美国一流研究型高校图书馆生成式人工智能资源导航研究

摘要/Abstract

摘要：

生成式AI 时代，高校图书馆建设生成式人工智能资源导航尤为重要，也是开展人工智能素养教育的重要方式之一。采用网络调研法与内容分析法，梳理30 所美国一流研究型高校图书馆生成式人工智能资源导航LibGuides 的应用现状，并从基础使用、科学研究、课程教学、评估检测、伦理问题、其他参考资料等分析其生成式人工智能资源导航的内容。根据调研结果，从加快建设生成式人工智能资源导航、持续更新生成式人工智能资源内容、丰富人工智能素养教育的内容与形式、提高图书馆员的人工智能素养与技能等方面，为我国高校图书馆建设生成式人工智能资源导航提供启示。

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.

杜秀秀徐博文储节旺（安徽大学管理学院）. 美国一流研究型高校图书馆生成式人工智能资源导航研究[J]. 图书馆杂志, 2025, 44(407): 68-81.

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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