Technologies · Year 9

Active learning ideas

Introduction to Artificial Intelligence (AI)

Active learning helps Year 9 students grasp AI’s real-world presence by moving beyond abstract definitions. When students analyze familiar technologies, debate implications, and predict futures, they connect core concepts to their own experiences, building deeper understanding than lectures alone can provide.

• ACARA Content Descriptions
• AC9DT10K01

• 20–40 min
• Pairs → Whole Class
• 4 activities

Activity 01

• Think-Pair-Share
• 25 min · Pairs

Think-Pair-Share: Everyday AI Hunt

Students individually list three AI examples from their phones or apps. In pairs, they classify each as helpful or concerning and note reasons. Pairs then share one example with the class via a shared digital board for collective mapping.

Explain what Artificial Intelligence is and give examples of where we see it.

Facilitation Tip

During the Everyday AI Hunt, circulate to ask guiding questions like, 'What data do you think this app uses to make its decisions?' to push students beyond listing examples.

What to look for

Present students with a list of technologies (e.g., calculator, smartphone camera filter, GPS navigation, spell checker). Ask them to identify which ones utilize AI and briefly explain why, focusing on tasks requiring human-like intelligence.

• Understand
• Apply
• Analyze
• Self-Awareness
• Relationship Skills

Activity 02

• Flipped Classroom
• 40 min · Small Groups

Small Group Debate: AI Benefits vs Risks

Divide class into small groups, assigning half to argue AI benefits like efficiency in transport, half risks like job loss. Groups prepare evidence from research clips, then debate with teacher moderation. Conclude with a class vote on key takeaways.

Differentiate between AI that helps us and AI that might be a concern.

Facilitation Tip

For the AI Benefits vs Risks debate, assign roles explicitly (e.g., tech developer, ethicist, user) to ensure balanced participation and evidence-based arguments.

What to look for

Pose the question: 'Imagine AI becomes significantly more advanced. What is one job you think would be most impacted, and how? What is one new job that might be created because of AI?' Facilitate a class discussion where students share and justify their predictions.

• Understand
• Apply
• Analyze
• Self-Management
• Self-Awareness

Activity 03

• Flipped Classroom
• 30 min · Pairs

Pairs Prediction: Future AI Scenarios

In pairs, students draw cards with job sectors like retail or medicine, then predict three ways AI changes them by 2040. Pairs create posters showing positive and negative outcomes. Display for a gallery walk.

Predict how AI might change jobs or daily life in the future.

Facilitation Tip

When running the Future AI Scenarios activity, provide sentence starters like, 'This scenario assumes AI can...' to scaffold predictions and ground them in current capabilities.

What to look for

On an index card, ask students to write down one example of AI they encountered today, one potential benefit of that AI, and one potential concern.

• Understand
• Apply
• Analyze
• Self-Management
• Self-Awareness

Activity 04

• Flipped Classroom
• 20 min · Whole Class

Whole Class: AI Application Sort

Project 20 real-world tech examples. Class votes via hand signals or polls on whether each uses AI and why. Discuss edge cases to refine definitions, recording consensus on a class chart.

Explain what Artificial Intelligence is and give examples of where we see it.

Facilitation Tip

In the AI Application Sort, challenge groups to justify their classifications by describing the human-like task involved, such as 'recognizing emotions' or 'translating languages'.

What to look for

Present students with a list of technologies (e.g., calculator, smartphone camera filter, GPS navigation, spell checker). Ask them to identify which ones utilize AI and briefly explain why, focusing on tasks requiring human-like intelligence.

• Understand
• Apply
• Analyze
• Self-Management
• Self-Awareness

A few notes on teaching this unit

Approach this topic by starting with what students already use, then gradually introducing technical terms. Research shows that misconceptions about AI often stem from anthropomorphism, so emphasize its rule-based nature early. Avoid framing AI as a 'magic box'—instead, dissect its components (data, algorithms, outputs) to build accurate mental models. Encourage skepticism by asking, 'How would you test if this AI is working fairly?' to develop critical evaluation skills.

Successful learning looks like students confidently distinguishing AI from non-AI tools, explaining machine learning’s role in pattern recognition, and weighing benefits against risks in discussions. They should also recognize AI’s limitations, such as bias and task-specificity, rather than overgeneralizing its capabilities.

---

Watch Out for These Misconceptions

• During the AI Application Sort, watch for students labeling any app as AI simply because it feels 'smart.'

  Use the sort to explicitly separate tasks requiring human-like intelligence (e.g., recognizing speech) from those using basic rules (e.g., calculating a tip). Have groups explain their choices to highlight the difference.

• During the AI Benefits vs Risks debate, some students may argue AI will 'think for itself' like a person.

  Redirect by asking groups to define 'intelligence' in the context of their debate examples. Use their own research to show AI as a tool that processes data, not one with goals or emotions.

• During the Future AI Scenarios activity, students might assume AI will soon replace all human work entirely.

  Have pairs adjust their scenarios to include new roles created by AI, such as 'AI trainers' or 'ethics auditors,' and present these alongside replacement examples to balance their predictions.

---

Methods used in this brief

• Think-Pair-Share
• Flipped Classroom