A Study on AI Digital Competency and the Perceived Need for AI Utilization Education among Physical Therapy Students

Purpose This study aimed to examine AI digital competency and the perceived need for AI utilization education among physical therapy students and to analyze the relationship between the two variables. Methods This crosssectional correlational survey was conducted with 232 physical therapy students at S University using an online survey. Data were analyzed using descriptive statistics and Pearson correlation analysis. Results The mean score for AI digital competency was 3.48±0.57, with communication and collaboration showing the highest score at 3.84±0.62 and digital content creation showing the lowest score at 3.03±0.71. The mean score for the perceived need for AI utilization education was 3.91±0.71. AI digital competency was positively correlated with the perceived need for AI utilization education (r=0.320, p<.001). Conclusion These results suggest the need for systematic educational support to help physical therapy students effectively use AI in majorrelated learning and clinical problemsolving.

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Publication Details

Journal
Journal of Clinical Movement Science in Human
Published
2026-11-06
DOI
https://doi.org/10.17817/jcmsh.2026.30.3.9
Primary Topic
Digital literacy in education
Type
article
Field-Weighted Citation Impact
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article

A Study on AI Digital Competency and the Perceived Need for AI Utilization Education among Physical Therapy Students

Jaehee Lee, Jae-Hyun Kim, Yong-Gu Han, Jeong-Eun Kang et al.
4 links
Journal of Clinical Movement Science in Human
Digital literacy in education
article

A Study on AI Digital Competency and the Perceived Need for AI Utilization Education among Physical Therapy Students

Jaehee Lee, Jae-Hyun Kim, Yong-Gu Han, Jeong-Eun Kang, Jae-Hyun Yoo
article en

Abstract

Purpose This study aimed to examine AI digital competency and the perceived need for AI utilization education among physical therapy students and to analyze the relationship between the two variables. Methods This crosssectional correlational survey was conducted with 232 physical therapy students at S University using an online survey. Data were analyzed using descriptive statistics and Pearson correlation analysis. Results The mean score for AI digital competency was 3.48±0.57, with communication and collaboration showing the highest score at 3.84±0.62 and digital content creation showing the lowest score at 3.03±0.71. The mean score for the perceived need for AI utilization education was 3.91±0.71. AI digital competency was positively correlated with the perceived need for AI utilization education (r=0.320, p<.001). Conclusion These results suggest the need for systematic educational support to help physical therapy students effectively use AI in majorrelated learning and clinical problemsolving.

Journal of Clinical Movement Science in HumanVol. 30(3)
Quality education, Good health and well-being
Openalex Percentile: Top 10%
Digital literacy in education
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