LeEtta Schmidt, Evan Fruehauf, Andrew Beman-Cavallaro
{"title":"Becoming a leader in AI literacy instruction by not reinventing the wheel","authors":"LeEtta Schmidt, Evan Fruehauf, Andrew Beman-Cavallaro","doi":"10.1016/j.acalib.2025.103117","DOIUrl":null,"url":null,"abstract":"<div><div>Libraries are at a critical moment to lead in AI literacy, but success doesn't demand starting from scratch. By building on familiar frameworks for information literacy, outreach, and instructional design, libraries can quickly and effectively meet the challenges of generative AI. This article showcases how one research-intensive university library leveraged existing strengths—through AI-focused guides, workshops, grants, and cross-campus partnerships—to embed AI literacy across its academic community. Rather than reinventing the wheel, the library expanded proven methods to support ethical, critical, and informed engagement with AI technologies. This case study offers a practical, scalable model for any library seeking to empower users and stake a leadership role in the rapidly evolving AI landscape.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"51 5","pages":"Article 103117"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Academic Librarianship","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0099133325001132","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Libraries are at a critical moment to lead in AI literacy, but success doesn't demand starting from scratch. By building on familiar frameworks for information literacy, outreach, and instructional design, libraries can quickly and effectively meet the challenges of generative AI. This article showcases how one research-intensive university library leveraged existing strengths—through AI-focused guides, workshops, grants, and cross-campus partnerships—to embed AI literacy across its academic community. Rather than reinventing the wheel, the library expanded proven methods to support ethical, critical, and informed engagement with AI technologies. This case study offers a practical, scalable model for any library seeking to empower users and stake a leadership role in the rapidly evolving AI landscape.
期刊介绍:
The Journal of Academic Librarianship, an international and refereed journal, publishes articles that focus on problems and issues germane to college and university libraries. JAL provides a forum for authors to present research findings and, where applicable, their practical applications and significance; analyze policies, practices, issues, and trends; speculate about the future of academic librarianship; present analytical bibliographic essays and philosophical treatises. JAL also brings to the attention of its readers information about hundreds of new and recently published books in library and information science, management, scholarly communication, and higher education. JAL, in addition, covers management and discipline-based software and information policy developments.