ArticleScientific reports2024
An integration of expectation confirmation model and information systems success model to explore the factors affecting the continuous intention to utilise virtual classrooms.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Determinants of Learners' Continuance Intention in Informal Video Learning: Evidence from YouTube.Behavioral sciences (Basel, Switzerland) · 2026Article
- Continuance intention to use mobile learning among college students: integrating quality factors and the expectation confirmation model.Scientific reports · 2026Article
- Modeling older adults' continuance intention toward mobile health apps: a dual-path SEM-ANN approach.BMC public health · 2025Article
- An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies.Scientific reports · 2025Article
- Quality factors affecting the continued use of mobile health apps in ethnic minority regions of Southwest China using PLS-SEM and ANN.Scientific reports · 2024Article
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Authors and funding
2 authors.
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Abstract
Virtual classrooms have recently gained significant consideration in educational institutes and universities due to their potential to encourage and support students' learning activities. Although recent research has focused extensively on online learning, virtual classrooms and the factors affecting their continuous use have garnered little attention, especially in Arab Gulf countries such as Saudi Arabia. Thus, this study integrates the expectation confirmation model and the information systems success model to assess the factors affecting students' continuous intention to utilise virtual classrooms in higher education. We examined the effects of information quality, service quality, system quality, confirmation, perceived usefulness, and satisfaction on the continuous intention to utilise virtual classrooms. Data were collected from 441 students and analysed using structural equation modelling "SEM". SEM is a powerful multivariate approach used increasingly in empirical investigation for evaluating and testing casual relationships. The results revealed that the proposed model demonstrated high explanatory power in explaining students' continuous intention to utilise virtual classrooms (R
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