Bibliometric Analysis of Reflective Practices in Physics Learning: Trends, Challenges, and Future Directions
DOI:
https://doi.org/10.63230/jolabis.1.3.103Keywords:
Bibliometric Analysis, Deep Learning, Physics Education, Reflective Practices, Student-Centered LearningAbstract
Objective: This study aims to provide a comprehensive bibliometric analysis of reflective practices in physics education, identifying global trends, research gaps, and future directions. The focus is to map the development of reflective practices as a key 21st-century skill in physics learning and to highlight their role in strengthening conceptual understanding, metacognitive awareness, and student autonomy. Method: A bibliometric research design was employed using the Scopus database as the primary source. Data were collected from 1995 to 2025, filtered according to inclusion criteria, and analyzed using performance analysis and science-mapping techniques. Tools such as VOSviewer and Biblioshiny were used to visualize publication trends, collaboration networks, and keyword co-occurrences, ensuring validity and replicability. Results: The findings indicate significant growth in publications since 2015, peaking in 2024. Conference proceedings dominate research outputs, while reputable journals play a more minor yet influential role. The United States, China, and Indonesia emerge as leading contributors, with varying levels of international collaboration. Keyword analysis highlights "students," "reflection," and "deep learning" as dominant themes, reflecting a shift toward student-centred and technology-enhanced pedagogies. Novelty: Unlike prior studies that focused mainly on classroom implementation or teacher training, this research systematically maps reflective practices in physics education through bibliometric analysis. It provides the first global overview of research trends and offers strategic recommendations for advancing reflective practices as a transformative approach in 21st-century physics education.
References
Ahmed, S. A. M., Zhang, W., Ma, H., & Feng, Z. (2023). Professional development for STEM educators: A bibliometric analysis of the recent progress. Review of Education, 11(1). https://doi.org/10.1002/rev3.3392
Alanazi, A., Osman, K., & Halim, L. (2025). Enhancing physics problem-solving skills through guided discovery and scaffolding strategies. LUMAT: International Journal on Math, Science and Technology Education, 12(4), 5. https://doi.org/10.31129/LUMAT.12.4.2329
Anders, A. D., & Speltz, E. D. (2025). Developing Generative AI Literacies Through Self-Regulated Learning: A Human-Centered Approach. Computers and Education: Artificial Intelligence, 100482. https://doi.org/10.1016/j.caeai.2025.100482
Baker, L. R., Phelan, S., Woods, N. N., Boyd, V. A., Rowland, P., & Ng, S. L. (2021). Re-envisioning paradigms of education: towards awareness, alignment, and pluralism. Advances in Health Sciences Education, 26(3), 1045–1058. https://doi.org/10.1007/s10459-021-10036-z
Banda, H. J., & Nzabahimana, J. (2021). Effect of integrating physics education technology simulations on students’ conceptual understanding in physics: A review of literature. Physical Review Physics Education Research, 17(2), 023108. https://doi.org/10.1103/PhysRevPhysEducRes.17.023108
Beets, M. W., von Klinggraeff, L., Weaver, R. G., Armstrong, B., & Burkart, S. (2021). Small studies, big decisions: the role of pilot/feasibility studies in incremental science and premature scale-up of behavioral interventions. Pilot and Feasibility Studies, 7(1), 173. https://doi.org/10.1186/s40814-021-00909-w
Bitzenbauer, P. (2021). Quantum Physics Education Research over the Last Two Decades: A Bibliometric Analysis. Education Sciences, 11(11), 699. https://doi.org/10.3390/educsci11110699
