Better Teaching with AI

This section helps educators use AI in course design and teaching preparation while keeping learning outcomes, professional judgment, and student rights in view. Start by deciding what role AI may play in the course or assignment, then move to the relevant workflow.

• Setting course and assignment AI rules provides a four-level policy model, disclosure template, and assignment checklist.
• Worked assessment designs connects three complete briefs with AI rules, rubrics, anchor responses, workload, and independent checks.
• Designing a curriculum explores how AI can support the development of a class curriculum, with learning objectives and topic sequencing.
• Planning lessons demonstrates how to use AI to draft a lesson plan and course activities in alignment with learning goals.
• Creating course materials shows how AI can help generate engaging case studies, slides, or reading lists.
• Adapting learning materials demonstrates reviewed language, chart-description, caption, and translation adaptations that preserve the learning purpose.
• Using course readings and documents explains how to prepare, test, and maintain a source-based activity or assistant.
• Creating exam questions covers how AI can assist in crafting diverse, level-appropriate assessments.
• Creating rubrics discusses how AI can help develop clear, consistent grading rubrics to evaluate student work.
• Evaluating an AI teaching workflow gives a pilot process, comparison measures, stop conditions, and a reusable record.
• Providing feedback offers a privacy-aware workflow for drafting evidence-linked feedback while keeping assessment decisions with the educator.
• Facilitating a teacher workshop provides a two-hour schedule, scenario cards, an answer key, a redesign worksheet, and follow-up.