Unit 1: Chapter 1: A Square and a Cube
Not startedLearning outcomes
- Compute squares, square roots, cubes and cube roots
- Reason about perfect squares and cubes
Open chapter & practice10 graded questions
Class 8 — Advanced CT & AI Project Lifecycle
Part 1 advances CT through powers, the history of numbers, quadrilaterals and proportional reasoning. Part 2 walks through the full AI project lifecycle, real-world applications, fairness and ethical AI.
Computational ThinkingArtificial Intelligence
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Part 1 — Computational Thinking
Unit 2: Chapter 2: Power Play
Not startedLearning outcomes
- Use exponents and laws of exponents
- Express large/small numbers in standard form
Open chapter & practice10 graded questions
Unit 3: Chapter 3: A Story of Numbers
Not startedLearning outcomes
- Trace how number systems evolved historically
- Compare positional vs non-positional systems
Open chapter & practice10 graded questions
Unit 4: Chapter 4: Quadrilaterals
Not startedLearning outcomes
- Classify quadrilaterals by properties
- Apply angle-sum and side properties
Open chapter & practice10 graded questions
Unit 5: Chapter 5: Number Play
Not startedLearning outcomes
- Investigate patterns in integers and primes
- Form and test conjectures with examples
Open chapter & practice10 graded questions
Unit 6: Chapter 6: We Distribute Yet Things Multiply
Not startedLearning outcomes
- Apply the distributive property
- Use it to simplify expressions and computations
Open chapter & practice10 graded questions
Unit 7: Chapter 7: Proportional Reasoning
Not startedLearning outcomes
- Use ratios and proportions to compare quantities
- Solve direct and inverse proportion problems
Open chapter & practice10 graded questions
Part 2 — Artificial Intelligence
Unit 1: Chapter 1: AI Project Lifecycle
Not startedLearning outcomes
- List the stages of an AI project (problem → data → model → deploy)
- Apply the lifecycle to a small classroom problem
Open chapter & practice10 graded questions
Unit 2: Chapter 2: Artificial Intelligence and Its Applications
Not startedLearning outcomes
- Describe how AI analyses data, recognises patterns, learns and predicts
- Map AI applications to daily-life examples
Open chapter & practice10 graded questions
Unit 3: Chapter 3: Data and Fairness in AI
Not startedLearning outcomes
- Identify how data quality affects AI outcomes
- Reason about fairness and representativeness
Open chapter & practice10 graded questions
Unit 4: Chapter 4: Ethics and Responsible AI
Not startedLearning outcomes
- Explain key ethical principles for AI use
- Apply them to evaluate a real AI tool
Open chapter & practice10 graded questions