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Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students

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journal contribution
posted on 2023-08-30, 20:27 authored by Samson Tsegay, Muhammad Azeem Ashraf, Nadia Shabnam, Huang Guoqin
Smart technologies are essential in improving higher education teaching and learning. The present study explores the factors that influence students’ behavioural intentions to adopt and use smart technologies in blended learning. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) model, a survey of 305 students was conducted to collect data. A structural equation model was applied to analyse the data. The findings show that adopting smart technologies requires appropriate social context and organizational support. Moreover, the data indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and habit are vital in determining students’ behavioural intention to use smart technologies. However, facilitating conditions and price value were found to have no significant impact on the students’ behavioural intention to use smart technologies. The study contributes to a better understanding of the nexus of blended learning and smart technologies, thus improving students’ experiences in blended learning settings.

History

Refereed

  • Yes

Volume

20

Issue number

3

Publication title

International Journal of Environmental Research and Public Health

ISSN

1660-4601

Publisher

MDPI

File version

  • Accepted version

Language

  • eng

Legacy posted date

2023-02-15

Legacy creation date

2023-02-15

Legacy Faculty/School/Department

Faculty of Health, Education, Medicine & Social Care

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