This FDP blueprint is designed for faculty members who need clarity, practice, and confidence in using Generative AI responsibly.
A one-day program should produce usable outputs: an AI-use statement, one redesigned assignment, and a prompt workflow for teaching.
Best-fit audience
- Colleges and universities organizing FDPs.
- Departments beginning AI adoption.
- Faculty teams seeking practical classroom applications.
Why this session is needed
Introductory AI talks create awareness but often do not change classroom practice.
Four-session FDP flow
The day moves from understanding to application.
- Session 1: AI literacy and academic implications.
- Session 2: Teaching preparation and prompt practice.
- Session 3: Assessment redesign and disclosure.
- Session 4: Department action plan and policy discussion.
Suggested session flow
- Collect participant profile before the FDP.
- Use live demonstrations with faculty tasks.
- Ask participants to redesign one assignment.
- Discuss policy and responsible-use boundaries.
- Close with department-wise next steps.
Possible discussion cases
- Faculty create a prompt for examples and misconception checks.
- Participants rewrite an assignment instruction with AI-use rules.
- A department identifies two policy clauses for immediate adoption.
Suggested agenda
- Opening and AI literacy.
- Hands-on prompting.
- Assessment redesign.
- Policy and disclosure.
- Action-plan submission.
Planning notes for organizers
- Do not treat AI output as evidence unless the underlying source has been checked.
- Do not upload confidential student, institutional, or unpublished research data into unapproved tools.
- Keep human judgment visible in reading, teaching, assessment, publication, and policy decisions.
- Disclose meaningful AI assistance when the work, course, journal, or institution requires it.
Organizer questions
Who should invite a session on One-Day FDP Blueprint: Generative AI for Faculty?
This session is most suitable for Faculty, Institutions, Event Organizers when the event needs academic clarity, examples, and a usable post-session output rather than a general technology overview.
What should organizers prepare before the session?
Share the participant profile, available duration, expected format, and one or two real academic problems the session should address. A useful starting point is: Collect participant profile before the FDP.
What output should participants take away?
The session should leave participants with a working note or draft they can revise locally. Typical evidence to retain includes: Opening and AI literacy, Hands-on prompting, Assessment redesign, and Policy and disclosure.
Resources to share with participants
- Generative AI in Education Hub
- Agentic AI Hub
- AI for Research Hub
- Downloads and Templates
- Session Inquiry
Session inquiry note
For a faculty session, research training activity, institutional workshop, or downloadable handout, share the audience profile, intended use, and the level of detail required.