How Can Academic Librarians Support Generative <scp>AI</scp> Literacy: An Analysis of Library Guides Using the <scp>ACRL</scp> Information Literacy Framework
ABSTRACT 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.
Authors
- Chun‐Hay Ko (ORCID: https://orcid.org/0000-0001-9180-2196)
- Ming-Hsin Phoebe Chiu
Institutions
- National Taiwan Normal University (TW)
Publication Details
- Journal
- Proceedings of the Association for Information Science and Technology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/pra2.1159
- Citations
- 5
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 3.90