Critical Thinking with AI • Hist 300

Teaching with AI: Key Roles and Strategies

These slides cover the main points from the readings today, one question:
How do we use AI to increase learning, not just speed outputs?

Overview

Roles AI Can Play in Learning

Tutor

Clarifies content and builds foundational knowledge.

Coach

Provides guidance and support to improve performance.

Reviewer

Offers critique, verification, and targeted feedback.

Teammate

Expands ideation and collaborative problem solving.

Simulator

Creates scenarios and test cases that help knowledge transfer.

Tutor

Guide Learning in Deliberate Steps

Effective prompting is usually sequential, not singular: each step sets up the next one.

  • Pattern: explain → test → challenge → compare → revise → apply.
  • Goal: create deliberate practice and evidence of learning.

Coach

Produce Better Questions

Strong learning workflows move from explanation to diagnosis: what do I still not understand, and what question should I ask next?

  • Pattern: explain → quiz me → identify misunderstanding → re-explain.
  • Goal: students get better at inquiry, not just receiving content.

Reviewer

Turn Feedback Into Better Revision

Strong revision workflows turn AI feedback into a decision: which suggestions are worth using, and why?

  • Pattern: generate critique → weigh objections → revise selectively.
  • Goal: students practice judgment, not just compliance with feedback.

Teammate

Check Claims and Protect the Skill

AI can sound confident without being correct: if the assignment rewards polish alone, students can bypass the learning.

  • Risk: fluency can hide error, overreliance, and weak understanding.
  • Response: require verification and grade decisions, not just prose.

Simulator

Apply, Test, and Teach the Concept

Applied learning moves beyond explanation: students use AI to test, simulate, and teach so understanding has to hold up.

  • Pattern: generate examples → simulate use → teach AI → correct errors.
  • Goal: students move from recognition to transfer and explanation.

Reviewer

Make Student Thinking Visible

The core design question is simple: where does the student have to think, judge, and make the learning visible?

  • Principle: design for cognition, not convenience.
  • Goal: build in decision points where students must judge AI output.

Assignment Handoff →

Now Translate These Lessons Into Your Own Assignment

The question now is practical: how do you turn these principles into an assignment someone else can actually use?

  • Task: build a clear process a classmate can follow.
  • Goal: design for learning, not just a polished final product.