Adopting artificial intelligence driven technology in medical education

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH

Interactive Technology and Smart Education Pub Date : 2024-01-29 DOI:10.1108/itse-12-2023-0240

Mohammadhiwa Abdekhoda, Afsaneh Dehnad

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Abstract

Purpose Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical education. Design/methodology/approach This was a descriptive-analytical study in which 163 faculty members from Tabriz University of Medical Sciences were randomly selected by nonprobability sampling technique method. The faculty members’ intention concerning the adoption of AI was assessed by the conceptual path model of task-technology fit (TTF). Findings According to the findings, “technology characteristics,” “task characteristics” and “TTF” showed direct and significant effects on AI adoption in medical education. Moreover, the results showed that the TTF was an appropriate model to explain faculty members’ intentions for adopting AI. The valid proposed model explained 37% of the variance in faulty members’ intentions to adopt AI. Practical implications By presenting a conceptual model, the authors were able to examine faculty members’ intentions and identify the key determining factors in adopting AI in education. The model can help the authorities and policymakers facilitate the adoption of AI in medical education. The findings contribute to the design and implementation of AI-driven technology in education. Originality/value The finding of this study should be considered when successful implementation of AI in education is in progress.

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在医学教育中采用人工智能驱动技术

目的人工智能（AI）是一种不断发展的范式，它给许多研究领域带来了巨大的变化，包括医学教育。然而，要在医学教育中成功采用人工智能，还需要进行更多的调查。本研究旨在确定在医学教育中采用人工智能驱动技术的决定性因素。设计/方法/手段这是一项描述性分析研究，采用非概率抽样技术随机抽取了大不里士医科大学的 163 名教师。研究结果表明，"技术特征"、"任务特征 "和 "TTF "对医学教育中采用人工智能有直接和显著的影响。此外，研究结果表明，TTF 是解释教师采用人工智能意向的合适模型。通过提出一个概念模型，作者能够研究教职员工的意图，并确定在教育中采用人工智能的关键决定因素。该模型可帮助当局和政策制定者促进在医学教育中采用人工智能。原创性/价值在教育领域成功实施人工智能时，应考虑本研究的发现。

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来源期刊

Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.00

自引率

2.30%

发文量

期刊介绍： Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.