Open Access Article

Title: Unpacking mobile learning in higher vocational education during the COVID-19 pandemic

Authors: Zheng Li; A.Y.M. Atiquil Islam; Jonathan Michael Spector

Addresses: Institute of Vocational and Adult Education, Faculty of Education, East China Normal University, Room No. 615, 3663 North Zhongshan Road Campus, Shanghai 200062, China ' Department of Education Information Technology, East China Normal University 729, Liberal Arts Building, 3663 North Zhongshan Road Campus, Shanghai 200062, China; School of Education, Shanghai International Studies University, No. 1550, Wenxiang Road, Songjiang Dist., Shanghai 201620, China ' Department of Learning Technologies, College of Information, University of North Texas, Denton, TX 76207, USA

Abstract: Mobile learning in higher education has become more popular than ever during the COVID-19 pandemic. However, the presence of mobile learning in Chinese higher vocational education is unexplored. Therefore, the aim of this research is to extend the unified theory of acceptance and use of technology (UTAUT) by incorporating three sub-dimensions of self-efficacy for measuring students' acceptance of mobile learning in Chinese higher vocational education. A total sample of 900 students from higher vocational colleges were selected to participate in this study and their responses were analysed using structural equation modelling to validate the extended UTAUT. The results provide significant evidence of the sub-dimensions of self-efficacy and confirm the validity of extended UTAUT. The results also show that students' effort and performance expectancies, social influence and facilitating condition were directly affected by their self-efficacies to use mobile learning.

Keywords: mobile learning; higher vocational education; UTAUT; structural equation modelling; self-efficacy.

DOI: 10.1504/IJMC.2023.10042533

International Journal of Mobile Communications, 2022 Vol.20 No.2, pp.129 - 149

Received: 13 May 2021
Accepted: 18 Aug 2021

Published online: 14 Mar 2022 *