“Writing is thinking” asserts compositionist John Warner in a 2023 column on AI in Inside Higher Ed. “If text is produced without thinking, that’s not writing. That’s something else.”
If you agree with Warner, it follows that the best way to respond to the rise of generative AI may be to continue or expand the use of common practices in writing pedagogy. As Warner notes, “The route to thinking is rooted in process and experience, rather than forms and artifacts,” and so too are best practices in writing pedagogy—for example, teaching writing as an iterative, interactive process and asking students to regularly reflect on their writing experiences. Process and experience are also central to recent developments in writing pedagogy such as labor-based writing assessment and other alternative approaches to grading.
The resources collected here offer some ideas for teaching about and with generative AI in the BU writing classroom. All of these resources focus on process, experience, and critical thinking. Instructors will learn alongside students, and we’ll revisit these suggestions as the technologies continue to evolve.
Teaching Students About AI-Mediated Writing
Teaching recommendations to help orient students to generative AI and college writing
Teaching Writing with Generative AI
Ideas for using generative AI to teach ideation, research, genre, and more
Faculty Voices
A Conversation on Writing, Research, and Inquiry in an AI World, with Pary Fassihi (video)
“Making Research More Accessible with AI” by Aleks Kasztalska (blog post)
“Why Writing Assignments Still Matter in the Age of AI” by Chris McVey (column)
“The Case for Slowing Down” by Christopher McVey (blog post)
AI-Enhanced Learning with Pary Fassihi (podcast)