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

Rayendra Rayendra; Nadya Faranda; Jodi Hardika

doi:10.32698/03292

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

Rayendra Rayendra⁽¹⁾, Nadya Faranda⁽²⁾, Jodi Hardika⁽³⁾,
(1) Universitas Negeri Padang

Indonesia
(2) Universitas Negeri Padang

Indonesia
(3) Universitas Negeri Malang

Indonesia

Corresponding Author

DOI : https://doi.org/10.32698/03292

Full Text:

Language : en

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.

Keywords

MOOC-Based LMS; Technology Acceptance Model; LMS Acceptance; Madrasah Tsanawiyah Teachers; Technology Adoption.

References

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

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.

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

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

Bond, M. (2020). Schools and emergency remote education during the COVID-19 pandemic : A living rapid systematic review. 15(2), 191–247.

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

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

Davis, F. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Accep. MIS Quarterly, 13, 319.

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

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.

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

Ghozali, I., & Latan, H. (2014). Partial Least Squares Konsep, Metode dan Aplikasi Menggunakan Program WARPPLS 4.0.

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

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

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

Indry, S., & Rahmi, U. (2025). PENGARUH PENGGUNAAN APLIKASI DUOLINGO DALAM MENINGKATKAN KETERAMPILAN BERBICARA BAHASA INGGRIS SISWA KELAS VIII SMPN 43 PADANG. 11.

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

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

Sugiyono, & Sulaiman, E. O. P. (2024). Penerimaan teknologi pendidikan dengan menggunakan. 7.

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

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

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