Social Stratification in Digital Learning: A Bibliometric Analysis of Self-Regulated Learning and Pedagogy via Biblioshiny (2016–June 2026)
DOI:
https://doi.org/10.61255/itej.v4i2.1395Keywords:
Bibliometric analysis, Bourdieu, Digital divide, Self-regulated learning, Social stratificationAbstract
The digital transformation of global education has accelerated pedagogical shifts that prioritize students’ self-regulated learning (SRL) as a prerequisite for academic achievement. However, contemporary digital curricula frequently overlook social stratification and material disparities present in students’ home learning environments. This descriptive-quantitative bibliometric study maps thematic trends, critiques epistemic biases, and synthesizes global literature on the relationship between socioeconomic class, digital inequality, and students’ digital self-regulated learning agency from 2016 to June 2026. Utilizing the PRISMA protocol, 45 Scopus-indexed documents were analyzed with the Bibliometrix R-package via the Biblioshiny interface. Pierre Bourdieu’s framework of capital, habitus, and symbolic violence guided the examination of publication trends, geographical distribution, citation structures, collaboration patterns, co-keyword networks, and thematic evolution. The results indicate a 19.62% annual growth rate, with a marked increase in publication activity during the first half of 2026. China led in publication output (19 appearances) and citation visibility (182 citations), followed by the United States (10 publications; 178 citations) and Australia (5 publications; 104 citations). Indonesia ranked among the top five contributors in publication output but was absent from major citation distributions, highlighting citation invisibility despite publication visibility. Co-keyword and thematic evolution analyses identified two major shifts: the reduction of SRL’s theoretical depth to psychological, demographic, and administrative performance indicators, and the instrumentalization of SRL through artificial intelligence, adaptive learning technologies, and platform-based education. This study advances Critical SRL by demonstrating that digital learning agency constitutes a stratified form of digital cultural capital rather than solely an individual psychological capacity. The findings are pertinent to policymakers, curriculum designers, and educational technology developers in developing countries aiming to create class-sensitive and socially just digital learning systems.
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Araka, E., Maina, E., Gitonga, R., & Oboko, R. (2020). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments—Systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 15(1), 6. https://doi.org/10.1186/s41039-020-00129-5
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Aulia, R., Prastowo, A., Fathunnajih, F., & Saputri, D. A. (2024). Implementing moral education through al-ghazali’s perspective in islamic studies: A case study at elementary school in yogyakarta. Lentera Pendidikan : Jurnal Ilmu Tarbiyah Dan Keguruan, 27(1), 243–259. https://doi.org/10.24252/lp.2024v27n1i15
Aulia, R., Rizki, A. M., Zulfikhar, R., Junida, D. S., & Mutmainnah, I. (2024). Pelaksanaan Program Rumah Belajar bagi Anak Gampong Meunasah Papeun untuk Meningkatkan Motivasi Belajar dengan Berbasis Hidden Curriculum. I-Com: Indonesian Community Journal, 4(1), 237–247. https://doi.org/10.33379/icom.v4i1.4001
Aulia, R., Suprayogi, D., Inayati, F., Rahmati, & Rizqiy, M. (2026). Islamic Environmental Education for Environmental Sustainability: Analysis Based on Secondary Data From Recent Research. Madinah: Jurnal Studi Islam, 13(1), 193–217. https://doi.org/10.58518/madinah.v13i1.4711
Aulia, R., Wihardjo, E., Widodo, H., Aimang, H. A., Mubarok, Rubiyad, A., Emawati, Haluti, A., Hartono, J. K., Yusron, A., Wibowo, G. A., & Rahmah. (2025). Dasar Ilmu Pendidikan: Menemukan Metode Pembelajaran yang Tepat. PT. Nawala Gama Education.
Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall.
Berger, N., & Archer, J. (2016). School socio-economic status and student socio-academic achievement goals in upper secondary contexts. Social Psychology of Education, 19(1), 175–194. https://doi.org/10.1007/s11218-015-9324-8
Bouakaz, L., & Khalid, S. (2025). AI in education: A sociological exploration of technology in learning environments. Frontiers in Education, 10, 1700876. https://doi.org/10.3389/feduc.2025.1700876
Bourdieu, P. (1986). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). Greenwood Press.
Bourdieu, P., & Passeron, J.-C. (2000). Reproduction in education, society and culture (2 .ed., reprinted). SAGE Publications.
