Our comprehensive AI education programme is CAPS-aligned and designed for Grades 8-12. All grades build toward four long-term competencies: AI Literacy, Data & Algorithms, Digital Tools & Automation, and Ethics, Citizenship & Careers.
AI Learning Strands
1. AI Literacy
What AI is, where it is used, strengths & limits
2. Data & Algorithms
Logic, stats, patterns, coding foundations
3. Digital Tools & Automation
Ethical, productive use of technology
4. Ethics, Citizenship & Careers
POPIA, safety, misinformation, careers
Grade 8 — AI Awareness & Digital Citizenship
Overall Goals
Recognise AI in everyday life
Understand basic AI terminology
Practice safe online behaviour
Learn foundational logic & data concepts
Subjects & Integration
Languages (HL & FAL)
Reading: AI-themed articles
Writing: Narrative "Life with AI in 2030"
Oral: Debates on AI benefits/risks
Mathematics
Patterns = algorithms
Intro to tables, graphs, and datasets
Natural Sciences
AI in weather, disease detection
Collect & analyse experimental data
Social Sciences
History: Tech revolutions
Geography: Satellite images + AI
EMS
Spreadsheet automation (basic formulas)
Technology
Flowcharts, Scratch programming basics
Creative Arts
Compare AI art vs human art
Life Orientation
Digital citizenship
Misinformation, deepfakes
Grade 9 — Data, Bias & Problem-Solving
Overall Goals
Work with datasets & simple stats
Recognise bias in data & media
Intro coding & robotics
Explore AI's impact on society
Subjects & Integration
Languages
Analyse opinion texts for bias
Mathematics
Mean, median, mode
Simple classification activities
Natural Sciences
AI in ecology, biology, and climate
Social Sciences
Automation and historical labour trends
EMS
Business modelling with spreadsheets
Technology
Robotics: sensors & decision-making
Creative Arts
AI-themed comics or storyboards
Life Orientation
Research careers affected by AI
Grade 10 — Foundations of AI
Overall Goals
Understand models, prediction, training data
Deepen data interpretation
Explore AI in each subject's real context
Subjects & Integration
Languages
Research essays on AI in communication
Media literacy & misinformation
Mathematics / Math Lit
Functions, graphs, correlation
Data-driven investigations
Physical & Life Sciences
Modelling, simulation, energy optimisation
AI in genetics & healthcare
Geography
GIS, climate modelling data
History
Source reliability & deepfakes
Business Stream (EMS/Bus/Eco/Acc)
AI in marketing, HR, finance
Accounting automation
CAT / IT
Dashboards
Python basics
Basic automation
Life Orientation
POPIA, legal/ethical issues
Grade 11 — Applied AI Projects
Overall Goals
Conduct subject-based projects
Use real datasets
Analyse AI's limitations
Use AI tools ethically under supervision
Subjects & Integration
Languages
Compare human vs AI writing
Structured research presentations
Maths / Math Lit
Regression, error analysis
Real-data investigations
Physical & Life Sciences
AI in energy systems, medical imaging
Geography
Smart Cities case studies
History
Misinformation detection activities
Business Stream
AI-enhanced business plans
CAT / IT
Applied automation systems
Intro ML with safe tools
Life Orientation
Career pathways in an AI economy
Grade 12 — Capstone & Future Readiness
Overall Goals
Expert-level critical thinking
Ethical analysis of AI
Future planning & real-world skills
School-wide Capstone Project
Subjects & Integration
Languages
Advanced tech ethics essays
Maths / Math Lit
Model limitations & error
Sciences
Climate/biomedical AI projects
Geography
Data-driven policy analysis
History
Future historians & AI-generated evidence
Business Stream
Strategic evaluation of AI impacts
CAT / IT
PAT automation and advanced functionality
Life Orientation
Digital future preparation
Grade 12 Capstone Project
Every student completes an interdisciplinary project that demonstrates their understanding of AI across multiple subjects.