Posts on AI from the Teaching Matters @ 每日大赛网站 Blog
Creating a Living AI Use Policy for Your Courses
Incorporating AI into Assignments
Making Assignments AI-Resistant
AI Activities for Class Discussion
Metaphors Activity
This activity facilitates a class discussion about the way we think about, talk about, and use Generative AI.听
These three activities, created by听Abram Anders听补苍诲听Emily Dux Speltz,听provide interaction between students, Generative AI, and an instructor in order to understand ethical AI usage.
Data Privacy & Identity ActivityThis activity, created by Jeannie Crowley,听was created for students in either computer science courses or liberal arts courses to help them think about the relationship between data, privacy, and identity.听
This 30-minute lesson plan, created by Jes Class, is designed to begin a conversation about AI with students and to create a class charter around AI usage.
AI Literacy Micro-lessonsA collection of 10-15 minute micro-lessons on AI literacy skills that can be incorporated into any class.听
A six-week framework for lifelong learners to practice sustaining attention and developing cognitive resilience, created by Shae O. Omonijo.
Useful Prompts and Bots
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AI in Education Thought Leaders to Follow
, professor of educational psychology at Arizona State University
A critical AI-enthusiast,听Beghetto advocates creative, student-centered use of AI while warning of its risks. He promotes 鈥減ossibility thinking,鈥 critical engagement, and student agency with GenAI tools in education.
, linguist and professor at the University of Washington
An AI-sceptic specializing in computational linguistics, warning of bias and ethical pitfalls in AI language modules. Bender champions critical literacy around automated systems and exposes the ‘hype’ in educational AI.
, history professor at Swarthmore College
Burke is a cautious critic of AI, focused on the overreliance on writing and assessment models vulnerable to AI-enabled cheating; he sees opportunities if pedagogy is thoughtfully reformed for genuine learning, agency, and creativity.
, AI-E integration consultant; former philosophy professor
Clay actively integrates AI into education, developing workflows and consulting for higher ed. He emphasizes pragmatic adoption–improving efficiency, feedback, and educator support, while building concrete tools.
, technical writing and composition/rhetoric professor at University of Central Oklahoma
Dumin’s repository of AI information contains her ideas and perspectives on a wide range of topics, including incorporating AI into writing courses and ethical concerns around AI usage.
, education consultant and author
A pragmatist in the AI educational space, Furze researches AI’s impact on writing, consulting globally on ethical, practical, and pedagogical issues. He advocates for thoughtful integration balancing creativity, risk, and responsible innovation.
, management professor at the Wharton School of the University of Pennsylvania
Mollick champions ‘co-intelligence’, encouraging educators to experiment, collaborate, and democratize AI in classrooms. He develops interactive tools, with a focus on innovation, accessibility, and transformative pedagogy.
, business and management professor at Vanguard University
Stachowiak promotes asset-based, ethical AI use in higher education. Through her podcast and workshops, she encourages curiosity, digital literacy, and equity via generative AI as a coaching and teaching tool.
, English professor at University of Pittsburgh
Vee’s work explores ‘AI-aware curriculum’, digital literacy, and responsible, transparent assignment design. She advises critical, intentional engagement and flexible pedagogy to adapt writing instruction for the AI era.Annette Vee, English professor at University of Pittsburgh
, director of the Mississippi AI Institute at the University of Mississippi
Watkins is an educator and researcher specializing in the intersection of artificial intelligence and education. He advocates for a balanced approach to integrating AI in education.听
AI in Education Reading List
Beghetto, R.A. (2024).听Uncertainty x Design: Educating for Possible Futures.听Cambridge University Press.
Bowen, J. A. & Watson, C. E. (2024). Teaching with AI: a Practical Guide to a New Era of Human Learning. Johns Hopkins University Press.*
Bender, E.M. & Hanna, A. (2025)听The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want.听Harper.
Buolamwini, Joy (2024)听Unmasking AI: My Mission to Protect What Is Human in a World of Machines.听Penguin Random House.*
Chan, C.K.Y. & Colloton, T. (2024).听Generative AI in Higher Education: The ChatGPT Effect.听Routledge.
Gallant, T.B. & Rettinger, D.A. (2025)听The Opposite of Cheating: Teaching for Integrity in the Age of AI.听University of Oklahoma Press.*
Kapoor, S. & Narayanan, A. (2024)听AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference.听Princeton University Press.
Khan, Salman (2024).听Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing).听Viking.*
Ludwig, L.D. & Zakrajsek, T.D. (2026).听The Science of Learning Meets AI. Routledge.**
Matthews, P. & Gulya, J. (2025).听 Artificial Intelligence, Real Literacy.听Independently published.*
Miller, Matt (2026).听AI Literacy in Any Class.听Ditch That Textbook.
Mollick, E. (2024)听Co-Intelligence: Living and Working with AI.听Portfolio.*
Tyrangiel, Josh (2026).听AI for Good. Simon & Schuster.
Warner, J. (2025)听More Than Words: How to Think About Writing in the Age of AI.听Basic Books.*
Vee, A., Watkins, M., & Bruff, D. (2026)听The Norton Guide to AI-Aware Teaching. W.W. Norton & Company.
*available in CETAL’s reading room
**CETAL’s fall ’26 book club selection, !
CETAL Events
AI Mini-Conference, August 11th, 2026
AI Book Group, Fall 2026 & Spring 2027