Conference Agenda (All times are shown in Mountain Daylight Time (MDT) unless otherwise noted)
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Generative AI and the Future of Information Science Education
Time:
Saturday, 26/Oct/2024:
9:00am - 5:00pm
Location:Imperial Ballroom 2, Third Floor
Presentations
ID: 162 / [Single Presentation of ID 162]: 1 Workshops 8 hours, In-Person Workshop Confirmation 1: I/we acknowledge that all session authors/presenters have read and agreed to the ASIS&T Annual Meeting Policies Topics: Information Science Education; Information; Learning (curriculum design; instructional resources and methods; educational program planning & technologies; e-learning; m-learning; learning analytics; knowledge co-construction, searching as learning) Keywords: AI, generative AI, education, pedagogy, futures
Generative AI and the Future of Information Science Education
Bryce Newell1, Nicholas Proferes2
1University of Oregon, USA; 2Arizona State University, USA
The goal of this workshop is to bring together scholars who are confronting the question of what it means to be an information scientist and educator in the zeitgeist of generative AI and to explore and examine the (potential) futures of information science education. It will be highly interactive, involving all the participants in active forms of brainstorming and collaboration to imagine and conceptualize possible futures and to grapple with how faculty instructors ought to respond to, or even build, these futures to improve information science education in the years to come. The workshop format will be based on an interactive Futures Workshop model (Kensing and Madsen, 1991; Lauttamäki, 2014). This workshop model is specifically useful “when seeking answers to practical questions (e.g. future of an industry) and devising action plans for achieving desired future at a one-day workshop” (Lauttamäki, 2014, p. 2). Through this interactive format, the workshop seeks to build a network of information science scholars confronting issues around AI and education at their own institutions, and to provide a space for researchers who have early projects on understanding AI’s impact on teaching and research to share their work and findings. Additional registration fee applies.
