Introduction to Artificial IntelligenceActivities & Teaching Strategies
Active learning works because AI is abstract yet everywhere in students’ lives. Hands-on sorting, debating, and role-playing make intangible concepts concrete, helping students recognize AI in familiar apps and gadgets. These activities also reveal limits, preventing students from overestimating abilities they see in movies or ads.
Learning Objectives
- 1Classify examples as either weak AI or strong AI, providing justification for each classification.
- 2Analyze the function of AI in at least three everyday technologies, explaining the specific task the AI performs.
- 3Predict two potential future applications of AI in different industries, describing the expected benefits and challenges.
- 4Compare and contrast the capabilities of current AI systems with the hypothetical capabilities of strong AI.
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Card Sort: AI Technologies
Prepare cards listing technologies like voice assistants, washing machines, and chatbots. In small groups, students sort them into AI and non-AI categories, then justify choices with evidence from descriptions. Follow with a class share-out to resolve debates on borderline cases.
Prepare & details
Differentiate between strong AI and weak AI with real-world examples.
Facilitation Tip: For Card Sort: AI Technologies, group students heterogeneously so they challenge each other’s sorting choices and discuss why some technologies are or are not AI.
Setup: Wall space or tables arranged around room perimeter
Materials: Large paper/poster boards, Markers, Sticky notes for feedback
Formal Debate: Strong vs Weak AI
Assign pairs one type of AI to defend with examples like medical diagnostics for weak AI or sci-fi robots for strong. Pairs prepare two-minute arguments, then debate in a whole-class tournament. Vote on most convincing points to wrap up.
Prepare & details
Analyze how AI is currently used in everyday technologies.
Facilitation Tip: During Debate: Strong vs Weak AI, assign clear sides and require students to cite examples from their sorted cards before arguing.
Setup: Two teams facing each other, audience seating for the rest
Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer
Future AI Mind Maps: Industry Predictions
Students in small groups select an industry like transport or farming, then create mind maps linking current AI uses to three future predictions with pros and cons. Groups present one idea each, noting ethical concerns for peer feedback.
Prepare & details
Predict future applications of artificial intelligence in different industries.
Facilitation Tip: For Future AI Mind Maps: Industry Predictions, circulate and ask probing questions like, ‘What data would this system need?’ to push deeper analysis.
Setup: Wall space or tables arranged around room perimeter
Materials: Large paper/poster boards, Markers, Sticky notes for feedback
Ethical Scenario Role-Play
Provide printed scenarios on AI bias in hiring or privacy in smart cities. Small groups role-play stakeholders discussing solutions, recording key decisions. Debrief as a class to connect to real regulations like GDPR.
Prepare & details
Differentiate between strong AI and weak AI with real-world examples.
Facilitation Tip: In Ethical Scenario Role-Play, provide roles with conflicting interests and remind students to stay in character while proposing fair solutions.
Setup: Wall space or tables arranged around room perimeter
Materials: Large paper/poster boards, Markers, Sticky notes for feedback
Teaching This Topic
Teachers should ground abstract concepts in lived experience by connecting each activity to familiar apps and devices students use daily. Avoid over-reliance on futuristic examples, which can blur boundaries between weak and strong AI. Research shows students grasp AI better when they critique real systems rather than theorize about hypothetical ones.
What to Expect
Successful learning looks like students distinguishing weak from strong AI with examples, critiquing real-world AI decisions, and justifying predictions with evidence from the activities. They should demonstrate understanding by spotting bias, limits, and automation levels in familiar technologies.
These activities are a starting point. A full mission is the experience.
- Complete facilitation script with teacher dialogue
- Printable student materials, ready for class
- Differentiation strategies for every learner
Watch Out for These Misconceptions
Common MisconceptionDuring Card Sort: AI Technologies, some students may assume all technologies with buttons or screens are AI.
What to Teach Instead
During Card Sort: AI Technologies, circulate and ask, ‘What task does this perform?’ and ‘Does it learn or adapt?’ to redirect misconceptions about buttons equating to intelligence.
Common MisconceptionDuring Debate: Strong vs Weak AI, students may claim that voice assistants like Siri show strong AI because they respond conversationally.
What to Teach Instead
During Debate: Strong vs Weak AI, remind students to compare the narrow task set of assistants with human versatility, using examples from the sorted cards to contrast capabilities.
Common MisconceptionDuring Ethical Scenario Role-Play, students might assume self-driving cars are fully autonomous if they see them in videos.
What to Teach Instead
During Ethical Scenario Role-Play, refer back to the card sort data on automation levels and ask students to recall real test footage they watched before the role-play.
Assessment Ideas
After Card Sort: AI Technologies, provide the exit-ticket with a chess-playing computer, a self-driving car, and a hypothetical robot. Ask students to label each as weak or strong AI and explain their choice using examples from their sorted cards.
After Future AI Mind Maps: Industry Predictions, facilitate a class discussion where students share predictions about job market changes. Require them to cite specific industries and link their ideas to technologies they explored in the mind maps.
During Ethical Scenario Role-Play, present a list of technologies and ask students to identify which use AI and explain the AI’s function in two of them, referring to examples they encountered in the role-play scenarios.
Extensions & Scaffolding
- Challenge: Ask students to research a recent AI policy debate and present a 2-minute summary linking it to their mind map predictions.
- Scaffolding: For the card sort, provide a partially completed set with three obvious weak AI examples to anchor the task.
- Deeper Exploration: Have students design a simple AI system for a school problem and present the data it would need, the algorithm, and its limitations.
Key Vocabulary
| Artificial Intelligence (AI) | The simulation of human intelligence processes by computer systems. These processes include learning, problem-solving, and decision-making. |
| Weak AI (Narrow AI) | AI designed and trained for a specific, limited task, such as voice recognition or playing chess. It cannot perform tasks outside its defined scope. |
| Strong AI (General AI) | A hypothetical type of AI that possesses the ability to understand, learn, and apply intelligence across a wide range of tasks, similar to human cognitive abilities. |
| Machine Learning | A subset of AI that allows systems to automatically learn and improve from experience without being explicitly programmed. It uses algorithms to analyze data and make predictions. |
Suggested Methodologies
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Ethical AI: Privacy and Surveillance
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