MOOC-based LMS acceptance among female Madrasah Tsanawiyah teachers: age and educational level in TAM

Journal of Educational and Learning Studies September 01, 2026 Volume 9, Number 1 3 authors

Abstract

This study examines the acceptance of PINTAR, a MOOC-based Learning Management System (LMS) developed by the Indonesian Ministry of Religious Affairs, among female Madrasah Tsanawiyah (MTs) teachers in Padang, West Sumatra. Using an extended Technology Acceptance Model (TAM), the study investigates the relationships among perceived ease of use (PEU), perceived usefulness (PU), attitude toward using (ATU), behavioral intention (BI), and actual use (AU), while examining the moderating roles of age and educational level. A quantitative cross-sectional survey was conducted with 300 female MTs teachers. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results supported all six hypothesized direct relationships. PEU significantly predicted PU (β = 0.663), PU significantly influenced ATU (β = 0.523), PEU significantly influenced ATU (β = 0.294), PU significantly predicted BI (β = 0.650), ATU strongly predicted BI (β = 0.719), and BI significantly predicted AU (β = 0.635, p < 0.001). However, neither educational level nor age significantly moderated the BI–AU relationship. These findings support the applicability of TAM in explaining PINTAR acceptance and highlight perceived usefulness, ease of use, and attitude as important determinants of teachers’ behavioral intention and actual LMS use.

Authors

  1. Rayendra Rayendra

    Universitas Negeri Padang

  2. Nadya Faranda

    Universitas Negeri Padang

  3. Jodi Hardika

    Universitas Negeri Malang

Keywords

MOOC-Based LMSTechnology Acceptance ModelLMS AcceptanceMadrasah Tsanawiyah TeachersTechnology Adoption.

References

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T
  2. Akbar, M., Suhardi, S., Mappeasse, M. Y., & Model, T. A. (2021). ANALISIS PEMANFAATAN SYAM-OK MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL ( TAM ) DI JURUSAN TEKNIK INFORMATIKA. 1, 32–46.
  3. Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”. Education and Information Technologies, 28(11), 15381–15413. https://doi.org/10.1007/s10639-023-11816-3
  4. Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125, 389–412. https://doi.org/https://doi.org/10.1016/j.compedu.2018.06.008
  5. Bond, M. (2020). Schools and emergency remote education during the COVID-19 pandemic : A living rapid systematic review. 15(2), 191–247.
  6. Caire, G. (1967). Becker (Gary S.) - Human capital, A theoretical and empirical analysis with special reference to education. Revue Économique, 132–133. https://www.persee.fr/doc/reco_0035-2764_1967_num_18_1_407753_t1_0132_0000_001
  7. Chao, C. (2019). Factors Determining the Behavioral Intention to Use Mobile Learning : An Application and Extension of the UTAUT Model. 10(July), 1–14. https://doi.org/10.3389/fpsyg.2019.01652
  8. Davis, F. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Accep. MIS Quarterly, 13, 319.
  9. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-navarrete, S., Giannakis, M., Al-debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Fosso, S. (2022). International Journal of Information Management Metaverse beyond the hype : Multidisciplinary perspectives on emerging challenges , opportunities , and agenda for research , practice and policy. International Journal of Information Management, 66(July), 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
  10. Fathema, N., Shannon, D., & Ross, M. (2015). Expanding The Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions. Journal of Online Learning and Teaching , 11(2), 210–233.
  11. Fornell, Claes, & Larcker, David F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  12. Ghozali, I., & Latan, H. (2014). Partial Least Squares Konsep, Metode dan Aplikasi Menggunakan Program WARPPLS 4.0.
  13. Hair, J. F. (2019). When to use and how to report the results of PLS-SEM. 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
  14. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. 115–135. https://doi.org/10.1007/s11747-014-0403-8
  15. Hsiao, C. H., & Yang, C. (2011). The intellectual development of the technology acceptance model: A co-citation analysis. International Journal of Information Management, 31(2), 128–136. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2010.07.003
  16. Indry, S., & Rahmi, U. (2025). PENGARUH PENGGUNAAN APLIKASI DUOLINGO DALAM MENINGKATKAN KETERAMPILAN BERBICARA BAHASA INGGRIS SISWA KELAS VIII SMPN 43 PADANG. 11.
  17. Revels, Janeaya, Tojib, Dewi, & Tsarenko, Yelena. (2010). Understanding Consumer Intention to Use Mobile Services. Australasian Marketing Journal, 18(2), 74–80. https://doi.org/10.1016/j.ausmj.2010.02.002
  18. Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/https://doi.org/10.1016/j.compedu.2018.09.009
  19. Sugiyono, & Sulaiman, E. O. P. (2024). Penerimaan teknologi pendidikan dengan menggunakan. 7.
  20. Unesco. (2023). Global education monitoring report, 2023: technology in education: a tool on whose terms? UNESCO. https://unesdoc.unesco.org/notice?id=p::usmarcdef_0000385723
  21. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward A Unified View1. Management Information Systems Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  22. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. 17(5). https://doi.org/10.17705/1jais.00428