Journals / Current Perspectives in Social Sciences / 2023 / Cilt: 27 Sayı: 2

Students’ Adoption of m-Learning in Higher Education: An Empirical Study

Pages
160–171
Publication Date
2023-06-15
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Examination of these factors will be useful for the design of m-learning applications, understanding the main reasons behind the users’ attitude toward m-learning and promoting the use of m-learning in education.

📌 3 Key Takeaways

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Objective & Hypothesis:Universities have an important role in integrating technology into education; therefore, it is crucial to increase technology use in higher education.
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Key Findings & Data:A questionnaire was employed on 417 undergraduate or postgraduate students to collect data.
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Conclusion & Impact:Examination of these factors will be useful for the design of m-learning applications, understanding the main reasons behind the users’ attitude toward m-learning and promoting the use of m-learning in education.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:MOBILE LEARNING · mobile learning acceptance · technology acceptance

Özet

Universities have an important role in integrating technology into education; therefore, it is crucial to increase technology use in higher education. Technological improvement, especially in mobile technology, has a great impact on education, leading to the shift in educational activities from the web environment to mobile platforms. Since mobile technology is important for education, it is necessary to evaluate how students benefit from the adoption of the mobile learning concept and its systems. Considering the importance of mobile technology in education, this study aimed to reveal the factors affecting students’ intentions toward m-learning. An adoption model was examined by taking the technology acceptance model as a base. A questionnaire was employed on 417 undergraduate or postgraduate students to collect data. Model validation was performed by structural equation modeling. The model revealed the factors that affect students’ acceptance of m-learning as perceived usefulness, technical efficacy, social norm, system features, perceived trust, and innovativeness. Examination of these factors will be useful for the design of m-learning applications, understanding the main reasons behind the users’ attitude toward m-learning and promoting the use of m-learning in education.

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Cite This Article

BAYHAN, N. A., COŞKUNÇAY, D. F. (2023). Students’ Adoption of m-Learning in Higher Education: An Empirical Study. Current Perspectives in Social Sciences, Cilt: 27 Sayı: 2, 160–171. https://ajindex.com/articles/962598

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References (3)

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