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

Tsegay, Samson ORCID: https://orcid.org/0000-0002-2068-242X, Ashraf, Muhammad Azeem, Shabnam, Nadia and Guoqin, Huang (2023) Acceptance of Smart Technologies in Blended Learning: Perspectives of Chinese Medical Students. International Journal of Environmental Research and Public Health, 20 (3). ISSN 1660-4601

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Abstract

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.

Item Type:	Journal Article
Keywords:	smart technologies, blended learning, behavioural intention, medical education, higher education, China
Faculty:	Faculty of Health, Education, Medicine & Social Care
SWORD Depositor:	Symplectic User
Depositing User:	Symplectic User
Date Deposited:	15 Feb 2023 11:34
Last Modified:	15 Feb 2023 11:34
URI:	https://arro.anglia.ac.uk/id/eprint/708252

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