Study Guide Lab

AI Learning Strategies

Before diving into studying, let's think about how to use AI well for learning. With your partner, discuss: what are effective ways to use AI that lead to genuine learning? What are ineffective ways — approaches that feel productive but don't actually help you learn?

Discussion (~5 min): Brainstorm with your partner. Think about your own experiences and what you've observed.

Submit (~10 min): Together, submit at least 3 effective strategies and 3 ineffective strategies.

Practice Testing

Self-testing is the gold standard of study techniques. Students who test themselves consistently outperform those who spend the same time re-reading material — even when the re-readers feel more prepared. That false sense of readiness is called the illusion of competence: material feels familiar when you read it, but familiarity isn't the same as being able to produce an answer on an exam.

Pair kickoff (~3 min): Tell your partner what course and topic you're studying for. How are you planning to use AI for practice testing? Think about the strategies we just discussed.

Solo study (~12 min): Work individually with AI using practice testing. Use ChatGPT ⧉, Claude ⧉, or Gemini ⧉ — not the course chat. You'll need to create a share link to your conversation afterward, so start a fresh conversation for this round.

Suggested approach: Share your course materials with AI. Ask it to generate practice exam questions at the level your professor would ask. Answer them without looking at your notes or AI. Then check yourself. Focus on the questions you got wrong — those are your study priorities.

But you could also: ask AI to generate questions in different formats (multiple choice, short answer, explain-a-concept, true/false with justification); have AI role-play as a strict professor giving an oral exam; ask AI to generate questions that target common misconceptions; or try any other approach centered on testing yourself.

Build a Study Aid

Creating organized study materials — concept maps, cheat sheets, summary notes — forces you to make decisions about what matters most and how ideas connect. This deep processing strengthens understanding. But there's a trap: if AI creates the study aid for you, you skip the cognitive work that makes it valuable. A beautiful, clear AI-generated summary can make you feel like you understand the material when you've really just read something that's easy to follow.

Pair kickoff (~3 min): What are your weakest areas from the practice testing round? What kind of study aid would be most useful? How do you plan to keep yourself doing the thinking rather than outsourcing it to AI?

Solo study (~12 min): Work individually with AI to build a study aid for your weakest area. Again, use ChatGPT ⧉, Claude ⧉, or Gemini ⧉ and start a fresh conversation so you can share it afterward.

Suggested approach: Pick your weakest area (revealed by practice testing). Start by outlining the key concepts yourself, then use AI to help you fill in details, check accuracy, and improve the organization. The goal: a study aid where you did the thinking and AI helped with the polish.

But you could also: ask AI to explain a concept three different ways and pick the one that clicks; have AI generate analogies for difficult concepts; create a "misconception sheet" (common wrong answers with corrections); build practice problems with worked solutions; or try any other approach that produces something you'll use to study later.