Investigating Digital Learning Materials Acceptance Through Self-Efficacy and the Technology Acceptance Model
DOI:
https://doi.org/10.55927/jeda.v5i3.43Keywords:
Digital learning materials, Self-Efficacy, TAM, Higher EducationAbstract
This study aims to examine the causality of the determinants of intention to use digital learning materials in higher education. A quantitative approach and SEM-PLS analysis techniques were used to measure causality between variables in this study. The sample in this study consisted of 116 respondents from two state universities in Indonesia. The results showed that self-efficacy has a positive influence on the perception of usefulness and perceived ease of use of digital learning materials. Meanwhile, the perception of usefulness does not have a positive impact on attitudes towards using digital learning materials. Meanwhile, attitudes towards using digital learning materials have a positive influence on the intention to use digital learning materials, which can encourage students to use digital learning materials more frequently than conventional ones.
References
Adi, N. H., Nelmira, W., Novrita, S. Z., Gusnita, W., Lubis, A. L., & Riyanda, A. R. (2025). Augmented Reality as an Educational Tool: A Meta-Analysis of Its Impact on Student Performance. TEM Journal, 14(3), 2271 – 2284. https://doi.org/10.18421/TEM143-32
Adtani, R., Neelam, N., Raut, R., Deshpande, A., & Mittal, A. (2025). Embracing ICT in academia: adopting and adapting to the new normal pedagogy. In Global Knowledge, Memory and Communication (Vol. 74, Numbers 3–4, pp. 806–823). Emerald Publishing. https://doi.org/10.1108/GKMC-03-2023-0089
Aleassa, H. M., Ababneh, H. T., Khider, K. H., & Al-Omari, A. (2022). Predicting behavioural intentions using an extended technology acceptance model. International Journal of Knowledge Management Studies, 13(4), 423 – 444. https://doi.org/10.1504/ijkms.2022.126153
Al-Shorman, H. M., Saatchi, S. G., Alanaziand, T., Alzboon, M. S., Alka’awneh, S. M. N., Wahed, M. K. Y. A., thwaib, B. M. S. A., Shelash, S. I., Al-shanableh, N., & Al-Momani, A. M. (2025). Evaluating Artificial Intelligence Integration in Education Through Integrating TAM and S–O–R. In Studies in Computational Intelligence (Vol. 1173, pp. 353–367). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73899-9_28
Cserkó, J., Rajcsányi-Molnár, M., András, I., Benyák, A., Pongrácz, A., & Molnár, G. (2024). The Transformation of Digital Culture and Learning Habits in Higher Education, Digital Methods and Tools. CANDO-EPE 2024 - Proceedings: IEEE 7th International Conference and Workshop Obuda on Electrical and Power Engineering, 109 – 113. https://doi.org/10.1109/CANDO-EPE65072.2024.10772883
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. In MERLOT Journal of Online Learning and Teaching (Vol. 11, Number 2).
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). MULTIVARIATE DATA ANALYSIS EIGHTH EDITION. www.cengage.com/highered
Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665
Hari Rajan, M., Herbert, C., & Polly, P. (2025). A synthetic review of learning theories, elements and virtual environment simulation types to improve learning within higher education. Thinking Skills and Creativity, 56. https://doi.org/10.1016/j.tsc.2024.101732
Huong, P. T., Nhung, N. T. P., & Ngan, T. T. K. (2026). Exploring the landscape of digital learning materials in education: A PRISMA-based review. Multidisciplinary Reviews, 9(9). https://doi.org/10.31893/multirev.2026440
Mohamed, S., & Al-Haderi, S. (2013). The Effect of Self-Efficacy in the Acceptance of Information Technology in the Public Sector. In International Journal of Business and Social Science (Vol. 4, Number 9). www.ijbssnet.com
Muawanah, U., Marini, A., & Sarifah, I. (2024). The interconnection between digital literacy, artificial intelligence, and the use of E-learning applications in enhancing the sustainability of Regional Languages: Evidence from Indonesia. Social Sciences and Humanities Open, 10. https://doi.org/10.1016/j.ssaho.2024.101169
Mustofa, R. H., Kuncoro, T. G., Atmono, D., Hermawan, H. D., & Sukirman. (2025). Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100379
Or, C. (2024). Watch That Attitude! Examining the Role of Attitude in the Technology Acceptance Model through Meta-Analytic Structural Equation Modelling. International Journal of Technology in Education and Science, 8(4), 558 – 582. https://doi.org/10.46328/ijtes.575
Panergayo, A. A. E., & Aliazas, J. V. C. (2021). Students’ behavioral intention to use learning management system: The mediating role of perceived usefulness and ease of use. International Journal of Information and Education Technology, 11(11), 538 – 545. https://doi.org/10.18178/ijiet.2021.11.11.1562
Pillai, R., Sivathanu, B., Metri, B., & Kaushik, N. (2024). Students’ adoption of AI-based teacher-bots (T-bots) for learning in higher education. Information Technology and People, 37(1), 328–355. https://doi.org/10.1108/ITP-02-2021-0152
Romero Rodrigo, M., Sánchez-Martínez, M. C., & Bethencourt Aguilar, A. (2025). Inclusion of digital teaching materials in formal, non-formal and informal educational contexts. Edutec, 2025-December(94), 1–8. https://doi.org/10.21556/edutec.2025.94.4689
Rubiyanti, N., Abu Sujak, A. F., Madiawati, P. N., Nurutami, F., Bt Raja Razali, R. R., & Syahputra. (2023). Perceived Usefulness: A Bibliometric Visualization. 2023 International Conference on Digital Business and Technology Management, ICONDBTM 2023. https://doi.org/10.1109/ICONDBTM59210.2023.10327098
Singh, A., Sharma, S., & Paliwal, M. (2020). Adoption intention and effectiveness of digital collaboration platforms for online learning: the Indian students’ perspective. Interactive Technology and Smart Education, 18(4), 493–514. https://doi.org/10.1108/ITSE-05-2020-0070
Sunley, R., Harding, L., & Jones, J. (2019). Realising creativity in management education: Putting student energy into action. International Journal of Management Education, 17(2), 172–181. https://doi.org/10.1016/j.ijme.2019.02.007
Tran, T. T., & Herzig, C. (2023). Blended case-based learning in a sustainability accounting course: An analysis of student perspectives. Journal of Accounting Education, 63. https://doi.org/10.1016/j.jaccedu.2023.100842
Vaughan-Johnston, T. I., & Jacobson, J. A. (2020). Self-efficacy theory. In The Wiley Encyclopedia of Personality and Individual Differences, Models and Theories. wiley. https://doi.org/10.1002/9781119547143.ch62
Xin, X., Tianlei, S., & Chao, L. (2025). Analyzing Students’ Perceptions of Information Communication Channels as E-Learning Platforms in Higher Education. Profesional de La Informacion, 33(6). https://doi.org/10.3145/epi.2024.ene.0605
