A Study on Generative Artificial Intelligence Resource Guides in Leading American Research University Libraries

Abstract

Abstract:

In the era of generative AI, building generative artificial intelligence resource navigation in university libraries is of paramount importance and serves as one of the key methods for conducting AI literacy education. Using online research methods and content analysis, this study reviews the application status of generative artificial intelligence LibGuides across 30 top research university libraries in the United States. The analysis focuses on how these guides address key areas such as basic usage, scientific research, course instruction, assessment and evaluation, ethical issues, and other reference materials. Based on the findings, the study offers recommendations for Chinese university libraries on building generative AI resource navigation. Key suggestions include accelerating the construction of generative AI resource navigation, continuously updating generative AI resource content, enriching the content and forms of AI literacy education, and enhancing the AI literacy and skills of librarians.

Du Xiuxiu, Xu Bowen, Chu Jiewang (Management School of Anhui University). A Study on Generative Artificial Intelligence Resource Guides in Leading American Research University Libraries[J]. Libraly Journal, 2025, 44(407): 68-81.

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