Research Article
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THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT

Year 2025, , 85 - 100, 01.01.2025
https://doi.org/10.17718/tojde.1445234

Abstract

The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM developed based on self-efficacy and enjoyment is expected to explain the behavior of Generation Z in accepting m-learning. This study uses a survey approach, utilizing PLS-SEM as an analysis tool and primary data collected through questionnaires. Participants in this study were 563 students who used m-learning (on class application) at the Muhammadiyah University of Purwokerto, Indonesia. The results contribute to the formulation of a successful m-learning implementation model for Generation Z. These results provide empirical support indicating that selfefficacy and perceived enjoyment cause them to use m-learning now and in the future. Generation Z, who grew up in the digital era, has a high level of proficiency in using technology. Self-efficacy increases user optimism. They are confident in their ability to complete tasks and solve problems when using m-learning. Enjoyment can increase the belief that m-learning is user-friendly and useful. The results of this study support the theory of self-efficacy which states that user beliefs serve as the best predictors of their behavior in using technology in mobile learning.

Supporting Institution

Directorate of Research, Technology and Community Service - Directorate General of Higher Education, Ministry of Education and Culture of the Republic of Indonesia

Project Number

182/E5/PG.02.00.PL/2023.

Thanks

Thanks to Universitas Muhammadiyah Purwokerto and Directorate of Research, Technology and Community Service - Directorate General of Higher Education, Ministry of Education and Culture of the Republic of Indonesia that funded the research with grant number 182/E5/PG.02.00.PL/2023.

References

  • Abduljawad, M., & Ahmad, A. (2023). An Analysis of Mobile Learning (M-Learning) in Education. Multicultural Education, 9(2), 145–152. https://doi.org/https://doi.org/10.5281/zenodo.7665894
  • Al-Araibi, A. A. M., Mahrin, M. N. bin, & Yusoff, R. C. M. (2019). Technological aspect factors of E-learning readiness in higher education institutions: Delphi technique. Education and Information Technologies, 24(1), 567–590. https://doi.org/10.1007/s10639-018-9780-9
  • Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Journal Pre-proof. Contemporary Educational Psychology, 60. https://doi.org/10.1016/j.cedpsych.2019.101829
  • Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004
  • Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
Year 2025, , 85 - 100, 01.01.2025
https://doi.org/10.17718/tojde.1445234

Abstract

Project Number

182/E5/PG.02.00.PL/2023.

References

  • Abduljawad, M., & Ahmad, A. (2023). An Analysis of Mobile Learning (M-Learning) in Education. Multicultural Education, 9(2), 145–152. https://doi.org/https://doi.org/10.5281/zenodo.7665894
  • Al-Araibi, A. A. M., Mahrin, M. N. bin, & Yusoff, R. C. M. (2019). Technological aspect factors of E-learning readiness in higher education institutions: Delphi technique. Education and Information Technologies, 24(1), 567–590. https://doi.org/10.1007/s10639-018-9780-9
  • Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Journal Pre-proof. Contemporary Educational Psychology, 60. https://doi.org/10.1016/j.cedpsych.2019.101829
  • Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004
  • Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001
There are 5 citations in total.

Details

Primary Language English
Subjects Computer Based Exam Applications, Measurement and Evaluation in Education (Other)
Journal Section Articles
Authors

Azmi Fitriati 0000-0001-7684-4275

Subuh Anggoro 0000-0002-6762-9079

Corrienna Abdul Talib 0000-0003-2230-3670

Tin Lam Toh 0000-0002-9991-3162

Project Number 182/E5/PG.02.00.PL/2023.
Publication Date January 1, 2025
Submission Date April 1, 2024
Acceptance Date September 11, 2024
Published in Issue Year 2025

Cite

APA Fitriati, A., Anggoro, S., Talib, C. A., Toh, T. L. (2025). THE INTENTION OF GENERATION Z TO USE MOBILE LEARNING: THE ROLE OF SELF-EFFICACY AND ENJOYMENT. Turkish Online Journal of Distance Education, 26(1), 85-100. https://doi.org/10.17718/tojde.1445234