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Session Type: Paper Session
This session explores the multifaceted challenges and opportunities presented by the integration of generative AI in higher education institutions. Presentations address the critical concerns surrounding AI adoption, including its impact on academic integrity and comprehension, while analyzing diverse institutional policies and regional variations. The findings reveal the potential for collaborative learning through AI, as well as effective strategies exemplified by pioneering institutions like the University of Florida. By examining these dimensions, this program seeks to inform educators and policymakers about best practices and adaptable frameworks for successfully navigating the AI frontier in higher education. Attendees will gain insights into the complexities of AI integration and the importance of contextualizing strategies to enhance educational outcomes.
Corpus-Based Investigation of Chinese Higher Education Institutions' (HEIs) “Techno-Pessimism” Toward Generative Artificial Intelligence (Gen-AI) - Zhangxu Kang, University of Michigan
Governing the Bot: A Comprehensive Analysis of Global University AI Policies - Jane A. Loper, University of Kansas; Josh Hayes, University of Kansas; Luke Parker, Australian Catholic University; Alice L. Karakas, Washburn University; Steven H. White, University of Kansas; Heidi L. Hallman, University of Kansas
How Generative Artificial Intelligence Affects Student Collaboration: A Network Analysis of Higher Education Assignments - Yi-Chen Juan, National Yang Ming Chiao Tung University; Yuan-Hsuan Lee, National Tsing Hua University; Jiun-Yu Wu, Southern Methodist University
Strategic Integration of AI in Higher Education: A Case Study of the University of Florida's Pioneering Efforts - Jie Lin, Shanghai Jiao Tong University