A Bibliometric Analysis (2015-2025): Research on the Implementation of Problem-Based Learning Using Visual Media in Physics Education

DOI: https://doi.org/10.26618/2rh10t65

Authors

  • Katarina Sanca Department of Physics Education, Universitas Negeri Surabaya
  • Dwikoranto Department of Physics Education, Universitas Negeri Surabaya
  • Rahmatta Thoriq Lintangesukmanjaya Department of Physics Education, Universitas Negeri Surabaya
  • Indri Hapsari Khansa Department of Psychology, Universitas Negeri Surabaya
  • Sukarni Department of Master of Elementary Education, Universitas Doktor Nugroho Magetan
  • Marsini Department of Master of Elementary Education, Universitas Doktor Nugroho Magetan

bibliometric study, digital learning, physics education, problem-based learning, visual media

Abstract

The rapid growth of digital technology has encouraged physics education to adopt more student-centered and visually supported learning approaches, particularly because many physics concepts are abstract, mathematically complex, and difficult for students to understand through conventional instruction. Problem-Based Learning (PBL) supported by visual media has been widely recognized as a promising approach for improving conceptual understanding, problem-solving skills, and student engagement; however, the development of this research area has not been comprehensively mapped. This study aims to analyze research trends on the implementation of PBL using visual media in physics education during the 2015-2025 period. A bibliometric method was employed using Scopus-indexed publications as the data source. A total of 137 selected documents were exported as CSV files and analyzed using VOSviewer to examine publication trends, country contributions, document types, relevant authors, keyword co-occurrence networks, thematic clusters, overlay visualizations, and highly cited documents. The findings show a consistent increase in publications, with the United States, China, and Indonesia emerging as the most productive contributing countries. The keyword analysis identified eight major research clusters, indicating that studies in this field are strongly associated with physics education, students, simulations, augmented reality, virtual reality, artificial intelligence, image processing, and learning outcomes. The overlay visualization revealed a thematic shift from conventional visual media toward more interactive, immersive, and computational technologies. The novelty of this study lies in its integrated bibliometric mapping of PBL, visual media, and physics education over the last decade. This study concludes that visual media play an important role in strengthening PBL-based physics learning and provides evidence-based directions for future research and instructional innovation in physics education.

References

Agrawal, P., Nair, A. V., Abbeel, P., Malik, J., & Levine, S. (2016). Learning to poke by poking: Experiential learning of intuitive physics. Advances in Neural Information Processing Systems, 29, 1-9. https://papers.neurips.cc/paper/6113-learning-to-poke-by-poking-experiential-learning-of-intuitive-physics

Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11. https://doi.org/10.1016/j.edurev.2016.11.002

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

Aurisano, A., Radovic, A., Rocco, D., Himmel, A., Messier, M. D., Niner, E., Pawloski, G., Psihas, F., Sousa, A., & Vahle, P. (2016). A convolutional neural network neutrino event classifier. Journal of Instrumentation, 11(09), 1-21. https://doi.org/10.1088/1748-0221/11/09/P09001

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), 1-18. https://doi.org/10.1103/PhysRevPhysEducRes.17.023108

Belbute-Peres, F. de A., Smith, K. A., Allen, K. R., Tenenbaum, J. B., & Kolter, J. Z. (2018). End-to-end differentiable physics for learning and control. Advances in Neural Information Processing Systems, 31, 7178–7189. https://proceedings.neurips.cc/paper_files/paper/2018/file/842424a1d0595b76ec4fa03c46e8d755-Paper.pdf

Bergamin, K., Clavet, S., Holden, D., & Forbes, J. R. (2019). DReCon: Data-driven responsive control of physics-based characters. ACM Transactions on Graphics, 38(6), 1-11. https://doi.org/10.1145/3355089.3356536

