Physics Teachers’ Perspectives on the Use of Learning Management Systems: A Technology Acceptance Model Study in Benguet and Baguio City

Authors

  • Norman D. Patiang Benguet State University

DOI:

https://doi.org/10.55927/ijsmr.v4i9.159

Keywords:

Learning Management System, Physics Education, Technology Acceptance Model, Higher Education, Teacher Technology Acceptance

Abstract

This study examined university physics instructors’ perspectives on LMS use in Benguet and Baguio City through the Technology Acceptance Model (TAM). A quantitative descriptive-correlational design was used with 37 physics instructors from eight higher education institutions selected through convenience sampling. The remaining tested relationships were not statistically significant. The findings position perceived usefulness and behavioral intention as the most consequential correlates of LMS use in this sample. Institutions should therefore pair technical training with discipline-specific demonstrations of LMS value, peer support, and sustained implementation guidance.

References

Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model for e-learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256. https://doi.org/10.1016/j.chb.2015.11.036

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-Maroof, R. A. S., & Al-Emran, M. (2018). Students acceptance of Google Classroom: An exploratory study using PLS-SEM approach. International Journal of Emerging Technologies in Learning, 13(6), 112–123. https://doi.org/10.3991/ijet.v13i06.8275

Al-Nuaimi, M. N., & Al-Emran, M. (2021). Learning management systems and technology acceptance models: A systematic review. Education and Information Technologies, 26, 5499–5533. https://doi.org/10.1007/s10639-021-10513-3

Camilleri, M. A., & Camilleri, A. C. (2022). The acceptance of learning management systems and video conferencing technologies: Lessons learned from COVID-19. Technology, Knowledge and Learning, 27, 1311–1333. https://doi.org/10.1007/s10758-021-09561-y

Cavus, N., Omonayajo, B., & Mutizwa, M. R. (2022). Technology acceptance model and learning management systems: Systematic literature review. International Journal of Interactive Mobile Technologies, 16(23), 109–124. https://doi.org/10.3991/ijim.v16i23.36223

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Fearnley, M. R., & Amora, J. T. (2020). Learning management system adoption in higher education using the extended technology acceptance model. IAFOR Journal of Education, 8(2), 89–106. https://doi.org/10.22492/ije.8.2.05

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864

Kim, J. J., Yoon, Y., & Kim, E.-J. (2021). A comparison of faculty and student acceptance behavior toward learning management systems. International Journal of Environmental Research and Public Health, 18(16), 8570. https://doi.org/10.3390/ijerph18168570

Nazhifah, N., & Fathurohman, A. (2023). Teachers’ perspectives on the learning management system (LMS) in physics subject: A preliminary study. Jurnal Ilmiah Pendidikan Fisika, 7(1), 31–41. https://doi.org/10.20527/jipf.v7i1.7224

Quansah, R. E., & Essiam, C. (2021). The use of learning management system (LMS) Moodle in the midst of COVID-19 pandemic: Students’ perspective. Journal of Educational Technology and Online Learning, 4(3), 418–431. https://doi.org/10.31681/jetol.934730

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/10.1016/j.compedu.2018.09.009

Scherer, R., Siddiq, F., & Tondeur, J. (2020). All the same or different? Revisiting measures of teachers’ technology acceptance. Computers & Education, 143, 103656. https://doi.org/10.1016/j.compedu.2019.103656

Scherer, R., & Teo, T. (2019). Unpacking teachers’ intentions to integrate technology: A meta-analysis. Educational Research Review, 27, 90–109. https://doi.org/10.1016/j.edurev.2019.03.001

Waris, I., & Hameed, I. (2023). Modeling teachers acceptance of learning management system in higher education during COVID-19 pandemic: A developing country perspective. Journal of Public Affairs, 23(1), e2821. https://doi.org/10.1002/pa.2821

Yakubu, M. N., Dasuki, S. I., Abubakar, A. M., & Kah, M. M. O. (2020). Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach. Education and Information Technologies, 25, 3515–3539. https://doi.org/10.1007/s10639-020-10110-w

Published

2026-09-29