The influence of digital literacy and cognitive strategies on junior high school students’ conceptual understanding
DOI:
https://doi.org/10.29407/jmen.v12i1.28160Keywords:
digital literacy, cognitive strategies, conceptual understandingAbstract
The rapid integration of digital technology into mathematics learning has transformed how students access, process, and internalize conceptual knowledge. This study aims to analyze the influence of digital literacy and cognitive strategies on students’ conceptual understanding at SMP Islam Kota Denpasar. Using a quantitative explanatory design, the study involved 93 eighth-grade students selected through Slovin’s formula from a population of 120 students. Data were collected using validated and reliable instruments, including a digital literacy questionnaire, a cognitive strategy questionnaire, and a conceptual understanding test. The data were analyzed using multiple linear regression after meeting all classical assumptions, such as normality, linearity, multicollinearity, and heteroscedasticity. The results show that all instruments were valid and reliable, and the regression model met the required statistical assumptions. Partially, digital literacy significantly influenced conceptual understanding (t = 5.832; p = 0.000), and cognitive strategies also had a significant effect (t = 5.112; p = 0.000). Simultaneously, both variables significantly contributed to conceptual understanding, as indicated by the F-value of 56.214 (p = 0.000). The coefficient of determination (R² = 0.603) reveals that 60.3% of the variance in conceptual understanding was explained by digital literacy and cognitive strategies. These findings highlight the essential role of digital competence and higher-order cognitive processing in strengthening students’ conceptual mastery in mathematics.
References
Alexander, P. A., & Winne, P. H. (2022a). Cognitive strategies and learning. Educational Psychologist.
Alexander, P. A., & Winne, P. H. (2022b). A framework for understanding research on self-regulated learning and metacognition. Educational Psychologist.
Baddeley, A. (2020). Working Memory and Learning: A Practical Guide. Routledge.
Carretero, S., Vuorikari, R., & Punie, Y. (2022). Digital Competence Framework for Citizens 2.2: The European Model. Joint Research Centre Publications.
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
Fauziyah, R., & Lestari, D. (2021). Digital media and conceptual understanding. Jurnal Pendidikan Sains.
Field, A. (2020). Discovering Statistics Using SPSS. SAGE Publications.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.
Kalyuga, S., & Singh, A. M. (2023). Cognitive Load Theory and Its Application in Digital Learning Environments. Educational Psychology Review, 35(2), 1–26. https://doi.org/10.1007/s10648-022-09703-5
Lubis, H., & Nasution, Z. (2022). Analisis Kognitif Siswa dalam Pembelajaran Matematika Berbasis Neurosains. Jurnal Inovasi Pendidikan, 9(3), 150–162.
Mayer, R. E. (2022). Multimedia Learning (4th ed.). Cambridge University Press. https://doi.org/10.1017/9781009153576
O.e.c.d. (2021). Education Governance and Sustainability. OECD Publishing.
Pallant, J. (2020). SPSS Survival Manual (7th ed.). Open University Press.
Pramudito, M., & Zakiah, L. (2022). Digital resources and conceptual understanding. Jurnal Teknologi Pendidikan.
Rittle-Johnson, B., Schneider, M., & Star, J. R. (2020). Not a One-Way Street: Bidirectional Relations Between Procedural and Conceptual Knowledge of Mathematics. Educational Psychology Review, 32, 51–71.
Schleicher, A. (2022). World Class: How to Build a 21st-Century School System. OECD Publishing.
Schneider, M., & Stern, E. (2021). The developmental relations between conceptual and procedural knowledge. Educational Psychology Review, 33, 623–644. https://doi.org/10.1007/s10648-020-09530-8
Siddiq, F., Scherer, R., & Tondeur, J. (2021). Teachers' emphasis on developing students' digital information and data literacy. Computers & Education, 165, 104149. https://doi.org/10.1016/j.compedu.2021.104149
Surya, E., & Rahmat, A. (2023). Digital literacy and student conceptual mastery. International Journal of Instructional Technology.
Taherdoost, H. (2020). Sampling Methods in Research Methodology: How to Choose a Sampling Technique for Research. International Journal of Academic Research in Management, 9(3), 1–10.
Tavakol, M., & Dennick, R. (2020). Making sense of Cronbach's alpha. International Journal of Medical Education.
Thomas, M. S. C., Ansari, D., & Knowland, V. C. P. (2023). Educational Neuroscience: Progress and Prospects. Npj Science of Learning, 8(1), 1–12. https://doi.org/10.1038/s41539-023-00166-0
Wan, N. (2021). Digital literacy and learning. Education and Information Technologies.
Wan, N. (2022). Digital Literacy and Cognitive Engagement in Online Learning Environments. Computers & Education, 187, 104582. https://doi.org/10.1016/j.compedu.2022.104582
Weinstein, C. E., & Mayer, R. E. (1986). The teaching of learning strategies. Handbook of Research on Teaching, 3, 315–327.
Zhao, J., Lin, W., Huang, Y., & Wang, Q. (2021). Cognitive Strategy Use and Conceptual Learning in Mathematics: A Neuroscience Perspective. Frontiers in Psychology, 12, 640122. https://doi.org/10.3389/fpsyg.2021.640122
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Diah Ary Puspitarini, Mochamad Yus Cholily

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- The author grants the journal, the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License




