ArticleEducation and information technologies2023
Willingness of university students to continue using e-Learning platforms after compelled adoption of technology: Test of an extended UTAUT model.
Article in Education and information technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Determinants of off-label drug acceptance in pregnancy: insights from an extended UTAUT model.Frontiers in pharmacology · 2026Article
- Are caregivers for older adults satisfied with the care robots in the workplace? A cross-sectional study in China.Frontiers in public health · 2026Article
- Applying UTAUT2 model to investigate acceptance of DeepSeek by Chinese university students for academic use.Frontiers in psychology · 2026Article
- Smart wearables for school-based physical activity promotion: K-12 physical education teachers' continuance intention and adoption pathways.Frontiers in public health · 2026Article
- Students' acceptance of digital media in physical education-a cross-sectional study.Frontiers in sports and active living · 2026Article
- Self-rated benefits and knowledge gain from e-learning: the longitudinal use of an online learning experience at an international medical school.BMC medical education · 2025Article
- Determinants affecting the medical students adoption of mobile learning: extended UTAUT.BMC medical education · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has prompted the adoption of an e-Learning pedagogy. This forced teachers and students to shift to online learning and thus was compelled to adopt online educational technology. Educational institutes have been facing challenges like insufficient infrastructure and a shortage of quality teachers. Online learning can help to address these challenges as online classes can accommodate more students. However, before implementing e-Learning technology management of institutes wants to be sure whether students will adopt new technology. Therefore, the purpose of this study was to unveil which factors are important to adopt new technology if implemented mandatorily. We tested the most popular technology acceptance model the UTAUT to understand students' intentions to continue using the e-Learning system in a mandatory environment. The study used a quantitative approach of research. The participants for this study were selected from a private university in India. The questionnaire for the study was adapted from previous studies. The survey was conducted by sharing an online link while students were attending classes online during the pandemic. Thus, the study utilized a convenience sampling technique. The data were analyzed using structural equation modelling. The findings revealed that the UTAUT model can partially explain the forceful adoption of technology. The study found 'Performance expectancy' and the 'availability of resources' as significant indicators of 'intention for continued usage'. This study recommends educational institutes should ensure students attain academic goals by using e-Learning platforms and ensuring the availability of essential resources to use the e-Learning technology.
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Registered trials
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