Modeling the Influence of Digital Literacy and ICT Competency on Perceived Educational Quality in Cambodian Public Universities: A Structural Equation Modeling Approach
Authors
School of Business and Management, Lincoln University College, Selangor (Malaysia)
School of Business and Management, Lincoln University College (Malaysia)
Article Information
DOI: 10.51244/IJRSI.2025.120800267
Subject Category: Education
Volume/Issue: 12/9 | Page No: 2987-2996
Publication Timeline
Submitted: 2025-09-08
Accepted: 2025-09-17
Published: 2025-10-04
Abstract
This study investigates the influence of digital literacy and ICT competency on perceived educational quality in Cambodian public universities using a structural equation modeling (SEM) approach. A quantitative research design was employed, with data collected through 306 valid survey responses from students across five public universities. Measurement and structural models were assessed using SmartPLS 3.0, confirming strong reliability, validity, and model fit. The findings reveal that both digital literacy and ICT competency have significant positive effects on educational quality, with digital literacy exerting a stronger impact. Specifically, digital literacy demonstrated a moderate effect size (f² = 0.239), while ICT competency showed a smaller yet meaningful effect (f² = 0.079). Together, the predictors explained 26.4% of the variance in perceived educational quality. These results underscore the importance of prioritizing digital literacy development alongside ICT competency to enhance student engagement, teaching effectiveness, and overall educational outcomes. The study contributes empirical evidence from the Cambodian higher education context and offers practical insights for policymakers and university leaders to strengthen digital integration strategies. Limitations include the study’s focus on selected universities and its cross-sectional design; future research should adopt longitudinal approaches and broader samples to capture long-term impacts.
Keywords
Technology Integration, Digital Literacy, ICT Competency, Digital Infrastructure, Cambodian Universities
Downloads
References
1. A Erkan. (2019). Impact of Using Technology on Teacher-Student Communication/Interaction: Improve Students Learning. World Journal of Education, 9(4). https://doi.org/10.5430/wje.v9n4p30 [Google Scholar] [Crossref]
2. Abbas, Q., Hussain, S., & Rasool, S. (2019). Digital Literacy Effect on the Academic Performance of Students at Higher Education Level in Pakistan. Global Social Sciences Review, IV(I), 108–116. https://doi.org/10.31703/GSSR.2019(IV-I).14 [Google Scholar] [Crossref]
3. Chhom, C., & Kep, B. (2022). Undergraduate Students in the University of Cambodia. Cambodian Journal of Humanities and Social Sciences, 1(1), 16–36. https://cjhss-journal.com/storage/issues/January2024/pCJeT5pTWDQp6UUvn3RO.pdf [Google Scholar] [Crossref]
4. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences Second Edition (2nd ed). Routledge. https://doi.org/10.4324/9780203771587 [Google Scholar] [Crossref]
5. Firmannandya, A., Pamuji, E., Arianto, D., Norhabiba, F., & Wahyuni, J. (2023). The role of digital literacy in realizing learning quality in education units. International Joint Conference on Arts and Humanities, 1697–1705. https://doi.org/10.2991/978-2-38476-152-4_170 [Google Scholar] [Crossref]
6. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313 [Google Scholar] [Crossref]
7. Hair, J. F. ., Hult, G. T. M. ., Ringle, C. M. ., & Sarstedt, Marko. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed). Sage. https://eli.johogo.com/Class/CCU/SEM/_A%20Primer%20on%20Partial%20Least%20Squares%20Structural%20Equation%20Modeling_Hair.pdf [Google Scholar] [Crossref]
8. Hanaysha, J., Shriedeh, F., & M In’airat. (2023). Impact of classroom environment, teacher competency, information and communication technology resources, and university facilities on student engagement. International Journal of Information Management Data Insights. https://www.sciencedirect.com/science/article/pii/S2667096823000356 [Google Scholar] [Crossref]
9. Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management and Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382/FULL/PDF [Google Scholar] [Crossref]
10. Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28(2), 565–580. https://doi.org/10.1007/S00180-012-0317-1 [Google Scholar] [Crossref]
11. Hoy, W., & Adams, C. (2015). Quantitative research in education: A primer. SAGE Publications. https://books.google.com/books?hl=en&lr=&id=hI87CgAAQBAJ&oi=fnd&pg=PP1&dq=Quantitative+Research+in+Education:+A+Primer+by+Wayne+K.+Hoy,+published+in+2010+by+SAGE+Publications&ots=Y0krpO-ZHz&sig=1GcDRuctILF7p2qw9ZxQ97rkRp4 [Google Scholar] [Crossref]
