Research Article
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Year 2026, Volume: 27 Issue: 2 , 157 - 181 , 01.04.2026
https://izlik.org/JA72DU53FC

Abstract

References

  • Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. In Computers in Human Behavior (Vol. 63). Elsevier Ltd. https://doi.org/10.1016/j.chb.2016.05.014
  • Abrahamson, D., Nathan, M. J., Williams-Pierce, C., Walkington, C., Ottmar, E. R., Soto, H., & Alibali, M. W. (2020). The future of embodied design for mathematics teaching and learning. Frontiers in Education, 5, 1–29. https://doi.org/10.3389/feduc.2020.00147
  • Akugizibwe, E., & Ahn, J. Y. (2020). Perspectives for effective integration of e-learning tools in university mathematics instruction for developing countries. Education and Information Technologies, 25(2), 889–903. https://doi.org/10.1007/s10639-019-09995-z
  • Al-Aulamie, A., Mansour, A., Daly, H., & Adjei, O. (2012). The effect of interinsic motivation on learners’ behavioural intention to use e-learning systems. 2012 International Conference on Information Technology Based Higher Education and Training (ITHET), 1–4. IEEE. https://doi.org/10.1109/ ITHET.2012.6246057
  • Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2023). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 31(3), 1293–1308. https://doi.org/10.1080/10494820.2020.1830121

UNDERSTANDING ACTUAL E-LEARNING ADOPTION: A COMPREHENSIVE TAM-BASED INVESTIGATION OF PRE-SERVICE MATHEMATICS TEACHERS

Year 2026, Volume: 27 Issue: 2 , 157 - 181 , 01.04.2026
https://izlik.org/JA72DU53FC

Abstract

This study investigates the determinants of e-learning adoption among pre-service mathematics teachers through an extended Technology Acceptance Model (TAM) framework. Using structural equation modeling with data collected from 508 pre-service mathematics teachers in Indonesia, we examined thirteen hypothesized relationships between system accessibility, enjoyment, perceived ease of use, perceived usefulness, attitude toward using, behavioral intention, and actual system usage. Results revealed that system accessibility (β = 0.535) and enjoyment (β = 0.319) significantly predicted perceived ease of use, explaining 58.9% of its variance. Perceived usefulness was primarily influenced by enjoyment (β = 0.468), perceived ease of use (β = 0.323), and system accessibility (β = 0.165). Attitude toward using was significantly affected by perceived usefulness (β = 0.489) and perceived ease of use (β = 0.265), while behavioral intention was predominantly determined by perceived usefulness (β = 0.469), attitude toward using (β = 0.277), and perceived ease of use (β = 0.106). Notably, the relationship between behavioral intention and actual system usage was borderline significant (β = 0.082, p = 0.050), supporting critique of TAM’s limited ability to predict actual use. These findings highlight the importance of developing accessible, enjoyable mathematics e-learning systems while acknowledging the complex relationship between intention and actual usage behavior.

Ethical Statement

The authors confirm that this manuscript has been prepared in accordance with strict ethical research principles. All data used in this study were obtained through legitimate research practices, conducted with appropriate consent, and in compliance with relevant ethical guidelines. No data or information has been concealed or manipulated in this manuscript. All authors have made significant contributions to this research and have approved the submitted manuscript. There are no relevant conflicts of interest affecting the research or its outcomes.

References

  • Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. In Computers in Human Behavior (Vol. 63). Elsevier Ltd. https://doi.org/10.1016/j.chb.2016.05.014
  • Abrahamson, D., Nathan, M. J., Williams-Pierce, C., Walkington, C., Ottmar, E. R., Soto, H., & Alibali, M. W. (2020). The future of embodied design for mathematics teaching and learning. Frontiers in Education, 5, 1–29. https://doi.org/10.3389/feduc.2020.00147
  • Akugizibwe, E., & Ahn, J. Y. (2020). Perspectives for effective integration of e-learning tools in university mathematics instruction for developing countries. Education and Information Technologies, 25(2), 889–903. https://doi.org/10.1007/s10639-019-09995-z
  • Al-Aulamie, A., Mansour, A., Daly, H., & Adjei, O. (2012). The effect of interinsic motivation on learners’ behavioural intention to use e-learning systems. 2012 International Conference on Information Technology Based Higher Education and Training (ITHET), 1–4. IEEE. https://doi.org/10.1109/ ITHET.2012.6246057
  • Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2023). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 31(3), 1293–1308. https://doi.org/10.1080/10494820.2020.1830121
There are 5 citations in total.

Details

Primary Language English
Subjects Measurement and Evaluation in Education (Other)
Journal Section Research Article
Authors

Ega Gradini 0000-0002-4183-527X

Julia Noviani 0000-0003-4853-0425

Mailizar Mailizar 0000-0003-4084-311X

Submission Date March 14, 2025
Acceptance Date June 26, 2025
Publication Date April 1, 2026
IZ https://izlik.org/JA72DU53FC
Published in Issue Year 2026 Volume: 27 Issue: 2

Cite

APA Gradini, E., Noviani, J., & Mailizar, M. (2026). UNDERSTANDING ACTUAL E-LEARNING ADOPTION: A COMPREHENSIVE TAM-BASED INVESTIGATION OF PRE-SERVICE MATHEMATICS TEACHERS. Turkish Online Journal of Distance Education, 27(2), 157-181. https://izlik.org/JA72DU53FC