Bibliometric Analysis: Trends and Potential of Self-Regulated Learning (SRL) in Physics and SDGs
DOI:
https://doi.org/10.63230/jolabis.1.3.112Keywords:
Bibliometric, Learning, Physics, SDGs, SRLAbstract
Objective: This study aims to determine potential future research directions that can strengthen the integration between SRL and physics education in order to support the achievement of Sustainable Development Goals (SDGs), especially goal 4 on Quality Education. Method: This research was conducted using a quantitative descriptive approach, a bibliometric analysis study used data from the Scopus database to map trends and focuses on Self-Regulated Learning (SRL) research in international literature. Results: There is a global research trend in SRL and physics learning that supports the SDGs. The number of documents and citations increased from 2020 to 2025, resulting in 123 Scopus documents, with the highest number of citations in 2024, reaching 185. Novelty: The findings of the bibliometric analysis identified three main aspects of SRL research on physics materials and their influence on the SDGs, including the use of AI technology, relevant learning models, and learning processes. Future research directions hold great potential for integrating technologies such as AI and IoT devices into SRL to support the achievement of the Sustainable Development Goals (SDGs). This finding is in innovative learning planning focused on self-satisfaction in the era of technology adoption.
References
Abtokhi, A., Jatmiko, B., & Wasis, W. (2021). Evaluation of self-regulated learning on problem-solving skills in online basic Physics learning during the COVID-19 pandemic. Journal of Technology and Science Education, 11(2), 541-555. https://www.jotse.org/index.php/jotse/article/view/1205
Adow, A. H. E., Safeer, M. M., Mohammed, M. G., Alam, M. S., & Sulphey, M. M. (2024). A synthesis of academic literature on eco-spirituality. Global Journal of Environmental Science and Management, 10(4), 2163-2178.
Ambaryani, S. E., & Putranta, H. (2022). Improving learners’ metacognitive skills with self-regulated learning based problem-solving. International Journal of Instruction, 15(2), 139-154. https://doi.org/10.29333/iji.2022.1528a
Auwalu, F. K., & Bello, M. (2023). Exploring the contemporary challenges of urbanization and the role of sustainable urban development: A study of Lagos City, Nigeria. Journal of Contemporary Urban Affairs, 7(1), 175-188. https://doi.org/10.25034/ijcua.2023.v7n1-12
Barroga, E., Matanguihan, G. J., Furuta, A., Arima, M., Tsuchiya, S., Kawahara, C., ... & Izumi, M. (2023). Conducting and writing quantitative and qualitative research. Journal of Korean medical science, 38(37). https://doi.org/10.3346/jkms.2023.38.e291
Chang, D. H., Lin, M. P. C., Hajian, S., & Wang, Q. Q. (2023). Educational design principles of using AI chatbot that supports self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15(17), 12921. https://doi.org/10.3390/su151712921
Cheng, P., Tang, H., Dong, Y., Liu, K., Jiang, P., & Liu, Y. (2021). Knowledge mapping of research on land use change and food security: a visual analysis using CiteSpace and VOSviewer. International Journal of Environmental Research and Public Health, 18(24), 13065. https://doi.org/10.3390/ijerph182413065
Dan, Q., Yin, H., & Bai, B. (2025). Three paradigms of inquiry into self-regulated learning (SRL): a critical analysis and ways to transformative and integrated practices. Asia Pacific Education Review, 26(3), 749-761. https://doi.org/10.1007/s12564-025-10035-4
Delmotte, M. V., Pörtner, H.-O., Skea, J., Zhai, P., Roberts, D., & lainnya. (2022). Global warming of 1.5°C: An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Cambridge University Press. https://doi.org/10.1017/9781009157940
Demir, K. (2024). Future of undergraduate education for sustainable development goals: Impact of perceived flexibility and attitudes on self-regulated online learning. Sustainability, 16(15), 6444. https://doi.org/10.3390/su16156444
Hamdan, W., & Alsuqaih, H. (2024). Research output, key topics, and trends in productivity, visibility, and collaboration in social sciences research on COVID-19: A scientometric analysis and visualization. Sage Open, 14(4), 21582440241286217. https://doi.org/10.1177/21582440241286217
Heryani, T. P., Suwarma, I. R., & Chandra, D. T. (2023). Development of STEM-based physics module with self-regulated learning to train students critical thinking skills. Jurnal Penelitian Pendidikan IPA, 9(6), 4245-4252. https://doi.org/10.29303/jppipa.v9i6.3578
