How Can Academic Librarians Support Generative AI Literacy: An Analysis of Library Guides Using the ACRL Information Literacy Framework

被引：1

作者：

Ko, Chun Ru ^{[1
]}

Chiu, Ming-Hsin ^{[1
]}

机构：

[1] National Taiwan Normal University, Taiwan

来源：

Proceedings of the Association for Information Science and Technology | 2024年 / 61卷 / 01期

关键词：

Academic library; AI literacy; Generative AI; Information literacy; Library guides;

D O I：

10.1002/pra2.1159

中图分类号：

学科分类号：

摘要：

This poster investigates how ACRL award-winning libraries address generative AI literacy in their libguides. Using the ACRL “Framework for Information Literacy for Higher Education,” we analyzed newly created guides from 28 libraries. We found that this framework could serve as a foundation for AI literacy. The coding scheme developed from this analysis can be used as a reference for librarians when planning instruction or creating libguides. In addition, we identified common strategies and literacy components that librarians emphasize at this stage. Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.

引用

页码：977 / 979

页数：2

共 6 条

[1]

Information literacy framework for higher education, (2015)

[2]

Duffy B., Maluski K., Levitan G., Framing the Guides: Transforming LibGuides Creation through Conceptual Integration with the ACRL Framework, Envisioning the Framework: A Graphic Guide to Information Literacy, pp. 23-41, (2021)

[3]

Gartner Experts Answer the Top Generative AI Questions for Your Enterprise, (2023)

[4]

Grafstein A., Information Literacy and Critical Thinking. In Pathways into Information Literacy and Communities of Practice (pp. 3-28), (2017)

[5]

James A.B., Filgo E.H., Where does ChatGPT fit into the Framework for Information Literacy? The possibilities and problems of AI in library instruction, College & Research Libraries News, 84, 9, pp. 334-341, (2023)

[6]

Miao F., Giannini S., Holmes W., Guidance for generative AI in Education and research, UNESCO., (2023)

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