Artificial Intelligence (AI) in education has been a growing field for many decades, and in recent years, we have witnessed a proliferation of applications in both learning and teaching. Numerous related buzzwords have emerged, such as adaptive learning, personalized learning, and mastery learning, to name a few. Additionally, a wide range of emerging educational technologies is now available, including automatic essay grading, real-time student attention monitoring, online student engagement tracking, and, more recently, Large Language Model-based technologies such as ChatGPT.
As educators, it is crucial to understand AI-based technologies to determine whether and how to implement them toward improving learning and teaching. In these FLCs, which met during AY 2023-24, participants investigated the current state of AI in education as a foundation for reflecting on teaching and learning within their disciplines. They also explored opportunities for the appropriate and responsible use of AI. Participants identified opportunities to implement AI in their own courses and explored the potential for interdisciplinary research collaborations.
Members (Online Group):
Elisabeth Arévalo-Guerrero, Facilitator (MLLI)
Karen Chen, Facilitator (IS)
Nandita Dasgupta (ECON)
Abhijit Dutt (CSEE)
Shin Yon Kim (ASIA)
Jeffrey Robinson (TLST @USG)
Aharona Rosenthal (JDST)
Bill Ryan (IS)
Craig Saper (LLC)
Members (In-Person Group):
Margie Burns (ENGL)
Gautom Das (CBEE)
Angela Katenkamp Shiplet (PSYC)
Kathryn Kein (GWST)
Paige Rogers (BIOL)
John Schumacher, Facilitator (SAPH)
Donald Snyder, Facilitator (MCS)
Mohan Sundaram (IS)
Pengwang Zhai (PHYS
Samples of Work:
Slides from the End of Year Celebration from Online Group
Slides from the End of Year Celebration from In-Person Group