Imara, K., & Altinay, F. (2021). Integrating education for sustainable development competencies in teacher education. Sustainability, 13(22), 12555. https://doi.org/10.3390/su132212555
Kramarski, B., & Heaysman, O. (2021). A conceptual framework and a professional development model for supporting teachers’“triple SRL–SRT processes” and promoting students’ academic outcomes. Educational Psychologist, 56(4), 298-311. https://doi.org/10.1080/00461520.2021.1985502
Kumar, M., George, R. J., & PS, A. (2023). Bibliometric analysis for medical research. Indian Journal of Psychological Medicine, 45(3), 277-282. https://doi.org/10.1177/02537176221103617
Kumar, T., Soozandehfar, S. M. A., Hashemifardnia, A., & Mombeini, R. (2023). Self vs. peer assessment activities in EFL-speaking classes: Impacts on students’ self-regulated learning, critical thinking, and problem-solving skills. Language Testing in Asia, 13(1), 36. https://doi.org/10.1186/s40468-023-00251-3
Lintangesukmanjaya, R. T., Dwikoranto, D., Awwalina, D. P., Setiani, R., & Bergsma, L. N. (2025). Potential study SDGs 4 of deep learning approaches to improve problem solving with machine learning inovation: Empirical and bibliometric analysis. In E3S Web of Conferences, 640, 02018. EDP Sciences. https://doi.org/10.1051/e3sconf/202564002018
Lintangesukmanjaya, R. T., Prahani, B. K., Alifah, D. R. Z. Z., & Wicaksono, I. (2025). Bibliometric analysis of physics learning studies: Focus on differentiation and problem solving strategies. Journal of Law and Bibliometrics Studies, 1(1), 42-42. https://doi.org/10.63230/jolabis.1.1.42
Lintangesukmanjaya, R. T., Prahani, B. K., Dwikoranto, D., Alhusni, H. Z., & Kurtuluş, M. A. (2025). Technology integration for SDGs-oriented social science education: A bibliometric perspective. In E3S Web of Conferences, 640, 02017. https://doi.org/10.1051/e3sconf/202564002017
MASJUDIN, M. (2024). Strengthening 21st century skills through an independent curriculum in mathematics education in Indonesia: Challenges, potential, and strategies. International Journal of Applied Science and Sustainable Development (IJASSD), 6(2), 92-113. https://doi.org/10.36733/ijassd.v6i2.9087
Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021). Exploring topics in bibliometric research through citation networks and semantic analysis. Frontiers in Research Metrics and Analytics, 6, 742311. https://doi.org/10.3389/frma.2021.742311
Molenaar, I., de Mooij, S., Azevedo, R., Bannert, M., Järvelä, S., & Gašević, D. (2023). Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data. Computers in Human Behavior, 139, 107540. https://doi.org/10.1016/j.chb.2022.107540
Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study. British Journal of Educational Technology, 55(4), 1328-1353. 10.1111/bjet.13454
Nilimaa, J. (2023). New examination approach for real-world creativity and problem-solving skills in mathematics. Trends in Higher Education, 2(3), 477-495. https://doi.org/10.3390/higheredu2030028
Öz, E., & Şen, H. Ş. (2021). The effect of self-regulated learning on students’lifelong learning and critical thinking tendencies. Elektronik Sosyal Bilimler Dergisi, 20(78), 934-960. https://doi.org/10.17755/esosder.821097
Pakdel, J., & Erol, I. (2025). Scrutinizing challenges to adopting digital technologies in the mining industry: A systematic review through PRISMA and bibliometric analysis. Resources Policy, 109, 105713. https://doi.org/10.1016/j.resourpol.2025.105713
Pessin, V. Z., Yamane, L. H., & Siman, R. R. (2022). Smart bibliometrics: an integrated method of science mapping and bibliometric analysis. Scientometrics, 127(6), 3695-3718. https://doi.org/10.1007/s11192-022-04406-6
Pham, X. L., & Le, T. T. (2024). Bibliometric analysis and systematic review of research on expert finding: A PRISMA-guided Approach. The International Arab Journal of Information Technology, 21(4). https://doi.org/10.34028/iajit/21/4/9
Sain, Z. H., Baharun, H., Islamiyah, D. F., Prasetiya, B., & Habibu, M. L. (2024). Revolutionizing education: Building 21st-century skills for an inclusive, sustainable future. Journal of Multidisiplinary, 1(2), 88-94. https://ssrpublisher.com/ssrjm/
Sulistiawati, S., Kusumah, Y. S., Dahlan, J. A., Juandi, D., & Vos, H. (2023). A bibliometric analysis: Trend of studies in self-regulated learning over the past three decades. Indonesian Journal on Learning and Advanced Education (IJOLAE), 178-197. https://doi.org/10.23917/ijolae.v5i2.21381
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