Generative AI in Education
UPDATED MARCH 2025
The resources shared here are grounded in our understanding of digital literacy as the ability to use, create, evaluate, and engage critically with digital technologies to complete tasks safely and ethically in professional and civic contexts. We have assembled items that present various perspectives and approaches to teaching in the age of generative AI.
In addition to the teaching-focused materials on this page, we invite you to review the Critical AI Literacy Guide for Faculty (coming soon!) that supports learning about AI - both your own learning and to engage students with. We also invite you to explore the Blackboard-based collection of materials from ongoing digital literacy professional development offerings. This organization is open for self-enrollment and is updated on an ongoing basis.
General Considerations
- Understand how AI works. Take the time to learn more about the basics as well as the range implications.
- Talk to your students. Rather than wondering about each other's expectations and experiences, invite a conversation. In advance of such a conversation, consider the extent to which you already have clarity. How do you expect students to use or not use generative AI? What are your policies and guidance? How can you help students navigate choices in your class and beyond?
- Critical thinking is more important than ever: When should one use AI? When should one not use AI? How should AI output be evaluated? What are the right questions to ask about rapidly evolving new technologies? What assumptions are being made? Who benefits and who is harmed?
- Take an "education first" approach. Helping students learn means providing clear guidance instead of relying on policies and policing. Lean into trust as we are all learners in this space. Such guidance can appear in your syllabus but should accompany assignment instructions, as well. It may very well be that a single syllabus-based policy isn't nuanced enough to address the use (or non-use) of AI as it relates to particular assignment.
- DO NOT rely on products billed as AI detectors. Such software is unreliable at best and problematic on multiple levels.
- There is no one right answer to addressing AI in your teaching, scholarship and work, but reflecting on your own values will inform your next steps in learning.
- Do you plan to require student engagement with third party tools (many of which have terms of use associated with creating accounts) and if so, do students notified in advance and are you prepared to offer assignment completion alternatives?
Teaching and Learning Context
- Bali, M. & Brown, C. (2020). Critical approaches to digital literacy. In Schwartz, M. (Ed.), Critical Digital Literacy Toolkit. Ryerson University.
- Bozkurt, A., Xiao, J., Farrow, R., Bai, J. Y., Nerantzi, C., Moore, S., ... & Asino, T. I. (Eds.). (2024). The manifesto for teaching and learning in a time of generative AI: A critical collective stance to better navigate the future. Open Praxis, 16(4), 487-513.
- AI Alliance (2025) Guide to essential competencies for AI. AI Alliance.
- Wargo, K., & Anderson, B. (2024). Striking a balance: Navigating the ethical dilemmas of AI in higher education. EDUCAUSE Review (Online).
- Deloitte. (2025) Preparing students for an AI-driven workforce and the future of work.
Syllabus Policies & Assignment Guideline Language
- Eaton, L. (2026, February 21). Syllabus Policies for AI Generative Tools. Google Doc.
- Western University of Health Sciences. (2026, January). Padlet collection of university policies. Padlet.
- Center for Teaching & Assessment of Learning. (2025). Considerations for using and addressing advanced automated tools in coursework and assignments. University of Delaware.
- Center for Engaged Pedagogy. (2026). Generative AI and the college classroom. Barnard College.
Assignments
- Brake, J. (2024, August 13). Instead of Integrating AI Into Your Classroom, Do This: Seventeen ideas for teaching for the fall semester. The Absent-Minded Professor.
- Hodges, L. (2025, September 29). Three facets of learning to focus our choices about AI. Scholarly Teacher.
- Mollick, E. (2023, June 12). Assigning AI: Seven Ways of using AI in Class. One Useful Thing.
- Boyd, M. (2025, December 3). Pause before you prompt. The Important Work.
- Dempsey, P. (2026, January 6). Student reflections on AI use doesn’t work. Second Draft.
- Moulton, C. (2025) Analog Inspiration. Google Sheets.
- Darby, F. (2025, July 9). 5 Steps to Update Assignments to Foster Critical Thinking and Authentic Learning in an AI Age, Faculty Focus.
- Bowen, J. (2026, February 15). Teaching with AI resources. WeteachwithAI.com
- MetLAB at Harvard. (2023-2026). AI Pedagogy Project.