12. Hu, L., a, P. B.-S. equation modeling:, & 1999, undefined. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Taylor & FrancisL Hu, PM BentlerStructural Equation Modeling: A Multidisciplinary Journal, 1999•Taylor & Francis, 6(1), 1–55. https://doi.org/10.1080/10705519909540118 [Google Scholar] [Crossref]
13. Iwadi, I., Ali, D., & Jabari, M. (2024). Artificial Intelligence Techniques and Their Role in Enhancing the Competitive Advantage of Palestinian Schools. Palestine Ahliya University Journal for Research and Studies, 3. https://www.academia.edu/download/117195138/Artificial_Intelligence_Techniques_and_Their_Role_in_Enhancing_the.pdf [Google Scholar] [Crossref]
14. JC Nunnally. (1978). An overview of psychological measurement. In Springer. Springer US. https://doi.org/10.1007/978-1-4684-2490-4_4 [Google Scholar] [Crossref]
15. Jing, T., & Abbas Ali, D. (2024). THE INFLUENCE OF CRM AND ORGANIZATIONAL AGILITY ON CAREER OUTCOMES: A STUDY IN JIANGXI HIGHER EDUCATION INSTITUTIONS. Globusedujournal.InT Jing, DA Aliglobusedujournal.In. https://doi.org/10.46360/globus.edu.220241018 [Google Scholar] [Crossref]
16. Jing, T., & DA Ali. (2024). Exploring The Relationship Between Faculty Engagement And Institutional Performance: A Case Study Approach In Jiangxi’s Universities. Sci-Arch.OrgT Jing, DA AliSciences of Conservation and Archaeology, 2024•sci-Arch.Org. https://doi.org/10.48141/sci-arch-37.2.24.56 [Google Scholar] [Crossref]
17. Khlaif, Z., Technology, S. S.-, Education, P. and, & 2022, undefined. (2022). Exploring the factors influencing mobile technology integration in higher education. Taylor & FrancisZN Khlaif, S SalhaTechnology, Pedagogy and Education, 2022•Taylor & Francis, 31(3), 347–362. https://doi.org/10.1080/1475939X.2022.2052949 [Google Scholar] [Crossref]
18. Krejcie, R., & DW Morgan. (1970). Determining sample size for research activities. Journals.Sagepub, 30(3), 607–610. https://doi.org/10.1177/001316447003000308 [Google Scholar] [Crossref]
19. Lawrence Neuman, W. (2014). Social Research Methods: Qualitative and Quantitative Approaches W. Lawrence Neuman Seventh Edition. www.pearsoned.co.uk [Google Scholar] [Crossref]
20. MoEYS Cambodia. (2024). KINGDOM OF CAMBODIA NATION RELIGION KING. [Google Scholar] [Crossref]
21. Peng, Z., & Ali, D. (2025). Leadership and Career Planning in Higher Education: A Critical Review of Their Impact on Student Success. An International Journal of Management, 14(2). https://doi.org/10.46360/cosmos.mgt.420251007 [Google Scholar] [Crossref]
22. R Likert. (1932). A technique for the measurement of attitudes. Psycnet.Apa.OrgR LikertArchives of Psychology, 1932•psycnet.Apa.Org. https://psycnet.apa.org/record/1933-01885-001/ [Google Scholar] [Crossref]
23. Ravy Hun, & S Kinya. (2019). Cambodian Teacher Educators’ Attitudes towards and Competence to Use Information and Communication Technologies (ICT) in Education. Jstage.Jst.Go.Jp 日本科学教育学会年会論文集 43. https://www.jstage.jst.go.jp/article/jssep/43/0/43_598/_article/-char/ja/ [Google Scholar] [Crossref]
24. S Mardiana. (2020). Modifying research onion for information systems research. Solid State Technology,. https://www.researchgate.net/profile/Siti-Mardiana/publication/359542575_Modifying_Research_Onion_for_Information_Systems_Research/links/62432dc07931cc7ccf033406/Modifying-Research-Onion-for-Information-Systems-Research.pdf [Google Scholar] [Crossref]
25. Saravanakumar, A. R. (2018). Role of ICT on Enhancing Quality of Education. International Journal of Innovative Science and Research Technology, 3. www.ijisrt.com717 [Google Scholar] [Crossref]
26. SU, X., & Ali, D. (2024). Education Level And Experience Moderates The Effects Of Gender Discrimination On Employee Compensation At Taizhou Universities. Frontiers in Health Informatics, 13(8), p3501. [Google Scholar] [Crossref]
27. Teo, T. (2008). Pre-service teachers’ attitudes towards computer use: A Singapore survey. Australasian Journal of Educational Technology, 24(4), 413–424. https://doi.org/10.14742/AJET.1201 [Google Scholar] [Crossref]
28. Tokareva, E., Malysheva, O., Smirnova, Y., & Orchakova, L. (2021). Predictors of the Use of ICTS in Higher Education: Relevance and Readiness of Universities for Their Implementation. International Journal of Emerging Technologies in Learning, 16(4), 166–183. https://doi.org/10.3991/ijet.v16i14.20047 [Google Scholar] [Crossref]
29. Yeşilyurt, E., & Vezne, R. (2023). Digital literacy, technological literacy, and internet literacy as predictors of attitude toward applying computer-supported education. Education and Information Technologies 2023 28:8, 28(8), 9885–9911. https://doi.org/10.1007/S10639-022-11311-1 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study