AI Classroom Activities
Ready-to-use activities to develop students' AI literacy and critical thinking
AI classroom activities can support learning, deepen disciplinary reasoning, and prepare students for responsible AI use in professional contexts. The purpose is not to introduce AI for its own sake, but to design activities where student judgment, analysis and reflection remain central and visible.
Important: You are not required to integrate AI into your teaching. Strong Lane 1 (no-AI-use) design remains entirely valid. AI activities are optional tools that may support specific learning goals.
Fundamental Principles
- •Follow your faculty's AI policy and use institutionally approved tools
- •Keep AI visible - students document prompts, outputs, and reflections
- •Reward judgment, not fluency - focus on reasoning and verification
- •Align with learning outcomes - AI should strengthen, not bypass, skills
- •Embed ethical awareness about bias, hallucinations, and transparency
Lane 1: AI as Object of Analysis
In these activities, AI use by students is prohibited. Instead, students analyze AI outputs critically.
1. AI Paper Review
Students evaluate an AI-generated essay using a course rubric.
Learning focus: Standards, argument quality, disciplinary criteria
Setup: Low (reusable) | Scalable: High
2. AI Fact-Checking Challenge
Students verify AI-generated claims using academic sources.
Learning focus: Research literacy, source evaluation
Setup: Low | Scalable: High
3. AI Paraphrase Analysis
Students detect subtle distortions in AI-paraphrased texts.
Learning focus: Precision, integrity, conceptual nuance
Setup: Low | Scalable: High
4. Flipped Essay (Error Detection)
Students identify and correct deliberate conceptual errors in an AI-assisted essay.
Learning focus: Deep content mastery
Setup: Medium | Scalable: Very High
5. AI Bias Analysis
Students analyze whether AI responses exhibit bias or oversimplification.
Learning focus: Ethical reasoning, epistemology
Setup: Low | Scalable: High
Lane 2: AI as Learning Tool
In these activities, students use AI tools while demonstrating critical judgment.
1. Draft Improvement with Justification
Students write a draft, use AI for revision suggestions, and justify which they accept or reject.
Learning focus: Metacognition, editorial judgment
Setup: Low | Scalable: Medium
2. Peer + AI Feedback Triangulation
Students compare peer and AI feedback and evaluate which is more useful.
Learning focus: Feedback literacy
Setup: Low | Scalable: Medium-High
3. AI Debate Partner
Students use AI to simulate opposing views and develop rebuttals.
Learning focus: Argumentation, perspective-taking
Setup: Low | Scalable: High
4. Case Scenario Generator
AI generates discipline-specific scenarios. Students analyze and resolve them.
Learning focus: Application, transfer
Setup: Low | Scalable: High
5. Structured Prompt Design Exercise
Students design prompts to elicit specific types of responses and analyze output quality.
Learning focus: Understanding AI behavior
Setup: Low | Scalable: Medium
Hybrid: Use + Critical Reflection
These activities combine AI use with critical analysis and reflection.
1. AI Idea Seed with Critical Refinement
AI generates initial ideas. Students refine and justify changes.
Learning focus: Creativity + evaluation
2. AI-Supported Authentic Task
Students use AI as professionals might, but document process and verify outputs.
Learning focus: Professional judgment
3. AI Ethics Position Paper
Students analyze ethical implications of AI use in their discipline.
Learning focus: Professional responsibility
Need help or advice? Contact your faculty's assessment specialist via TLC Contact or TLC Central ([email protected]).