Brang, M., Greinert, F., Ubben, M. S., Franke, H., & Bitzenbauer, P. (2025). Quantum terminology in pseudoscience: exploration of preservice physics teachers' reasonings. EPJ Quantum Technology, 12(1), 96. https://doi.org/10.1140/epjqt/s40507-025-00403-9
Casadei, P., Bloom, M., Camerani, R., Masucci, M., Siepel, J., & Ospina, J. V. (2023). Mapping the state of the art of creative cluster research: a bibliometric and thematic analysis. European Planning Studies, 31(12), 2531–2551. https://doi.org/10.1080/09654313.2022.2158722
Chee, H., Ahn, S., & Lee, J. (2025). A Competency Framework for AI Literacy: Variations by Different Learner Groups and an Implied Learning Pathway. British Journal of Educational Technology, 56(5), 2146–2182. https://doi.org/10.1111/bjet.13556
Chiu, M.-C., Hwang, G.-J., & Tu, Y.-F. (2022). Roles, applications, and research designs of robots in science education: a systematic review and bibliometric analysis of journal publications from 1996 to 2020. Interactive Learning Environments, 1–26. https://doi.org/10.1080/10494820.2022.2129392
Chiu, P.-W., Chu, S.-C., Yang, C.-H., Lee, H.-F., Hung, H.-M., & Hsu, H.-C. (2025). Peer-assisted learning in critical care: a simulation-based approach for postgraduate medical training. Medical Education Online, 30(1). https://doi.org/10.1080/10872981.2025.2497333
Dessie, E., Gebeyehu, D., & Eshetu, F. (2023). Enhancing critical thinking, metacognition, and conceptual understanding in introductory physics: The impact of direct and experiential instructional models. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2287. https://doi.org/10.29333/ejmste/13273
Dobre, F., Sandu, A., Tătaru, G.-C., & Cotfas, L.-A. (2025). A Decade of Studies in Smart Cities and Urban Planning Through Big Data Analytics. Systems, 13(9), 780. https://doi.org/10.3390/systems13090780
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
Fu, Y. C., Marques, M., Tseng, Y.-H., Powell, J. J. W., & Baker, D. P. (2022). An evolving international research collaboration network: spatial and thematic developments in co-authored higher education research, 1998–2018. Scientometrics, 127(3), 1403–1429. https://doi.org/10.1007/s11192-021-04200-w
Guo, X., Chen, S., & Guo, Y. (2024). Advancing multimodal teaching: a bibliometric and content analysis of trends, influences, and future directions. Humanities and Social Sciences Communications, 11(1), 1718. https://doi.org/10.1057/s41599-024-04254-0
Heldalia, Kuswanto, H., & Salim, E. (2025). Systematic Literature Review: Problem-Solving Skills in Physics Learning. Jurnal Penelitian Pendidikan IPA, 11(3), 50–57. https://doi.org/10.29303/jppipa.v11i3.10235
Hussein, H. (2025). A Proposed Model for Teacher Education: Rethinking the Future of the Next Generation. International Journal of Research in Educational Sciences, 8(2), 41–78. https://doi.org/10.29009/ijres.8.2.1
Jian, M., Jin, D., & Wu, X. (2023). Research hotspots and development trends of international learning cycle model:Bibliometric analysis based on CiteSpace. Heliyon, 9(11), e22076. https://doi.org/10.1016/j.heliyon.2023.e22076
Jin, D., & Jian, M. (2024). Research hotspots and development trends of model and modelling education research: Bibliometric analysis based on CiteSpace. Heliyon, 10(11), e32590. https://doi.org/10.1016/j.heliyon.2024.e32590
Judijanto, L. (2021). Patterns, Trends, And Gaps In The Current Pool Of Knowledge, Thus Contributing To A More Diverse Understanding Of PBL In The Context Of Secondary Education. QALAMUNA: Jurnal Pendidikan, Sosial, Dan Agama, 13(2), 969–980. https://doi.org/10.37680/qalamuna.v13i2.4317
Karampelas, K. (2024). Teacher Training in Science Education: Insights into Research Trends through a Bibliometric Approach. In Bibliometrics - An Essential Methodological Tool for Research Projects. IntechOpen. https://doi.org/10.5772/intechopen.1005273
