物理治疗专业学生对人工智能驱动的聊天机器人的接受度：国际横断面研究。

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

作者信息

El-Sobkey Salwa B, Kelini Kerolous Ishak, ElKholy Mahmoud, Abdeldayem Tayseer, Abdallah Mariam, Mohamed Dina Al-Amir, Fawzy Aya, Ahmed Yomna F, El Khatib Ayman, Khalid Hind, Shaik Balkhis Banu, Anjos Ana, Alharbi Mutasim D, Fathy Karim, Takey Khaled

机构信息

Department of Physiotherapy, Fatima College of Health Sciences, Khalifa Bin Zayed Street, Al Maqam, PO Box 24162, Al Ain, Abu Dhabi, United Arab Emirates, 971 509287399.

Faculty of Physical Therapy, Beni-Suef University, Beni-Suef, Egypt.

出版信息

JMIR Med Educ. 2025 Aug 19;11:e76574. doi: 10.2196/76574.

DOI:10.2196/76574

PMID:40829169

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12364448/

Abstract

BACKGROUND

Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) students' acceptance of this technology.

OBJECTIVE

This study aims to assess undergraduate PT students' acceptance of AI-PCs and to identify personal, academic, and technological factors influencing their acceptance.

METHODS

Over a 4-month period, a cross-sectional survey was conducted across 7 PT programs in 5 countries. Eligible participants were national undergraduate PT students. The technology acceptance model (TAM)-based questionnaire was used for capturing perceived usefulness, perceived ease of use, attitude, behavioral intention, and actual behavioral use of AI-PCs. The influence of personal, academic, and technological factors was examined. Descriptive and inferential statistics were conducted.

RESULTS

The mean total TAM score was 3.59 (SD 0.82), indicating moderate acceptance. Of the 1066 participants, 375 (35.2%) showed high acceptance, 650 (60.9%) moderate, and 41 (3.9%) low. Prior experience with artificial intelligence (AI) tools emerged as the strongest predictor of acceptance (β=.43; P<.001), followed by university affiliation (ANOVA P<.001). Cumulative grade point average percentage was positively correlated with TAM score (r=0.135; P<.001) but was not a significant predictor in regression (P=.23). Age (P=.54), sex (P=.56), academic level (P=.26), and current use of AI-PCs (P=.10) were not significant predictors.

CONCLUSIONS

PT students demonstrated moderate acceptance of AI-PCs. Prior technological experience was the strongest predictor, underscoring the importance of early exposure to AI tools. Educational institutions should consider integrating AI technologies to enhance students' familiarity and foster positive attitudes toward their use.

摘要

背景

人工智能驱动的聊天机器人（AI-PCs）越来越多地融入教育环境，包括医疗保健学科。尽管它们有增强学习的潜力，但针对物理治疗（PT）专业学生对这项技术的接受度的研究有限。

目的

本研究旨在评估本科PT专业学生对AI-PCs的接受度，并确定影响其接受度的个人、学术和技术因素。

方法

在4个月的时间里，对5个国家的7个PT项目进行了横断面调查。符合条件的参与者是本国本科PT专业学生。基于技术接受模型（TAM）的问卷用于获取对AI-PCs的感知有用性、感知易用性、态度、行为意向和实际行为使用情况。研究了个人、学术和技术因素的影响。进行了描述性和推断性统计。

结果

TAM总得分的平均值为3.59（标准差0.82），表明接受程度中等。在1066名参与者中，375人（35.2%）表现出高接受度，650人（60.9%）中等，41人（3.9%）低。人工智能（AI）工具的先前经验是接受度的最强预测因素（β = 0.43；P <.001），其次是大学所属关系（方差分析P <.001）。累积平均绩点百分比与TAM得分呈正相关（r = 0.135；P <.001），但在回归分析中不是显著预测因素（P = 0.23）。年龄（P = 0.54）、性别（P = 0.56）、学术水平（P = 0.26）和当前对AI-PCs的使用情况（P = 0.10）均不是显著预测因素。