Some Helpful Resources
2025–2026 Workshop Series on AI and Writing
Offered jointly with the First Year Seminars Program
"Teaching Writing in the Age of AI" (10/22/25) | Slides
"AI for Rubric Design: A Hands-On Workshop" (11/20/25) | Slides
"Can We Still Assign Short Essays in the Age of AI?" (1/28/26) | Slides | Handout
Guides to AI Tools
Ithaka S+R&'s GenAI Product Tracker
A comprehensive guide to the generative AI product landscape for postsecondary research, teaching, and learning activities.
Frameworks for AI Literacy
Maggie Boyd, "Pause Before You Prompt: Empowering Students to Evaluate AI Tools in a Values-Based Framework," The Important Work
A Boston University writing instructor on how she and her colleagues developed a framework for AI literacy.
Marcus Green, "GenAI Use and Ethics Framework: A Pedagogical Model for Responsible AI Integration in K-12 and Higher Education,"
A Bloom's Taxonomy-esque framework for Generative AI.
Natalya Hierholzer, "GenAI Use and Ethics Framework: A Pedagogical Model for Responsible AI Integration in K-12 and Higher Education," Online Learning Consortium
Generative AI reached classrooms faster than any clear policy or pedagogy. Most public guides cite broad values, yet instructors still need step by step plans for lessons, prompt coaching, and academic honesty. The GenAI Use and Ethics Framework meets that need.
Justin Reich, "Stop Pretending You Know How To Teach AI," The Chronicle of Higher Education
Technologies now arrive in schools faster than we can determine how to use or teach with them. AI fluency is a riff on what is more commonly called "AI literacy," and self-styled experts are racing to generate checklists, frameworks, and guidance for the knowledge and skills to productively use AI. When educators rush to publish the skills of technology literacy before they actually have evidence about what those skills are, things can go very poorly.
Research on Student AI Use
Annette Vee, "How are Students Using AI? A Research Toolkit for Faculty": Slides and a Toolkit for faculty who want to conduct research on their students' AI use
Slides and a toolkit of survey/IRB materials shared by a scholar who has conducted her own studies of her students' AI use.
Faculty Share Approaches to Teaching with AI
Matthias Bastian, "NYU professor fights AI cheating with AI-powered oral exams that cost 42 cents per student," The Decoder
An NYU professor ran oral exams using a voice AI agent. The experiment cost $15 for 36 students and revealed not just gaps in student knowledge, but weaknesses in his own teaching.
Igor Chirikov, "How Instructors Regulate AI in College: Evidence from 31,000 Course Syllabi," CSHE Higher Education Working Paper Series
An educational researcher shares the results of a longitudinal study showing how faculty have adapted to offer more specific guidance to students about when they may and may not incorporate AI into their work.
Carlo Rotella, "I'm a Professor. A.I. Has Changed My Classroom, but Not for the Worse," The New York Times
My students' easy access to chatbots forced me to make humanities instruction even more human.
Natasha Singer, "Move Over, Computer Science. Students Are Flocking to New A.I. Majors," The New York Times
At M.I.T., a new program called "artificial intelligence and decision-making" is now the second-most-popular undergraduate major.
Cautionary Tales
Marcel Bucher, "When two years of academic work vanished with a single click," Nature
After turning off ChatGPT's "data consent" option, Marcel Bucher lost the work behind grant applications, teaching materials and publication drafts. Here's what happened next.
Ronald Purser, "AI is Destroying the University and Learning Itself," Current Affairs
Students use AI to write papers, professors use AI to grade them, degrees become meaningless, and tech companies make fortunes. Welcome to the death of higher education.