This roundtable discussion brings together contrasting perspectives on the role of artificial intelligence in the literature classroom, highlighting both its challenges and possibilities. Kenneth identifies key concerns, including plagiarism, student dependency, and negative mental health effects, and responds with a strict pedagogical approach that emphasizes device-free, print-based learning, in-person open-book exams, and the integration of mindfulness practices to foster metacognition and present-moment awareness. In contrast, Cynthia adopts a more optimistic stance, drawing on her work in computational literary studies to demonstrate how AI can support error detection and enhance analytical processes. She also explores pedagogical strategies that encourage students to develop independent critical thinking before engaging with AI-generated texts as comparative tools. Together, these perspectives invite faculty and administrators to consider balanced, context-sensitive approaches to AI policy and practice in literature classrooms.
This event is hosted by Digital Americanists Society at American Literature Association (ALA).