Strategies for teaching responsible AI use
Review practical strategies for building students' independent judgment while keeping learning goals at the center. Read More
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AI-assisted feedback
Explore five ways to use AI for faster, clearer student feedback while keeping instructor judgment and oversight at the center. Read More
AI-assisted course design
Find practical AI strategies and prompts for planning, reviewing, communicating, assessing, and grading as you develop your course. Read More
Knowledge retention strategies
Explore practical strategies for reinforcing learning across modules, activities, and course sequences. Read More
AI as a research partner
Explore how students can responsibility use AI to support literature review, source discovery, and research guidance. Read More
AI prompts for research
AI prompt templates that help students refine topics, search effectively, and evaluate sources during research. Read More
Why human-centered, AI-integrated assessment design matters
Explore AI brainstorming prompts for designing assessments that are both human-centric and AI-integrated. Read More
An AI vulnerability rubric for your assessments
Evaluate how vulnerable an assessment is to uncritical AI use with a practical rubric you can apply during assignment design or review. Read More
Craft your own AI policy
AI policy prompt templates you can adapt to define expectations, disclosure, and boundaries for student AI use. Read More
Your AI-ready syllabus: Designing policies for transparency, integrity, and student success
Clarify AI use, integrity, and disclosure expectations in your syllabus with principles and examples you can adapt to your course. Read More
