Since November 2022, the rise of Generative AI has virtually disrupted academic learning environments significantly. Academic stakeholders including faculty, librarians, and students in higher education have been confronting the transformative effects of generative AI on existing, traditional teaching and learning pedagogical practices. These impacts, which are being felt universally, transcend institutional and geographical boundaries within the academic realm. This paper engages in a discussion about how to enhance excellence in teaching, learning, and research in higher education by leveraging the capabilities and adoption of generative AI. Moreover, to foster generative AI literacy in academia, this paper advocates for institutions of higher education worldwide to establish clear ethical guidelines for the use of generative AI by academic instructors and students. Based on college-level teaching practices at Georgia Southern University and Georgia Southern University Libraries, this paper identifies 5 generative AI tools that can potentially augment college students' critical thinking, decision-making, and problem-solving skills in the United States. Better yet, it explores the adoption of educational technology with regards to the challenges and opportunities that arise from the rapid expansion of generative AI tools designed for academic faculty, librarians, and students in the age of artificial intelligence.

Authors:
Kay Coates, Georgia Southern University, United States
Lili Li, Georgia Southern University, United States

About the Presenter(s)
Kay Coates is currently an Associate Professor & Information Studies Librarian at Georgia Southern University Libraries whose scholarship focuses on information literacy, AI and technology integration, library user experience, and research support.

See this presentation on the full schedule – Thursday Schedule

Bookmark