Kavashev, Z. (2025). Using artificial intelligence in the development of self-determined lifelong learners in higher education: a scoping review. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-025-09463-3
Khanna, A., Sarasan, S., & M P, S. (2025). Navigating the AI revolution in customer service: a bibliometric analysis. Spanish Journal of Marketing - ESIC. https://doi.org/10.1108/SJME-08-2024-0228
Kılıç, A. (2022). The impact of reflective practices on preservice science teachers classroom teaching practices. Journal of Pedagogical Research, 6(1), 152–170. https://doi.org/10.33902/JPR.2022175781
Korkmaz, G., & Toraman, C. (2024). Reflective Thinking: A Bibliometric Analysis of Four Decades of Research and Insights for Future Studies. International Journal of Education in Mathematics, Science and Technology, 12(4), 1053–1070. https://doi.org/10.46328/ijemst.4231
Kumar, R. (2025). Bibliometric Analysis: Comprehensive Insights into Tools, Techniques, Applications, and Solutions for Research Excellence. Spectrum of Engineering and Management Sciences, 3(1), 45–62. https://doi.org/10.31181/sems31202535k
Lakens, D., Hilgard, J., & Staaks, J. (2016). On the reproducibility of meta-analyses: six practical recommendations. BMC Psychology, 4(1), 24. https://doi.org/10.1186/s40359-016-0126-3
Lee, J. J., & Chi, G. (2025). Five Decades of Eating Disorder Research: A Bibliometric Analysis of Publication Trends, Research Themes, and the Relationship Between Public and Academic Attention (1975–2024). International Journal of Eating Disorders, 58(7), 1278–1295. https://doi.org/10.1002/eat.24436
Lehr, S. A., Caliskan, A., Liyanage, S., & Banaji, M. R. (2024). ChatGPT as Research Scientist: Probing GPT’s capabilities as a Research Librarian, Research Ethicist, Data Generator, and Data Predictor. Proceedings of the National Academy of Sciences, 121(35). https://doi.org/10.1073/pnas.2404328121
Li, X., Ji, M., Zhang, H., Liu, Z., Chai, Y., Cheng, Q., Yang, Y., Cordato, D., & Gao, J. (2023). Non-drug Therapies for Alzheimer’s Disease: A Review. Neurology and Therapy, 12(1), 39–72. https://doi.org/10.1007/s40120-022-00416-x
Menon, D., & Azam, S. (2021). Investigating Preservice Teachers’ Science Teaching Self-Efficacy: an Analysis of Reflective Practices. International Journal of Science and Mathematics Education, 19(8), 1587–1607. https://doi.org/10.1007/s10763-020-10131-4
Miseliunaite, B., Kliziene, I., & Cibulskas, G. (2022). Can Holistic Education Solve the World’s Problems: A Systematic Literature Review. Sustainability, 14(15), 9737. https://doi.org/10.3390/su14159737
Moon, K., Green, A. E., & Kushlev, K. (2025). HomogenHomogenizing of large language models (LLMs) on creative diversity: An empirical comparison of human and ChatGPT writing. Computers in Human Behavior: Artificial Humans, 6, 100207. https://doi.org/10.1016/j.chbah.2025.100207
Mukherjee, A., Dubey, A., & Mukherjee, A. (2024). Adult Education & Lifelong Learning: A Conspicuous Reflection of the New Education Policy 2020 In Making a Drastic Change Towards Society. Galore International Journal of Applied Sciences and Humanities, 8(2), 73–87. https://doi.org/10.52403/gijash.20240210
Musengimana, T., Yadav, L. L., Uwamahoro, J., & Nizeyimana, G. (2025). Assessing physics students’ problem-solving skills: a baseline investigation. Discover Education, 4(1), 196. https://doi.org/10.1007/s44217-025-00640-1
Nasution, S. L. S., & Setyaningrum, W. (2024). Enhancing Higher-Order Thinking and Conceptual Understanding through STEM-PjBL: A Comprehensive Assessment of Its Impact on Education. Indonesian Journal of Educational Research and Review, 7(3), 656–666. https://doi.org/10.23887/ijerr.v7i3.81285