- Yee, K., Whittington, K., Doggette, E., & Uttich, L. (2023). ChatGPT assignments to use in your classroom today. UCF Created OER Works.
- Bowen, J. A., & Watson, C. E. (2025). Teaching with AI: A practical guide to a new era of human learning, 2nd Ed.. JHU Press.
- eLearning Technologies. Add Hypothesis-enabled readings to your Blackboard course. IT Knowledge Base. See also: Hypothesis Overview.
Assessment & Academic Integrity
- Centre for Teaching and Learning. Designing authentic assessments. Queens University.
- eLearning Technologies. Blackboard Ultra – Authentic assessment. IT Knowledge Base.
- University Center for Teaching and Learning. (2026, February 6). Encouraging academic integrity. University of Pittsburgh.
- Gallant, T. B., & Rettinger, D. A. (2025). The opposite of cheating: teaching for integrity in the age of AI (Vol. 4). University of Oklahoma Press.
Writing
- Trainor, J. & Walker, T. (2025, May 20). Scaffolding student writing in the age of AI. The Important Work.
- Abadal, L. (2025, November 7). A way to save the essay. Inside Higher Education.
- Warner, John. More Than Words : How to Think about Writing in the Age of AI, Basic Books, 2025.
- Sedita, J. (2025, April). Writing instruction in the age of AI. Keys to Literacy.
Instructor Practices
- Trust, T. (2025, July) When to, and When NOT to, use AI-Generated Media for Teaching and Learning. Google Slides.
- Yee, K., Uttich, L., Main, E., & Giltner, E. (2024). AI hacks for educators. UCF Created OER Works.
Equity Considerations
AI comes with costs. What may appear free (for now) requires extensive resources and generates concerns about equitable access. Some questions to consider:
- What are the sources of data? Who has given permission for their work to be included?
- Does everyone have equal access to tools? Generative AI tools with enhanced features over free versions come with ongoing costs.
- What resources are being used to stand up generative AI? You may be surprised to learn about the environmental impacts.
- If you suspect that a student has used of ChatGPT, for example, to complete an assignment, what can you do? We strongly advise against detection tools which have been shown to be ineffective. Assuming that you have provided students with clear guidance on use of AI tools, the best first step is to have a conversation with the student.
- Two things that we know for certain is that standalone generative AI tools are evolving rapidly and that AI is increasingly becoming embedded into existing technologies (Office365, Zoom) in ways that are obvious or not. How will you keep up and help students make ethical choices?
Additional resources on this topic are included in the Pew FTLC Critical AI Literacy Guide.
Related GVSU Policies and Resources
Artificial Intelligence (AI) at GVSU
Acceptable Use Policy for Public AI Solutions, Information Technology
Academic Misconduct Policies and Procedures, Office of Student Conduct and Conflict Resolution
Social Media and Third Party Tools in Teaching, eLearning Technologies
Writing with Artificial Intelligence and ChatGPT, Supplemental Writing Skills
Writing with Artificial Intelligence and ChatGPT, Department of Writing
Policy on Working With AI-Assisted Writing Tools, Writing Center
OURS Generative AI Policy, Office of Undergraduate Research and Scholarship
Artificial Intelligence use in a Research Project, Thesis, or Dissertation, Graduate Education Policies and Procedures Manual
AI Guidelines for Communicators, University Communications
Protocols and Details Regarding Unit Personnel Meetings (addresses AI tools in the context of personnel actions), Office of the Provost
Teaching Guides From Other Universities
- Butler University. (2024, August 20). Faculty framework for generative artificial intelligence in teaching and learning.
- Center for Equity and Excellence in Teaching and Learning. (2025). Teaching with Generative AI. San Francisco State University.
- Information and Technology Services. Generative AI Resources. University of Michigan.
- Aspenlieder, E. & Sara Fulmer, S. AI Playbook for Teaching and Learning Leaders: A Community Guide. University of Guelph.
Additional Resources
A few thinkers on AI we follow:
- Bryan Alexander, AI, academia, and the Future
- Renée Cummings, University of Virginia
- Cate Denial, Knox College
- Lance Eaton, AI + Education = Simplified
- Timnit Gebru, Distributed AI Research Institute
- Anna Mills, Anna Mill's Substack
- Ethan Mollick, One Useful Thing
- John Warner, The Biblioracle Recommends
- Marc Watkins, Rhetorica