Professor's Eight Rules for Teaching in the AI Era
paulnovosad · x · 2026-08-25
Kevin A. Bryan outlines how university teaching must adapt to AI, arguing that the link between performance and knowledge is broken. He proposes eight rules for educators:
- Decide What Should Be Learned Without AI: Explicitly distinguish between core human skills (e.g., derivation) and output-focused tasks (e.g., essay writing) to avoid assigning useless proxy work.
- Teach Better Than the Pre-AI Status Quo: Acknowledge pre-existing issues like slacking and cheating, using AI to raise standards rather than maintaining them.
(The full post details further strategies for exams, classroom interaction, and assignment design.)
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