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Predictors of Mobile Learning Acceptance: A Study Based on the Integration of UTAUT and Mobile Learning Acceptance Measures

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  • Yahaya MUHAMMAD

    (Adamu Augie College of Education, Argungu)

  • Aminu Aliyu

    (Adamu Augie College of Education, Argungu)

Abstract

The purpose of this study was to investigate the predictive factors influencing the acceptance of mobile learning among students in Nigerian Colleges of Education, via the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model and Mobile Learning Acceptance Measures (MLAM) to ascertain their contribution to students’ behavioral intention to accept and use mobile learning. The study employed a survey design with a quantitative methodology, utilizing a sample size of 354 participants. The survey instrument, adapted from previous studies, underwent validation for face and content by experts in Educational Technology, as well as pilot testing which proved its reliability with a Cronbach’s Alpha coefficient of 0.970. Result of the regression analysis shows that the four UTAUT Predictors namely, Performance Expectancy (β =.310, p .05) has no significant effect on Behavioural Intention to accept mobile learning. In contrast to the previous studies enjoyment and efficiency variables were not significant predictors to the regression framework. However, this does not rule out the viability and validity of these variables in mobile learning acceptance studies. Similar studies are therefore needed to confirm their significance. The result of the descriptive analysis also shows that, the mean Behavioural Intention level of male students (Mean=2.98; SD = 0.40) is not significantly higher than that of female students (Mean=3.00; SD = 0.38) and the P= 0.813 > 0.05 which indicates that there is no significant difference between male and female Behavioural Intention towards accepting mobile in this context. These results underscore the critical roles of perceived performance benefits, ease of use expectations, social influences from peers and instructors, and the availability of necessary resources and social support in shaping students’ attitudes towards mobile learning acceptance. In the light of these, the study offers recommendations for theory and practice and indicates the limitations of the study for future research work.

Suggested Citation

  • Yahaya MUHAMMAD & Aminu Aliyu, 2024. "Predictors of Mobile Learning Acceptance: A Study Based on the Integration of UTAUT and Mobile Learning Acceptance Measures," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 3006-3034, March.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:3s:p:3006-3034
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    1. Viswanath Venkatesh & Xiaojun Zhang, 2010. "Unified Theory of Acceptance and Use of Technology: U.S. Vs. China," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 13(1), pages 5-27, January.
    2. Mateus Martins & Josivania Silva Farias & Pedro Henrique Melo Albuquerque & Danilo Santana Pereira, 2018. "Adoption of Technology for Reading Purposes: A Study of E-Books Acceptance," Brazilian Business Review, Fucape Business School, vol. 15(6), pages 568-588, November.
    3. MOHAJAN, Haradhan Kumar, 2017. "Two Criteria For Good Measurements In Research: Validity And Reliability," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 17(4), pages 59-82.
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