ideas and keep building outside class time, with a teacher guiding the projects.
Regular hands-on workshops where students build practical tech skills.
Our Background and Reach
- First AI lab: We established the first AI lab in UAE schools in 2019.
- Authors: NIT alumni and education, data science and AI experts designed our curriculum.
- Reach: Our programmes run in 500+ partner schools across 10+ countries.
- UK base: Our headquarters is in Basildon, England.
- Experience: Each rollout draws on lesson plans that teachers elsewhere have already used.
Frequently Asked Questions (FAQs)
Get Started
Meeting ADEK's AI literacy goals doesn't require building a curriculum from scratch. Explore the AI Cloud Lab to see how our ready-to-use lesson plans, automated grading, and CBSE-aligned AI activities fit your classrooms.
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