About this Event

Numerous learning theories and research into how we build knowledge note the key importance of real-world experiences: putting forth time and effort to arrive at a greater level of expertise. As the use of generative AI to write, code, and automate routine tasks becomes more normalized, determining what aspects of the learning process are enhanced by the capabilities of AI and where guardrails are needed to avoid undercutting meaningful learning is a critical challenge for educators.

Join us for a lively panel discussion where professors from writing, education, and computer science come together to explore this challenge.

Stephanie Smith Budhai, PhD, is a faculty member in the School of Education’s Educational Technology program and the Assistant Chair of the Society for Information Technology and Teacher Education’s (SITE) Information Technology Council. She is a past International Society for Technology in Education (ISTE) awardee for Excellence in Teacher Education and has published 8 books, two of which have been translated into Arabic, and over 70 practitioner articles. Stephanie holds a Ph.D. in Learning Technologies, a M.S. in Information with a specialization in Library and Information Science, as well as several K-12 teaching certifications.

Dr. Christine Cucciarre, an award-winning teacher and writing educator with 25 years of experience, has been instrumental at the University of Delaware for 15 years. She formerly directed the First-Year Writing Program and has trained numerous graduate students, post-docs, and adjunct professors. Currently, Dr. Cucciarre is developing a Writing Enriched Curriculum to integrate more writing across disciplines. Her research focuses on writing pedagogy, teacher training, and writing-to-learn scholarship. Dr. Cucciarre's ongoing efforts continue to shape writing education at UD and beyond, reinforcing her status as a leader in writing instruction and curriculum development.

Keith Decker is an Associate Professor and JPMorgan Chase Fellow in the Department of Computer and Information Sciences, College of Engineering, at the University of Delaware. His research interests include multi-agent systems, computational organization design, distributed planning and scheduling, multi-agent learning, and bioinformatics. He received his BS in applied math from Carnegie Mellon University, his MS in computer science from Rensselaer Polytechnic

This is a virtual event and registration is required. One day prior to the event you will receive an email with details on how to join the session via Zoom. 

This event is part of the AI-focused seminar series held by the University of Delaware AI for Teaching and Learning Working Group For more information and to stay informed about upcoming seminars, visit the AI for Teaching and Learning website.