Artificial intelligence is a powerful teaching tool for instructors, not a replacement. Engineering curricula can incorporate AI to promote high-quality teaching practices of feedback, personalization, and assessment. Drs. Tracy Hammond, Debra Fowler, Juan Garza, and Hillary Merzdorf discussed ways of developing pedagogy, policies, and resources that leverages AI tools in the engineering classroom, with strategies for implementation and effective decision-making. Here is a copy of the presentation and some additional resources.
Artificial Intelligence in Learning and Education Committee Efforts Presentation PDF (Hammond, T., Fowler, D., Garza, J., & Merzdorf, H.)
Generative artificial intelligence and engineering education (Johri, A., Katz, A. S., Qadir, J., & Hingle, A. (2023). Generative artificial intelligence and engineering education. Journal of Engineering Education.)
The Advent of Generative Language Models in Medical Education (Karabacak, M., Ozkara, B. B., Margetis, K., Wintermark, M., & Bisdas, S. (2023). The Advent of Generative Language Models in Medical Education. JMIR Medical Education, 9, e48163.)
Use of Artificial Intelligence in POLS 207 PDF
White Paper on Generative AI PDF
Respond to Generative AI Webpage from Texas A&M’s Center for Teaching Excellence
Global Research Alliance for AI in Learning and Education (GRAILE) Upcoming Conference