Design strategies for artificial intelligence based future learning centers in medical universities.

IF 3.2 2区医学 Q1 EDUCATION & EDUCATIONAL RESEARCH BMC Medical Education Pub Date : 2025-01-31 DOI:10.1186/s12909-025-06640-x

Yang Xiaowen, Ding Jingjing, Wang Biao, Zhang Shenzhong, Wu Yana

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Abstract

Background: This study explores the acceptance of artificial intelligence(AI) tools in medical students and its influencing factors, thus providing theoretical basis and practical guidance for the construction of future learning centers in medical universities.

Methods: This study comprehensively applied the unified theory of acceptance and use of technology(UTAUT), expectancy confirmation theory (ECT), and innovation diffusion theory (IDT) to analyze the data through structural equation modeling.

Results: Effort expectancy (EE), facilitating condition (FC), social influence (SI), and satisfaction (SA) significantly influence medical students' continuance intention (CI) to use artificial intelligence tools. Relative advantage (RA) has a significant impact on medical students' satisfaction (SA) with artificial intelligence tools. Personal innovativeness (PI) plays a significant positive moderating role in the relationships between facilitating condition (FC) and continuance intention (CI), as well as between satisfaction (SA) and continuance intention (CI).

Conclusions: The construction of AI-based future learning centers in medical universities should attach importance to providing personalized learning paths, ensuring technical support and training, creating a collaborative and innovative environment, and showcasing the comparative advantage of tools.

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医科大学基于人工智能的未来学习中心的设计策略。

背景：本研究探讨医学生对人工智能（AI）工具的接受程度及其影响因素，为医科大学未来学习中心的建设提供理论依据和实践指导。方法：综合运用技术接受与使用统一理论（UTAUT）、期望确认理论（ECT）和创新扩散理论（IDT），通过结构方程建模对数据进行分析。结果：努力期望（EE）、促进条件（FC）、社会影响（SI）和满意度（SA）显著影响医学生继续使用人工智能工具的意愿（CI）。相对优势（RA）对医学生对人工智能工具的满意度（SA）有显著影响。个人创新（PI）在促进条件（FC）与继续意向（CI）、满意度（SA）与继续意向（CI）之间具有显著的正向调节作用。结论：医学院校基于人工智能的未来学习中心建设应注重提供个性化的学习路径、保障技术支持与培训、营造协同创新的环境、展示工具的比较优势。

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

BMC Medical Education EDUCATION, SCIENTIFIC DISCIPLINES-

CiteScore

4.90

自引率

11.10%

发文量

795

审稿时长

6 months

期刊介绍： BMC Medical Education is an open access journal publishing original peer-reviewed research articles in relation to the training of healthcare professionals, including undergraduate, postgraduate, and continuing education. The journal has a special focus on curriculum development, evaluations of performance, assessment of training needs and evidence-based medicine.