Teaching and Learning with AI

These guides are written for educators designing student learning experiences. They cover when AI should remain outside an assessment, when it can support practice, and how students can learn to question rather than merely accept its outputs.

• Building AI competencies provides a progressive sequence for moving from foundations to responsible, critical application.
• Learning assessment explores ways of assessing student learning in the age of AI.
• Simulations shows how to use AI to create simulations and role-play learning activities.
• AI as a tutor explains how students can use AI chatbots as personalized tutors.
• Evaluating AI outputs provides a framework for teaching students to critically evaluate AI responses.
• AI-assisted writing covers strategies for integrating AI into writing instruction while preserving student thinking.

Before requiring any tool, set clear course and assignment AI rules, check institutional approval, and provide an equivalent route for students who cannot use it.