Librarians’ and Information Science Professionals’ Artificial Intelligence Literacy: An Exploratory Study

This research explores the variables associated with librarians’ and information science professionals’ artificial intelligence (AI) literacy. Understanding these variables is essential for informing the design of LIS education and training programs. By identifying these variables, educators and policymakers can better prepare students to navigate and lead in AI-integrated professional settings. A group of 107 LIS professionals responded to an online quantitative questionnaire. Measures include the AI literacy scale, the personal traits of openness to experience, the cognitive appraisals of threat and challenge, and four sub-scales of AI Device Usage Acceptance (AIDUA). The study analyzed demographic and independent variables associated with LIS professionals’ AI literacy. Willingness, AI usage, and challenge were found to be highly predictive of AI literacy, emphasizing the importance of readiness, hands-on experience, and a proactive approach. Emotions, hedonic motivation, threat, social influence, and openness were moderately predictive, highlighting the roles of positive attitudes, enjoyment, and perceived threats. The findings underscore the need for comprehensive AI literacy development in LIS education, integrating technical and psychological preparation through hands-on experience, attitudinal development, and intermediary skill building. The results suggest that LIS programs should prepare students for their evolving role as AI-literate information professionals.

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Publication Details

Journal
Journal of Education for Library and Information Science
Published
2026-02-28
DOI
https://doi.org/10.3138/jelis-2025-0010
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Librarians’ and Information Science Professionals’ Artificial Intelligence Literacy: An Exploratory Study

Mor Deshen, Noa Aharony
Journal of Education for Library and Information Science
Artificial Intelligence in Healthcare and Education
article

Librarians’ and Information Science Professionals’ Artificial Intelligence Literacy: An Exploratory Study

Mor Deshen, Noa Aharony
article en

Abstract

This research explores the variables associated with librarians’ and information science professionals’ artificial intelligence (AI) literacy. Understanding these variables is essential for informing the design of LIS education and training programs. By identifying these variables, educators and policymakers can better prepare students to navigate and lead in AI-integrated professional settings. A group of 107 LIS professionals responded to an online quantitative questionnaire. Measures include the AI literacy scale, the personal traits of openness to experience, the cognitive appraisals of threat and challenge, and four sub-scales of AI Device Usage Acceptance (AIDUA). The study analyzed demographic and independent variables associated with LIS professionals’ AI literacy. Willingness, AI usage, and challenge were found to be highly predictive of AI literacy, emphasizing the importance of readiness, hands-on experience, and a proactive approach. Emotions, hedonic motivation, threat, social influence, and openness were moderately predictive, highlighting the roles of positive attitudes, enjoyment, and perceived threats. The findings underscore the need for comprehensive AI literacy development in LIS education, integrating technical and psychological preparation through hands-on experience, attitudinal development, and intermediary skill building. The results suggest that LIS programs should prepare students for their evolving role as AI-literate information professionals.

Journal of Education for Library and Information Science
Bar-Ilan University (IL), College of Law and Business (IL), Alzheimer's Association of Israel (IL)
Quality Education
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
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