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How Universities Can Move Forward with Generative AI in Teaching and Learning

Authors :
Doug Ward
Heidi G. Loshbaugh
Alison L. Gibbs
Tim Henkel
Greg Siering
Jim Williamson
Mark Kayser
Source :
Change: The Magazine of Higher Learning. 2024 56(1):47-54.
Publication Year :
2024

Abstract

In this article, the authors posit that generative artificial intelligence offers universities an opportunity to make long-needed structural changes in teaching and learning. Given the complexities of generative AI, faculty need time and resources to learn to use it effectively and to adapt classes in ways that help students approach AI ethically and critically. There must be creative thinking in developing AI-powered learning assistants, adaptive learning systems, faculty assistants, and other tools to improve learning and to aid time-pressed instructors. Recommendations are offered for the implementation of generative AI so universities can focus on inclusiveness, transparency, privacy, and safety with unwavering commitment to centering human interaction and improving teaching and learning quality.

Details

Language :
English
ISSN :
0009-1383 and 1939-9146
Volume :
56
Issue :
1
Database :
ERIC
Journal :
Change: The Magazine of Higher Learning
Publication Type :
Academic Journal
Accession number :
EJ1408469
Document Type :
Journal Articles<br />Reports - Evaluative
Full Text :
https://doi.org/10.1080/00091383.2024.2297635