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From Precision Education to Precision Medicine: Factors Affecting Medical Staff's Intention to Learn to Use AI Applications in Hospitals
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Lin, Hui-Chen; Tu, Yun-Fang; Hwang, Gwo-Jen; Huang, Hsin – Educational Technology & Society, 2021
Precision medicine has become an essential issue in the medical community as the quality of medical care is being emphasized nowadays. The technological data analysis and predictions made by Artificial Intelligence (AI) technologies have assisted medical staff in designing personalized medicine for patients, making AI technologies an important…
Descriptors: Medical Services, Artificial Intelligence, Allied Health Personnel, Individual Needs
Factors Influencing University Teachers' Use of a Mobile Technology-Enhanced Teaching (MTT) Platform
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Tang, Kai-Yu; Hsiao, Chun-Hua; Tu, Yun-Fang; Hwang, Gwo-Jen; Wang, Youmei – Educational Technology Research and Development, 2021
The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Telecommunications