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

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Salwa B El-Sobkey, Kerolous Ishak Kelini, Mahmoud ElKholy, Tayseer Abdeldayem, Mariam Abdallah, Dina Al-Amir Mohamed, Aya Fawzy, Yomna F Ahmed, Ayman El Khatib, Hind Khalid, Balkhis Banu Shaik, Ana Anjos, Mutasim D Alharbi, Karim Fathy, Khaled Takey
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引用次数: 0

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.

Abstract Image

Abstract Image

物理治疗学生对人工智能聊天机器人的接受程度:国际横断面研究。
背景:人工智能驱动的聊天机器人(ai - pc)越来越多地融入教育环境,包括卫生保健学科。尽管它们具有增强学习的潜力,但有限的研究调查了物理治疗(PT)学生对这项技术的接受程度。目的:本研究旨在评估本科PT学生对ai - pc的接受程度,并确定影响其接受程度的个人、学术和技术因素。方法:在4个月的时间里,在5个国家的7个PT项目中进行了横断面调查。符合条件的参与者为全国本科PT学生。采用基于技术接受模型(TAM)的调查问卷,捕捉ai - pc的感知有用性、感知易用性、态度、行为意图和实际行为使用情况。考察了个人因素、学术因素和技术因素的影响。进行了描述性和推断性统计。结果:TAM总分平均3.59分(SD 0.82),接受程度中等。在1066名参与者中,375人(35.2%)表示高接受度,650人(60.9%)表示中等接受度,41人(3.9%)表示低接受度。先前使用人工智能(AI)工具的经验是接受度的最强预测因子(β= 0.43; p结论:PT学生对AI- pc的接受程度中等。先前的技术经验是最强的预测因素,强调了早期接触人工智能工具的重要性。教育机构应考虑整合人工智能技术,以提高学生的熟悉度,并培养对其使用的积极态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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