TEACHING WITH AI HANDOUTS
- Complete AI Workshop Slides and Citations (100+ Pages updated Oct 13, 2025)
- AI Literacy Handout (2-pages front and back)
- Faculty Study Guide for TWAI by Notebook LM
- Faculty Study Guide for TWAI by Perplexity
- More Handouts and Templates
ASSIGNMENTS and PROMPTS
- AI Pedagogy Project at Harvard
- Great set of general resources (with lots of useful prompts): https://www.aiforeducation.io/
- Prompts from Levy and Albertos for improving classes and assignments
- Lance Eaton’s Prompt Library for a wide variety of faculty tasks
- Harvard Business Publishing
- UCF Teaching Repository for AI-Infused Learning
- UCF: Open source book with AI activity prompts (2023)
- MLA AI Pedagogy Community
- Claude Prompt LIbrary https://docs.anthropic.com/claude/prompt-library
- Assignments that Include Text Generators from Anna Mills
- More free teaching tools
- Jeanne Beatrix Law (from Kennesaw State University, calls her “authentic first, technical second” approach “rhetorical prompting.” Students start by generating, reflecting and refining ideas before they even settle on a thesis. Here is her custom GPT support bot that uses OER resources: https://chatgpt.com/g/g-KwpWcnhqe-openstax-writing-guide-assistant
- Anna Mills Writing and Research Prompts at MyEssayFeedback
- Papyrus AI Prompts for Writing and Research
- Ethan Mollick Prompts: https://www.moreusefulthings.com/prompts
- AI-Integrated Assignments from Derek Bruff at UVA
- A prompt for creating engaging handouts from Jason Tangen: more of his tools and prompts here
- Prompts for teaching from Cythnia Alby (How to create a case study and much more.)
- Harvard GenAi Library for Teaching and Learning
- Cornell AI in Assignment Design
- Duke AI in Assignment Design
- A Student Guide to Navigating College in the Artificial Intelligence Era
- Here is a very good free general prompt library. Note how simple most of these prompts are.
- 10 best Practices for AI Assignments in Higher Ed
- Revised Blooms Taxonomy that includes generative AI created by Oregon State University
- A prompt library for simulations and career support for students in technical fields. (Over 300 prompts broken down by subject areas: simulated interviews, problem-solving scenarios, work-based simulations, and more.)
PRIVACY
- Here is a massive spreadsheet by Sarah Wood that lists most of the AI models and API tools and scores them for a variety of privacy and environmental issues. It scores them for appropriate use for elementary, middle and high school, but very useful for higher education too.
- European Data Protection Board Report (April 2025) on AI Privacy Risks & Mitigations Large Language Models (LLMs)
- Incogni Report: Gen AI and LLM Data Privacy Ranking 2025 (June 2025)
- Le Chat by Mistral AI is the least privacy-invasive platform, with ChatGPT and Grok following closely behind.
- Platforms developed by the biggest tech companies turned out to be the most privacy invasive, with Meta AI (Meta) being the worst, followed by Gemini (Google) and Copilot (Microsoft). DeepSeek was also indicated as one of the most privacy invasive.
- Gemini, DeepSeek, Pi AI, and Meta AI don’t seem to allow users to opt out of having prompts used to train the models.
- ChatGPT turned out to be the most transparent about whether prompts will be used for model training and had a clear privacy policy.
- All investigated models collect users’ data from “publicly accessible sources, ” which could include personal information.
- Americans for Responsible Innovation AI Transparency Rankings
The ENVIRONMENT
- Jon Ippolito’s App “What Uses More” allows you to compare the environmental footprint of digital tasks.
- From the Penn State Institute of Energy and the Environment: Why AI uses so much energy—and what we can do about it
- Energy and AI from the International Energy Agency (April 2025)
- MIT Technology Report (May 2025): We did the math on AI’s energy footprint. Here’s the story you haven’t heard: The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.
- Adam Masley Response to MIT Report.
AI POLICIES
- Resources and AI policies in your course Stanford syllabus sample language
- Menus, not traffic lights: A different way to think about AI and assessments by Danny Liu.
- A great set of statements, sample syllabi statements and more from Ohio University CTLA
- Sample syllabus AI policy statements from Penn State
- Lance Eaton’s huge list of AI policies or the sortable spreadsheet.
- Sample syllabus policy statements from Northern Illinois University CITL
- Institutional Policies & Guidance collected by Joe Sabado.
- If you have any sort of institutional policy or framework for AI, you could create a customized bot for faculty on your campus to create a syllabus policy specifically for their course but aligned with your campus policy. You could write this yourself, but try this:
- Write code for an interactive interface that will produce a Generative AI syllabus policy for a college course that is both customized for individual faculty needs in that course and aligned with the university or college framework or policy. [Attach or provide a link to the campus policy or framework.] Start by asking faculty a few question about how they want to approach AI usage in their course, and offer the option of uploading a syllabus or learning goals. Offer some options based on the university framework and then provide a draft syllabus for the faculty member.
AI ETHICS
- Duke AI Ethics Learning Toolkit
- Cornell Ethical AI for Teaching and Learning
- Educause AI Ethical Guidelines
- Casey Fiesler has lots of resources and ideas plus this Tech Ethics Syllabi Collection: a broad and ongoing collection of AI ethics course syllabi.
- ETHICAL Framework from California State University Fullerton
- Stanford CS281 (Carlos Guestrin): Ethics of Artificial Intelligence This course site includes the syllabus, assignments, projects and reading list.
- MIT Media Lab (Blakeley H. Payne) AI Ethics Curriculum for Middle School includes hands-on activities, teacher guides, worksheets, and assessments.
- Nine Ethical Considerations from Leon Furze
- AI Ethics in Education: A Literature Review from June 2025
- “Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices” (Dec 2024)
- UNESCO Ethics of AI
- Ethics and Governance of AI from the Berkman Klein Center at Harvard: scroll down for the major reports, academic papers, policy documents, and multimedia resources from their global dialogues series.
- The Alan Turing Institute has a workbook, AI Ethics and Governance in Practice, to support those teaching principles of AI ethics and safety in the of algorithmic systems, with a governance framework particularly designed for public sector applicationsteaching practical implementation of ethics principles
- Oxford Institute for Ethics in AI
- An early textbook is “The Ethical Algorithm” by Michael Kearns & Aaron Roth from Oxford UP.
PROFESSIONAL DEVELOPMENT
- AAC&U Institute on AI, Pedagogy, and the Curriculum online, 8-month program for campuses teams to develop a project or strategy for AI with coaching, peer feedback, and monthly workshops.
- AAC&U Teaching with AI 4 Webinar Series. Four hours with José and Eddie.
- Free self-paced Generative AI 101: Skills for Success from the University System of Georgia with micro-credential.
- Anna Mills list of AI professional development opportunities, podcasts and more.
- Here is faculty framework from Butler University.
- ACUE AI course ($179 for 1-2 hours self-paced)
- An administrative/institutional guide to AI initiatives from the University of Florida.