This hub helps faculty and teachers use AI tools for lesson planning, explanation design, assessment redesign, feedback support, classroom activity planning, and responsible student guidance.
Tools need teaching purpose
AI tools should not be adopted because they are new. They should be mapped to learning outcomes, student needs, assessment goals, feedback quality, and classroom constraints.
Practical use cases
Teachers can use AI to draft examples, compare explanations, build rubrics, generate formative questions, improve feedback language, plan classroom activities, and prepare differentiated learning support.
Boundaries for faculty use
Faculty should verify accuracy, avoid uploading sensitive student data, disclose AI-assisted material where appropriate, and ensure the final learning design reflects their own academic judgment.
Start with these resources
- Prompt engineering for faculty
- Faculty framework for AI teaching
- Assessment redesign worksheet
- Prompt bank for faculty
Related sessions
For institutions and event organizers
If you are planning a keynote, FDP, workshop, panel, curriculum discussion, or institutional AI readiness program, use the contact page to share audience details and the expected learning outcomes.