A model for sustainable mobile education beyond the Covid-19 pandemic
Bibliographic Data
| ID | 22166124 |
|---|---|
| Authors | Ahmed Abdulhameed Al Mulhem, Ahmed Al Mulhem (0000-0002-0093-5012, King Faisal University, corresponding author) |
| Year | 2025 |
| Volume | 10 |
| Publication date | 2025-11-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2025.1657635 |
| OpenAlex | W4416676684 |
| Language | EN |
| References cited | 66 |
Mobile learning (ML) was widely adopted during the coronavirus disease 2019 (COVID-19) pandemic, but its sustained use post-pandemic is not guaranteed. This study identifies the factors influencing university students’ intention to continue using ML. Using the Unified Theory of Acceptance and Use of Technology (UTAUT-2) model, data from 445 students at King Faisal University were analyzed via structural equation modeling. The results showed that attitude toward ML was significantly influenced by effort expectancy ( β = 0.620, p < 0.001), performance expectancy ( β = 0.521, p < 0.001), and hedonic motivation ( β = 0.313, p < 0.001). For continuous intention, habit was the strongest predictor ( β = 0.445, p < 0.001), followed by hedonic motivation ( β = 0.471, p < 0.001) and attitude ( β = 0.175, p < 0.05). Performance expectancy, effort expectancy, social influence, and facilitating conditions had no significant direct effects on continuance intention. These findings confirm habit as the cornerstone of post-pandemic ML continuance, highlighting a shift from utilitarian factors to automated use and enjoyment. Post-pandemic ML integration must strategically foster habitual use and enhance enjoyment, moving beyond utility-focused approaches. This study provides evidence-based insights for educational leaders and platform developers to guide ML’s sustainable integration
Continuance · Cornerstone · Expectancy theory · Habit · Life expectancy · Pandemic · Structural equation modeling · Unified theory of acceptance and use of technology · Impact of Technology on Adolescents · Mobile Learning in Education · Technology Adoption and User Behaviour
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| Citation velocity | historical |
|---|---|
| Highly cited | No |