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

Year: 2024

Type: article

Abstract: 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.

Source: Proceedings of the Association for Information Science and Technology

DOI: 10.1002/pra2.1159

Authors: Chun Ru Ko, Ming‐Hsin (Phoebe) Chiu

Institution: National Taiwan Normal University

Language: English

Topic: Library Science and Information Literacy

Subfield: Library and Information Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: bronze

OpenAlex ID: W4403432774

FWCI: 8.614

Cites: 5

Cited by: 7

Related to: 10