Generative AI
Generative AI in Teaching & Learning
Generative Artificial Intelligence (or Gen AI for short) refers to the subset of AI technologies that use large-scale models trained on existing data to identify patterns, respond to prompts, and generate new content such as text, images, music, or video. While generative AI presents new challenges for teaching and learning, it also opens incredible new opportunities to enhance creativity, reflection, and learner engagement when AI use is informed, ethical, and guided by clearly defined learning outcomes.
CETL provides guidance and resources to support faculty in GenAI use including: developing faculty AI literacy, using AI tools to support course design and development, the intentional integration of AI in assignments to personalize learning and achieve learning outcomes, and fostering critical and ethical AI literacy of students. Email us at cetl@ndnu.edu or schedule a meeting with a team member to discuss GenAI in your instruction.
GenAI Resources
Bowen, J.A. and Watson, C.E., Teaching with AI (Second Edition, 2025) provides an introduction to thinking, teaching, and learning with AI and is recommended as a starting point for faculty new to the topic of GenAI.
A number of websites on GenAI in teaching and learning may help deepen your AI literacy and provide guidance on teaching/learning in the AI age:
ACUE, 10 Best Practices for AI Assignments in Higher Education
Bowen & Watson, WeTeachwithAI (companion website to Teaching with AI, 2025)
CUNY, AI Academic Hub
Georgetown University, Artificial Intelligence Toolkit
Harvard metaLAB, AI Pedagogy Project
Stanford Teaching Commons, Artificial Intelligence Teaching Guide
UCLA Teaching & Learning Center, Generative AI in Teaching and Learning
University of Sydney, AI for Educators (Canvas course)