A Sustainable Quality Model for Mobile Learning in Post-Pandemic Higher Education: A Structural Equation Modeling-Based Investigation

• Main Authors: Al-Abdullatif, A.M (Author), Aladsani, H.K (Author), Al-Dokhny, A.A (Author), Drwish, A.M (Author)
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: actual using (AU); higher education; information system success model (ISSM); mobile learning (ML); Saudi Arabia; structural equation modeling (SEM); technology acceptance model (TAM)
• Online Access: View Fulltext in Publisher; View in Scopus

 As an effect of the digital transformation encountered by higher education institutions in the post-pandemic phase, the current study aims to inspect the factors affecting the actual use of mobile learning among higher education students. A novel hybrid model based on the information system success and technology acceptance models was proposed and tested. The study included 400 undergraduate and postgraduate students from four Saudi universities who responded to a questionnaire consisting of two parts and seven dimensions, with a total of 26 items. For the analysis, a quantitative approach was applied using structural equation modeling. The results displayed that information quality had no impact on the actual use of mobile learning among higher education students. In contrast, other quality factors (system quality, service quality, and satisfaction) and perceived factors (perceived usefulness and perceived ease of use) had a positive effect. Accordingly, this study proposed an integrated framework to assist decision makers at higher education institutions in scaffolding students to develop their educational performance by depending on mobile applications comprising high-quality factors that address their real needs. This would also enable higher education institutions to enhance their digital transformation experience, thus contributing to achieving positive learning sustainability after the pandemic. © 2023 by the authors.