Generative Artificial Intelligence Use Among Social Work Students: The Role of Perceived Utility and Knowledge

These findings underscore the necessity to design trainings and curricula that highlight AI's practical utility while imparting knowledge on effective and ethical utilization. By fostering responsible engagement with emerging technologies, those training social workers can prepare future practitioners to navigate an evolving digital landscape while upholding core professional values.

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Publication Details

Journal
Journal of Evidence-Based Social Work
Published
2025-11-29
DOI
https://doi.org/10.1080/26408066.2025.2596186
Primary Topic
Social Work Education and Practice
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative Artificial Intelligence Use Among Social Work Students: The Role of Perceived Utility and Knowledge

Aileen Walker, Daniel J. Gibbs, Hyunjune Lee, Hee Yun Lee et al.
Journal of Evidence-Based Social Work
Social Work Education and Practice
article

Generative Artificial Intelligence Use Among Social Work Students: The Role of Perceived Utility and Knowledge

Aileen Walker, Daniel J. Gibbs, Hyunjune Lee, Hee Yun Lee, Leon Banks
article en

Abstract

These findings underscore the necessity to design trainings and curricula that highlight AI's practical utility while imparting knowledge on effective and ethical utilization. By fostering responsible engagement with emerging technologies, those training social workers can prepare future practitioners to navigate an evolving digital landscape while upholding core professional values.

Journal of Evidence-Based Social WorkVol. 23(1)
University of Georgia (US), University of Alabama (US)
Openalex Percentile: Top 55%
Social Work Education and Practice
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