Search

Gemini:  ​Can you suggest general strategies for assignments that require students do the work and not just do it in AI

Prompt:
Can you suggest general strategies for assignments that require students do the work and not just do it in AI

Gemini's Response:
Absolutely! Here are some general strategies to design assignments that emphasize student effort and minimize the potential for over-reliance on AI tools:
Strategies Focusing on Process
  • Reflective Components: Require students to include a reflection of their process – including challenges, breakthroughs, choices made, and the role AI played (if any). This makes it harder to simply rely on AI output.
  • Show Your Work: Ask students to document their thought process. This could involve written explanations, brainstorming notes, sketches, mind maps, or outlines.
  • Drafts and Revisions: Use multiple drafts, emphasizing revision based on instructor or peer feedback. This shows active engagement with ideas rather than AI-generated final products.
  • Presentations with Q&A: Require students to present their findings and be prepared to answer in-depth questions, demonstrating deeper understanding beyond what an AI might provide.
Strategies Focusing on Creativity and Originality
  • Personal Experiences and Perspectives: Design tasks requiring students to connect the material to their own lives, opinions, or unique experiences. AI cannot replicate this personal touch.
  • Local, Specific Context: Tasks based on local community issues or hyper-specific prompts are less likely to have ready-made AI answers.
  • Problem-Solving: Set open-ended problems with multiple solutions where students must justify their approach. AI may provide a solution, but not the argumentation behind it.
  • Creative Expression: Incorporate visual, artistic, or performance-based elements into assessments. AI struggles to replicate the nuances of human creativity.expand_more
Strategies Emphasizing Critical Thinking
  • Source Analysis: Have students evaluate the credibility, reliability, and perspective of sources, including those potentially produced by AI.
  • Comparison and Synthesis: Ask students to compare and contrast multiple sources, identifying discrepancies and forming their own arguments.
  • Metacognitive Questions: Have students reflect: "What is my own understanding separate from what the AI told me?" "How did I add value to this work?"
  • Identifying Bias: Tasks where students analyze AI outputs or datasets for potential biases or ethical concerns.
Additional Tips
  • Vary Assessment Types: Use a mix of written work, presentations, projects, and in-class discussions. This makes it harder for students to rely solely on AI text generators.
  • Time-Sensitive Tasks: In-class assignments with a time limit make it difficult to finesse large blocks of AI-generated text.
  • Embrace the Change: Use the presence of AI as a teaching tool. Analyze AI responses with students, identifying strengths and weaknesses, and discuss how to go beyond what AI can generate.
Important Note: No strategy is foolproof. Stay up-to-date on new AI capabilities, maintain open dialogue with your students about ethical AI use, and be willing to adapt as this technology evolves.

Responses from other AI models: