The Effects of Knowledge, Perception, and Attitude Toward Artificial Intelligence on the Intention to Use AI Among Physical Therapy Students

PURPOSE: This study aimed to analyze the effects of knowledge, perception, and attitude toward artificial intelligence (AI) on the intention to use AI among physical therapy students, providing foundational data for the development of an educational foundation for future clinical AI applications.METHODS: This descriptive survey study was conducted with 155 students enrolled in the physical therapy departments of four universities located in Seoul and Gyeonggi Province.Data were collected using a structured questionnaire and analyzed using independent t-tests, one-way ANOVA, Pearson correlation, and multiple

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Publication Details

Journal
Journal of the Korean Society of Physical Medicine
Published
2025-08-31
DOI
https://doi.org/10.13066/kspm.2025.20.3.131
Primary Topic
Healthcare Education and Workforce Issues
Type
article
Field-Weighted Citation Impact
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article

The Effects of Knowledge, Perception, and Attitude Toward Artificial Intelligence on the Intention to Use AI Among Physical Therapy Students

Han-Suk Lee, Jihye Hwang, Hee Chang Seon
Journal of the Korean Society of Physical Medicine
Healthcare Education and Workforce Issues
article

The Effects of Knowledge, Perception, and Attitude Toward Artificial Intelligence on the Intention to Use AI Among Physical Therapy Students

Han-Suk Lee, Jihye Hwang, Hee Chang Seon
article en

Abstract

PURPOSE: This study aimed to analyze the effects of knowledge, perception, and attitude toward artificial intelligence (AI) on the intention to use AI among physical therapy students, providing foundational data for the development of an educational foundation for future clinical AI applications.METHODS: This descriptive survey study was conducted with 155 students enrolled in the physical therapy departments of four universities located in Seoul and Gyeonggi Province.Data were collected using a structured questionnaire and analyzed using independent t-tests, one-way ANOVA, Pearson correlation, and multiple

Journal of the Korean Society of Physical MedicineVol. 20(3)
Eulji University (KR)
Openalex Percentile: Top 45%
Healthcare Education and Workforce Issues
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