Technologies · Year 6

Active learning ideas

Artificial Intelligence in Everyday Life

Active learning lets students move from passive awareness to hands-on analysis of AI’s role in familiar tools. By testing real devices and sorting algorithm steps, students build concrete understanding beyond textbook definitions.

• ACARA Content Descriptions
• AC9TDI6K04

• 50–75 min
• Pairs → Whole Class
• 3 activities

Activity 01

• Case Study Analysis
• 60 min · Individual

AI Application Scavenger Hunt

Students identify and document at least five examples of AI they encounter in a 24-hour period, noting the AI's function and how it personalizes their experience. They can present findings as a digital poster or a short video.

Analyze how AI algorithms personalize online experiences.

Facilitation Tip

During Station Rotation: Spot the AI, circulate with a checklist to ensure each station includes both AI and non-AI examples so students compare behaviors directly.

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Activity 02

• Case Study Analysis
• 75 min · Small Groups

Build a Simple Recommendation System

Using a provided dataset (e.g., favorite books, movies), students create a basic rule-based system to recommend items to classmates based on shared preferences. This demonstrates algorithmic thinking without complex coding.

Differentiate between simple automation and true artificial intelligence.

Facilitation Tip

In Pairs: Recommendation Algorithm Sort, provide cut-out cards of personalization steps so students physically rearrange them to see how data flows into recommendations.

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Activity 03

• Case Study Analysis
• 50 min · Whole Class

AI Ethics Debate: Future School Day

Students are assigned roles (student, teacher, AI administrator) to debate the pros and cons of integrating AI into various aspects of the school day, such as automated grading or personalized learning paths.

Predict how AI might change a typical school day in the future.

Facilitation Tip

For Future School AI Skits, give groups a scenario starter like 'The cafeteria AI suggests meals' to focus their improvisation on AI’s role rather than costumes or props.

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

A few notes on teaching this unit

Teachers succeed by grounding abstract AI concepts in tangible devices and student experiences. Avoid over-reliance on metaphors like 'AI learns'; instead, use sorting and testing to show pattern-based predictions. Research suggests 7–12 minutes of direct instruction followed by immediate hands-on application keeps Year 6 students engaged without cognitive overload.

Successful learning looks like students naming specific AI features in everyday tech, distinguishing learning from fixed rules, and explaining predictions using data patterns. They should articulate limits of AI and its collaborative role with humans.

---

Watch Out for These Misconceptions

• AI thinks and understands like humans.

  During Station Rotation: Spot the AI, have students test facial recognition on a smartphone and note when it fails, then discuss that errors show AI lacks human-like understanding.

• All smart devices use artificial intelligence.

  During Station Rotation: Spot the AI, include a calculator and alarm clock at one station to highlight devices that use fixed rules, not learning algorithms.

• AI will replace all human jobs soon.

  During Future School AI Skits, ask groups to include a human role in their skit, then facilitate a class debrief on why creativity and oversight remain human strengths.

---

Methods used in this brief

• Case Study Analysis