Technologies · Year 10

Active learning ideas

Digital Ethics and Surveillance

Active learning lets students confront real stakes in digital ethics, turning abstract privacy concerns into tangible evidence. When they simulate data tracking or role-play algorithm court cases, students see how surveillance reshapes behavior and decisions in their own lives.

• ACARA Content Descriptions
• AC9DT10K01
• AC9DT10P01

• 35–50 min
• Pairs → Whole Class
• 4 activities

Activity 01

• Socratic Seminar
• 50 min · Small Groups

Debate Carousel: Surveillance Pros and Cons

Divide class into four groups, each assigned a viewpoint: privacy advocates, tech companies, governments, citizens. Groups prepare arguments for 10 minutes using provided case studies, then rotate to defend or rebut positions. Conclude with a whole-class vote and reflection on shifted opinions.

Who owns the data generated by your digital interactions?

Facilitation Tip

During the Debate Carousel, assign clear roles and time limits to keep discussions focused on balancing surveillance benefits and privacy risks.

What to look for

Pose the following to small groups: 'Imagine your school is considering installing AI-powered cameras to monitor student behavior and attendance. What are the potential benefits for school safety and efficiency? What are the privacy concerns for students and staff? Facilitate a debate where groups present arguments for and against the system.'

• Analyze
• Evaluate
• Create
• Social Awareness
• Relationship Skills

Activity 02

• Socratic Seminar
• 40 min · Pairs

Data Trail Simulation: Track Your Digital Footprint

Students log a day's digital activities on worksheets, then trace how data flows to third parties using flowcharts. In pairs, they map privacy risks and propose anonymization strategies. Share findings in a class gallery walk.

How does constant surveillance change human behavior?

Facilitation Tip

In the Data Trail Simulation, provide students with a non-judgmental space to reflect on their own digital habits and the hidden data flows behind seemingly free services.

What to look for

Present students with a scenario: 'A popular mobile app offers a free service in exchange for access to your location data and contact list. Ask students to write down two potential benefits of using the app and two potential risks associated with sharing their data. Collect responses to gauge understanding of trade-offs.

• Analyze
• Evaluate
• Create
• Social Awareness
• Relationship Skills

Activity 03

• Socratic Seminar
• 45 min · Small Groups

Predictive Policing Role-Play: Algorithm Court

Assign roles as algorithm developers, affected communities, and judges. Groups present biased algorithm scenarios, deliberate on fixes, and vote on redesigns. Debrief on real ethical standards like transparency.

What are the dangers of predictive policing algorithms?

Facilitation Tip

During the Predictive Policing Role-Play, give students a short script to ensure they understand the algorithm’s decision-making process before they critique it.

What to look for

On an index card, ask students to write: 1. One question they still have about data ownership. 2. One example of how constant surveillance might change their own behavior. 3. A brief description of one ethical challenge related to predictive policing.

• Analyze
• Evaluate
• Create
• Social Awareness
• Relationship Skills

Activity 04

• Socratic Seminar
• 35 min · Individual

Privacy Audit: App Review Challenge

Individuals select a common app, review its privacy policy in pairs, and score it on criteria like data sharing. Compile scores into a class spreadsheet for patterns, then brainstorm better designs.

Who owns the data generated by your digital interactions?

Facilitation Tip

For the Privacy Audit, provide a simple rubric that separates app permissions from user benefits so students can evaluate trade-offs fairly.

What to look for

Pose the following to small groups: 'Imagine your school is considering installing AI-powered cameras to monitor student behavior and attendance. What are the potential benefits for school safety and efficiency? What are the privacy concerns for students and staff? Facilitate a debate where groups present arguments for and against the system.'

• Analyze
• Evaluate
• Create
• Social Awareness
• Relationship Skills

A few notes on teaching this unit

Teachers should model skepticism by sharing their own digital dilemmas, such as why they choose certain apps despite privacy concerns. Avoid presenting surveillance as purely negative or positive; instead, frame it as a system with designers, users, and unintended outcomes. Research suggests students grasp bias in algorithms best when they trace data back to real people’s experiences, so center activities on lived consequences rather than technical details alone.

Successful learning shows when students move from passive acceptance to critical questioning of data use and its consequences. They should articulate trade-offs between safety and privacy, identify bias in algorithms, and propose ethical alternatives with clear reasoning.

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Watch Out for These Misconceptions

• During the Data Trail Simulation, watch for students who assume their personal data remains private because they haven’t sold it themselves.

  Use the simulation’s data flow maps to show how app permissions allow aggregation and resale to third parties without direct consent. Ask students to trace their simulated data to at least two unseen recipients and label each step with a risk level.

• During the Debate Carousel, watch for students who claim surveillance only affects people who break rules.

  In role assignments, require debaters to present evidence from studies on shopping, social media, or school behavior to show how tracking influences everyone. Use the carousel’s rotating stations to expose students to multiple perspectives before they solidify arguments.

• During the Predictive Policing Role-Play, watch for students who accept algorithm outputs as neutral because they come from data.

  In the courtroom setup, provide biased training data samples and ask students to analyze how historical policing patterns skew predictions. Use role cards to force them to defend outcomes that disproportionately affect certain groups, making bias visible through their own arguments.

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Methods used in this brief

• Socratic Seminar