A BOThersome Challenge: Developing A Framework with Generative AI in Teaching and Learning

This interactive discussion will explore some of the challenges and considerations that faculty are navigating as they reconcile the rapid expansion of generative artificial intelligence tools and the implications for their work, their teaching, and their students.  The session will include opportunities to learn from other faculty, interact with generative AI, evaluate its outputs, and develop some initial approaches to the challenges and opportunities that generative AI represents in higher education.  Participants should come prepared with a willingness to share their use-cases and concerns as well as  laptops to engage with generative AI as part of the session.

Speaker Bio

Lance Eaton is the Director of Faculty Development & Innovation at College Unbound, a part-time instructor at North Shore Community College, and a PhD student at the University of Massachusetts, Boston with a dissertation that focuses on how scholars engage in academic piracy. His work engages with the possibility of digital tools for expanding teaching and learning communities while considering the various deep issues and questions that educational technologies open up for students, faculty, and higher ed as a whole. He has given talks, written about, and presented at conferences on artificial intelligence generative tools in education, academic piracy, open access, OER, open pedagogy, hybrid flexible learning, and digital service-learning. His musings, reflections, and ramblings on AI and Education can be found on his blog: https://aiedusimplified.substack.com/

There will be a cash bar at this event, so please bring money if you would like to enjoy an adult beverage! Snacks will be served as well!