Broer, M., Bai, Y., & Fonseca, F. (2019). Socioeconomic Inequality and Educational Outcomes: An Introduction. In M. Broer, Y. Bai, & F. Fonseca, Socioeconomic Inequality and Educational Outcomes (Vol. 5, pp. 1–6). Springer International Publishing. https://doi.org/10.1007/978-3-030-11991-1_1
Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Cukurova, M., & Shawe-Taylor, J. (2024). Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools. Sustainability, 16(2), 781. https://doi.org/10.3390/su16020781
Cleary, T. J., & Kitsantas, A. (2017). Motivation and Self-Regulated Learning Influences on Middle School Mathematics Achievement. School Psychology Review, 46(1), 88–107. https://doi.org/10.1080/02796015.2017.12087607
Daniel, G. R., Wang, C., & Berthelsen, D. (2016). Early school-based parent involvement, children’s self-regulated learning and academic achievement: An Australian longitudinal study. Early Childhood Research Quarterly, 36, 168–177. https://doi.org/10.1016/j.ecresq.2015.12.016
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Edisherashvili, N., Saks, K., Pedaste, M., & Leijen, Ä. (2022). Supporting Self-Regulated Learning in Distance Learning Contexts at Higher Education Level: Systematic Literature Review. Frontiers in Psychology, 12, 792422. https://doi.org/10.3389/fpsyg.2021.792422
Faza, A., & Lestari, I. A. (2025). Self-Regulated Learning in the Digital Age: A Systematic Review of Strategies, Technologies, Benefits, and Challenges. The International Review of Research in Open and Distributed Learning, 26(2), 23–58. https://doi.org/10.19173/irrodl.v26i2.8119
Guntur, M., & Purnomo, Y. W. (2024). A Meta-Analysis of Self-Regulated Learning Interventions Studies on Learning Outcomes in Online and Blended Environments. Online Learning, 28(3). https://doi.org/10.24059/olj.v28i3.4025
Jalali, Z. S., Introne, J., & Soundarajan, S. (2023). Social stratification in networks: Insights from co-authorship networks. Journal of The Royal Society Interface, 20(198), 20220555. https://doi.org/10.1098/rsif.2022.0555
Julia, J., Supriatna, E., Isrokatun, I., Aisyah, I., Nuryani, R., & Odebode, A. A. (2020). Moral Education (2010-2019): A Bibliometric Study (Part 1). Universal Journal of Educational Research, 8(6), 2554–2568. https://doi.org/10.13189/ujer.2020.080639
Kafile, M., Ninana, A., & Makhetha, P. (2025). The Digital Divide and E-Learning Participation: A Mixed-Methods Study of Extended Curriculum Programme Students in South Africa. International Journal of Learning, Teaching and Educational Research, 24(9), 769–784. https://doi.org/10.26803/ijlter.24.9.37
Karim, A., & Soebagyo, J. (2021). Pemetaan bibliometrik terhadap trend riset matematika terapan di Google Scholar menggunakan VOSviewer [Bibliometric mapping of applied mathematics research trends on Google Scholar using VOSviewer]. Teorema: Teori Dan Riset Matematika, 6(2). https://doi.org/10.25157/teorema.v6i2.5835
Lan, M., & Zhou, X. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. Npj Science of Learning, 10(1), 21. https://doi.org/10.1038/s41539-025-00319-0
Vesna, L., Sawale, P. S., Kaul, P., Pal, S., & Murthy, B. S. N. V. R. (2025). Digital Divide in AI-Powered Education: Challenges and Solutions for Equitable Learning. Journal of Information Systems Engineering and Management, 10(21s), 300–308. https://doi.org/10.52783/jisem.v10i21s.3327
Masripah, Anisah, A. S., & Usman, A. T. (2025). Bridging Divides in Digital Pedagogy: A Narrative Review of Emerging Tools and Inclusive Practices. Eduscape : Journal of Education Insight, 3(1), 13–27. https://doi.org/10.61978/eduscape.v3i1.932
McKay, V., & Makhanya, M. (2008). Making it work for the South: Using open and distance learning in the context of development. In T. Evans, M. Haughey, & D. Murphey (Eds.), Handbook of Distance Education (pp. 29–50). Emerald Group.
