Investigating students' intention to utilize an e-learning platform in an aviation institution during the COVID-19 pandemic
Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students' intentions toward using an e-lear...
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Veröffentlicht in: | PloS one 2024-12, Vol.19 (12), p.e0308180 |
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Sprache: | eng |
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Zusammenfassung: | Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students' intentions toward using an e-learning platform at a collegiate aviation institution during the pandemic by employing an integrated extended Technology Acceptance Model (TAM) and Seddon's Information System (IS) Success Model. The study involved 503 college students who completed an online questionnaire with 48 items representing 12 constructs. Structural Equation Modeling (SEM) was utilized to analyze the relationships between variables under extended TAM and IS Success Model. The findings revealed that attitude toward use had the strongest influence on behavioral intention, followed by perceived playfulness. Learning outcomes significantly impacted perceived usefulness, along with information quality, perceived ease of use, and system quality. Additionally, learning outcomes had the greatest effect on user satisfaction, followed by perceived usefulness, information quality, and system quality. Perceived usefulness had a more substantial impact on attitude toward use than perceived ease of use. Regarding perceived ease of use, system quality was the most influential factor, followed by computer self-efficacy and course design. The proposed framework enhances understanding of the relationship between technology adoption theory and the IS success model. The study's findings can help policymakers, software developers, and educators improve the e-learning process and maintain the quality of education. |
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ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0308180 |