Factors associated with the experience of AI tools for creating health education materials: cross-sectional study using an extended UTAUT model

Social influence and facilitating conditions may be more strongly associated with experience than with perceptions of content quality in this cohort. Enhancing facilitating conditions, social support and targeted training may promote more effective use of AI in health education.

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Publication Details

Journal
BMC Medical Education
Published
2026-01-02
DOI
https://doi.org/10.1186/s12909-025-08499-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors associated with the experience of AI tools for creating health education materials: cross-sectional study using an extended UTAUT model

Ting Luo, Jie Chen, Yingbin Zhang, Sitian Xiong et al.
BMC Medical Education
Artificial Intelligence in Healthcare and Education
article

Factors associated with the experience of AI tools for creating health education materials: cross-sectional study using an extended UTAUT model

Ting Luo, Jie Chen, Yingbin Zhang, Sitian Xiong, Honghui Rong, Chuanfen Zheng, Enyu Lei, Jiashun Zhang, Zhaohan Qin, Fengju Li, Lu Lu, Ling Zhang
article en

Abstract

Social influence and facilitating conditions may be more strongly associated with experience than with perceptions of content quality in this cohort. Enhancing facilitating conditions, social support and targeted training may promote more effective use of AI in health education.

BMC Medical EducationVol. 26(1)
Army Medical University (CN)
Quality Education
Openalex Percentile: Top 98%
Artificial Intelligence in Healthcare and Education
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