Middlehurst, R., & Woodfield, S. (2006). Quality review in distance learning: Policy and practice in five countries. Tertiary Education and Management, 12(1), 37–58. https://doi.org/10.1080/13583883.2006.9967159
Mzidabi, J., Goudeau, S., Delès, R., Claes, N., Easterbrook, M. J., Alexopoulos, T., & Rouet, J. (2024). Unequal homework: The hidden forces of social class contexts and parental self‐efficacy in shaping educational outcomes. Journal of Social Issues, 80(4), 1315–1344. https://doi.org/10.1111/josi.12656
Ojong, A. S. (2025). Bridging the digital divide: Unmasking socioeconomic barriers to equitable access to digital tools in education. International Journal of Science and Research Archive, 15(1), 1285–1300. https://doi.org/10.30574/ijsra.2025.15.1.1143
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, n71–n71. https://doi.org/10.1136/bmj.n71
Pintrich, P. R. (2000). The Role of Goal Orientation in Self-Regulated Learning. In Handbook of Self-Regulation (pp. 451–502). Elsevier. https://doi.org/10.1016/B978-012109890-2/50043-3
Prasse, D., Webb, M., Deschênes, M., Parent, S., Aeschlimann, F., Goda, Y., Yamada, M., & Raynault, A. (2024). Challenges in Promoting Self-Regulated Learning in Technology Supported Learning Environments: An Umbrella Review of Systematic Reviews and Meta-Analyses. Technology, Knowledge and Learning, 29(4), 1809–1830. https://doi.org/10.1007/s10758-024-09772-z
Putra, J. E., Sobandi, A., & Aisah, A. (2024). The urgency of digital technology in education: A systematic literature review. Jurnal EDUCATIO: Jurnal Pendidikan Indonesia, 10(1), 224. https://doi.org/10.29210/1202423960
Qaribilla, R., Indrajaya, K., & Mayawati, C. I. (2024). Digital Learning Inquality: The Role of Socioeconomic Status in Access to Online Education Resources. International Journal of Social and Human, 1(2), 51–58. https://doi.org/10.59613/55gdmt96
Rafols, I., Ciarli, T., & Chavarro, D. (2020). Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice. SocArXiv. https://doi.org/10.31235/osf.io/3kf9d
Raimondi, G., Cavicchiolo, E., Alivernini, F., Lucidi, F., & Manganelli, S. (2025). Socioeconomic Differences in the Use of Self-Regulated Learning Strategies: A Population Study. Behavioral Sciences, 15(11), 1493. https://doi.org/10.3390/bs15111493
Schunk, D. H., & Zimmerman, B. J. (Eds.). (2008). Motivation and Self-Regulated Learning: Theory, Research, and Applications. Routledge. https://www.routledge.com/Motivation-and-Self-Regulated-Learning-Theory-Research-and-Applications/Schunk-Zimmerman/p/book/9780805858983
Shen, H., Xie, J., Li, J., & Cheng, Y. (2021). The correlation between scientific collaboration and citation count at the paper level: A meta-analysis. Scientometrics, 126(4), 3443–3470. https://doi.org/10.1007/s11192-021-03888-0
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI-driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921–1947. https://doi.org/10.1002/sd.3221
UNESCO. (2020). Addressing the gender dimensions of COVID-related school closures. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000373379
Vadivel, B., Alam, S., Nikpoo, I., & Ajanil, B. (2023). The Impact of Low Socioeconomic Background on a Child’s Educational Achievements. Education Research International, 2023, 1–11. https://doi.org/10.1155/2023/6565088
Vaszkun, B., & Mihalkov Szakács, K. (2025). Looking for student success factors outside of the educators’ scope: The effect of digital literacy, personal skills, and learning habits and conditions on self-evaluated online learning effectiveness in management education. The International Journal of Management Education, 23(2), 101188. https://doi.org/10.1016/j.ijme.2025.101188
Wang, Y.-H. (2016). Could a mobile-assisted learning system support flipped classrooms for classical Chinese learning? Journal of Computer Assisted Learning, 32(5), 391–415. https://doi.org/10.1111/jcal.12141
Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G.-J., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. https://doi.org/10.1080/10447318.2018.1543084
Xu, Z., Zhao, Y., Zhang, B., Liew, J., & Kogut, A. (2023). A meta-analysis of the efficacy of self-regulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour & Information Technology, 42(16), 2911–2931. https://doi.org/10.1080/0144929X.2022.2151935
Zimmerman, B. J. (2000). Attaining Self-Regulation. In Handbook of Self-Regulation (pp. 13–39). Elsevier. https://doi.org/10.1016/B978-012109890-2/50031-7
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