Generative AI
Generative AI in Teaching & Learning
Generative Artificial Intelligence (or Gen AI for short) refers to 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 offers opportunities to enhance creativity, reflection, and learner engagement when its use is informed, thoughtful, and guided by clearly defined learning outcomes.
CETL provides guidance and resources to support faculty in developing AI literacy, planning the intentional integration of AI in teaching and learning, and fostering critical and ethical AI literacy among our students. Email us at CETL@NDNU.edu to set up a consultation.
Recommended Resources
Bowen, J. and Watson, E., Teaching with AI (Second Edition, 2026) provides an essential introduction to teaching, teaching, and learning with AI and is recommended as a starting point for faculty. The book's companion website, WeTeachwithAI. is a developing resource with useful reference information on AI models, AI prompts, and teaching with AI.
A number of university websites have built out significant resources for faculty on GenAI and a few we recommend are:
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
UT Austin, Generative AI in Teaching and Learning