Nicholus, G., Muwonge, C. M., & Joseph, N. (2023). The Role of Problem-Based Learning Approach in Teaching and Learning Physics: A Systematic Literature Review. F1000Research, 12, 951. https://doi.org/10.12688/f1000research.136339.2
Nurjanah, S., Sultan, J., Arriza, L., Suardi, I. K., Ramadhani, S., Seran, D. S. F., & Rashid, S. (2025). Assessment in physics education research: Trends, patterns, and future directions. Review of Education, 13(1). https://doi.org/10.1002/rev3.70043
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
Pirker, J., & Dengel, A. (2021). The Potential of 360° Virtual Reality Videos and Real VR for Education—A Literature Review. IEEE Computer Graphics and Applications, 41(4), 76–89. https://doi.org/10.1109/MCG.2021.3067999
Rethlefsen, M. L., Brigham, T. J., Price, C., Moher, D., Bouter, L. M., Kirkham, J. J., Schroter, S., & Zeegers, M. P. (2024). Systematic review search strategies are poorly reported and not reproducible: a cross-sectional metaresearch study. Journal of Clinical Epidemiology, 166, 111229. https://doi.org/10.1016/j.jclinepi.2023.111229
Sanjaya, I., Syam, R., & Djide, S. (2024). Best Practices for Enhancing Student Metacognitive Skills Through Innovative Teaching Strategies. Educia Journal, 2(1), 23–35. https://doi.org/10.71435/610407
Schöllhorn, W. I., Rizzi, N., Slapšinskaitė-Dackevičienė, A., & Leite, N. (2022). Always Pay Attention to Which Model of Motor Learning You Are Using. International Journal of Environmental Research and Public Health, 19(2), 711. https://doi.org/10.3390/ijerph19020711
Sengul, O. (2024). Linking Traditional Teaching to Innovative Approaches: Student Conceptions in Kinematics. Education Sciences, 14(9), 973. https://doi.org/10.3390/educsci14090973
Shadiev, R., Sintawati, W., Kerimbayev, N., & Altinay, F. (2024). Systematic Review (2003–2023): Exploring Technology-Supported Cross-Cultural Learning through Review Studies. Sustainability, 16(2), 755. https://doi.org/10.3390/su16020755
Shaheen, N., Shaheen, A., Ramadan, A., Hefnawy, M. T., Ramadan, A., Ibrahim, I. A., Hassanein, M. E., Ashour, M. E., & Flouty, O. (2023). Appraising systematic reviews: a comprehensive guide to ensuring validity and reliability. Frontiers in Research Metrics and Analytics, 8. https://doi.org/10.3389/frma.2023.1268045
Susanti, E., Maulidah, R., & Makiyah, Y. S. (2021). Analysis of problem-solving ability of physics education students in STEM-based project based learning. Journal of Physics: Conference Series, 2104(1), 012005. https://doi.org/10.1088/1742-6596/2104/1/012005
Tan, Q. (2025). Reimagining teacher development in the era of generative AI: A scoping review. Teaching and Teacher Education, 168, 105236. https://doi.org/10.1016/j.tate.2025.105236
Taques, F. H. (2025). Mapping Scientific Knowledge on Patents: A Bibliometric Analysis Using PATSTAT. FinTech, 4(3), 32. https://doi.org/10.3390/fintech4030032
Wei, Y., Zhong, Y., & Pi, F. (2025). Ineffectiveness of recorded video instruction for teaching complex content in secondary school physics classrooms. Physical Review Physics Education Research, 21(1), 010117. https://doi.org/10.1103/PhysRevPhysEducRes.21.010117
Worku, D. T., Ejigu, M. A., Gebremeskal, T. G., & Kassa Gogie, T. (2025). Assessing the impact of multiple representations based instruction integrated with formative assessment practice on secondary school students’ problem-solving performance in Physics. Research in Science & Technological Education, 1–26. https://doi.org/10.1080/02635143.2025.2469062
Yaşar, M. Ö. (2025). Empowering Preservice English Language Teachers: The Impact of Scenario-Based SRL Training on Self-Regulated Learning and Teaching Self-Efficacy. Journal of Language Research, 9(1), 154–179. https://doi.org/10.51726/jlr.1663142
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