Predictors of Student Academic Performance in Blended Learning: The Mediating Role of Digital Literacy
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Published
Aug 19, 2026
Abstract
Blended learning requires students to regulate their learning and use digital technologies effectively; however, academic performance remains shaped by psychological and social factors. Previous studies have tended to examine self-efficacy, perceived social support, self-regulated learning, and digital literacy separately, leaving the mechanisms connecting these factors insufficiently integrated. This study tested a model of student academic performance in blended learning, with digital literacy as a mediator. A cross-sectional quantitative design involved 449 students from three private universities in Jakarta selected through purposive sampling. Data were collected using measures of academic self-efficacy, perceived social support, self-regulated learning, digital literacy, and cumulative grade point average, and were analyzed using path analysis and mediation tests. The model demonstrated excellent fit. Academic self-efficacy, perceived social support, and digital literacy had positive and significant direct effects on academic performance, whereas self-regulated learning had no significant direct effect. Digital literacy mediated the effects of academic self-efficacy and self-regulated learning on academic performance. The study's novelty lies in positioning digital literacy as a mechanism that translates students' psychological learning resources into academic achievement, while perceived social support retains a direct role in post-pandemic blended learning.
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References
Ardhiani, O., Hadjam, N. R., & Fitriani, D. R. (2023). Digital Literacy And Student Academic Performance In Universities: A Meta-Analysis. Journal of Psychology and Instruction, 7(3).
Bandura, A. (1999). Social Cognitive Theory: An Agentic Perspestive. Asian Journal of Social Psychology, 2, 21–41.
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S.-L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005
Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32. https://doi.org/10.1016/j.iheduc.2017.01.004
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
Hayat, A. A., Kohoulat, N., Amini, M., & Faghihi, S. A. A. (2020). The predictive role of personality traits on academic performance of medical students: The mediating role of self-efficacy. Med J Islam Repub Iran.
Hayat, A. A., Shateri, K., Amini, M., & Shokrpour, N. (2020). Relationships between academic self-efficacy, learning-related emotions, and metacognitive learning strategies with academic performance in medical students: a structural equation model. BMC Medical Education, 20(1), 76. https://doi.org/10.1186/s12909-020-01995-9
Ilknur Istifci, & Nil Goksel. (2022). The Relationship between Digital Literacy Skills and Self-Regulated Learning Skills of Open Education Faculty Students. English as a Foreign Language International Journal, 2(1), 59–81. https://doi.org/10.56498/164212022
Jonassen, D., Davidson, M., Collins, M., Campbell, J., & Haag, B. B. (1995). Constructivism and computer‐mediated communication in distance education. American Journal of Distance Education, 9(2), 7–26. https://doi.org/10.1080/08923649509526885
Junaidi, A. (2020). Panduan Penyusunan Kurikulum Pendidikan Tinggi Di Era Industri 4.0 Untuk Mendukung Merdeka Belajar-Kampus Merdeka (S. S. Kusumawardani, Ed.; IV). Direktorat Jenderal Pendidikan Tinggi Kementerian Pendidikan dan Kebudayaan.
Kerres Malecki, C., & Kilpatrick Demary, M. (2002). Measuring perceived social support: Development of the child and adolescent social support scale (CASSS). Psychology in the Schools, 39(1), 1–18. https://doi.org/10.1002/pits.10004
Mackinnon, S. P. (2012). Perceived Social Support and Academic Achievement: Cross-Lagged Panel and Bivariate Growth Curve Analyses. Journal of Youth and Adolescence, 41(4), 474–485. https://doi.org/10.1007/s10964-011-9691-1
Malecki, C. K., & Demaray, M. K. (2006). Social support as a buffer in the relationship between socioeconomic status and academic performance. School Psychology Quarterly, 21(4), 375–395. https://doi.org/10.1037/h0084129
Malecki, C. K., Demaray, M. K., & Elliott, S. N. (2000). A Working Manual on the Development of the Child And Adolescent Social Support Scale (2000) (Revised 2014). Northern Illinois University.
Munawaroh, Fitriati, R., & Febriantina, S. (2022). Self-Confidence Learning Motivation and Students Achievement: The Mediating Role of Digital Literacy. Jurnal Pendidikan Bisnis dan Manajemen, 8(1), 16–24.
Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59(3), 1065–1078. https://doi.org/10.1016/j.compedu.2012.04.016
Sagone, E., & Caroli, M. E. De. (2014). Locus of Control and Academic Self-efficacy in University Students: The Effects of Self-concepts. Procedia - Social and Behavioral Sciences, 114, 222–228. https://doi.org/10.1016/j.sbspro.2013.12.689
Santos, G. M. M. C., Ramos, E. M. C. P. S. L., Escola, J., & Reis, M. J. C. S. (2019). ICT Literacy and School Performance. TOJET: The Turkish Online Journal of Educational Technology, 18(2), 19–39.
Tinajero, C., Martínez-López, Z., Rodríguez, M. S., & Páramo, M. F. (2019). Perceived social support as a predictor of academic success in Spanish university students. Anales de Psicología, 36(1), 134–142. https://doi.org/10.6018/analesps.344141
Tomás, J. M., Gutiérrez, M., Georgieva, S., & Hernández, M. (2020). The effects of self‐efficacy, hope, and engagement on the academic achievement of secondary education in the Dominican Republic. Psychology in the Schools, 57(2), 191–203. https://doi.org/10.1002/pits.22321
Yokoyama, S. (2019). Academic Self-Efficacy and Academic Performance in Online Learning: A Mini Review. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02794
Yu, L., Chen, S., & Recker, M. (2021). Structural relationships between self-regulated learning, teachers’ credibility, information and communications technology literacy and academic performance in blended learning. Australasian Journal of Educational Technology, 37(4), 46–63. https://doi.org/10.14742/ajet.5783