Damarsha, A. B., Safitri, A. I., Nisa, K., Rizki, I. A., Suprapto, N., & Harnawan, A. A. (2023). Mapping and analyzing high school physics misconceptions: Novel insights from a 20-year bibliometric study (2002–2022). Berkala Ilmiah Pendidikan Fisika, 11(3), 354–369. https://doi.org/10.20527/bipf.v11i3.17256

Dawana, I. R., Setyarsih, W., Suprapto, N., & Dwikoranto, D. (2022). The effectiveness of virtual class-based e-learning with video-assisted google classroom as a physics learning media (2016-2020). Momentum: Physics Education Journal, 6(2), 188–198. https://doi.org/10.21067/mpej.v6i2.5849

Dewi, S., & Nisa’, K. (2025). Physics learning with problem-based learning based on electronic liveworksheets to improve students’ critical thinking skills. Journal of Digitalization in Physics Education, 1(3), 112–120. https://garuda.kemdiktisaintek.go.id/documents/detail/5975938

Ding, L., Li, T., Jiang, S., Gapud, A. (2023). Students’ perceptions of using ChatGPT in a physics class as a virtual tutor. International Journal of Educational Technology in Higher Education, 20(63), 1-18. https://doi.org/10.1186/s41239-023-00434-1

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

Donthu, N., Kumar, S., Pattnaik, D. (2020). Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research, 109, 1–14. https://doi.org/10.1016/j.jbusres.2019.10.039

Evendi, E., Saputri, M., Miza, H., & Hamid, A. (2025). Analysis of students' difficulties in solving physics problems using polya's theory. Jurnal Penelitian Pendidikan IPA, 10(9), 6525-6532. https://doi.org/10.29303/jppipa.v10i9.7127

Febriyani, F., Anisah, A., & Rusdiyana, R. (2025). problem-based learning and audio visual media learning model in class XI academic Madrasah Aliyah Negeri 2 Banyumas. Journal of Education Sciences, 3(1), 31–43. https://doi.org/10.62885/edusci.v3i1.859

Govea, J., Navarro, A. M., Sánchez-Viteri, S., & Villegas-Ch, W. (2024). Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments. Frontiers in Artificial Intelligence, 7, 1-22. https://doi.org/10.3389/frai.2024.1458230

Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams. Campbell Systematic Reviews, 18(2). https://doi.org/10.1002/cl2.1230

Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1–32. https://doi.org/10.1007/s40692-020-00169-2

Haris, A., Hasyim, M., Ma’ruf, M., Halim, A. D., Mahir, M., & Ramadhan, I. (2025). The effectiveness of dynamic problem-solving strategy and innovative assessment tools to improve students’ higher-order thinking skills. Jurnal Pendidikan IPA Indonesia, 14(1), 181-191. https://doi.org/10.15294/jpii.v14i1.21433

Hattie, J. (2020). Visible learning: The sequel. Routledge. https://doi.org/10.4324/9781003380542

Ibáñez, M. B., & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123, 109–123. https://doi.org/10.1016/j.compedu.2018.05.002

Ismail, F. N. B., Mohtar, L. E. B., & Al-Zuhairi, A. A. F. (2022). Development and usability of ‘Gravigame’ in Kepler’s law among physics trainee teachers. Journal of Physics: Conference Series, 2309, 1-5. https://doi.org/10.1088/1742-6596/2309/1/012045

Jannah, M., Nasir, M., Siahaan, D. S., Soewarno, S. (2022). Analysis of students' difficulties in solving physics problems with multiple representation using what's another way method. Al-Ishlah: Jurnal Pendidikan, 14(2), 2479-2488. https://doi.org/10.35445/alishlah.v14i2.1008

Juniantari, N. K. D., & Suniasih, N. W. (2023). Problem-based learning model assisted by visual media improves critical thinking skills of grade IV elementary school students. Thinking Skills and Creativity Journal, 6(1), 76–85. https://ejournal.undiksha.ac.id/index.php/TSCJ/article/view/62587

Karmila, N., Wilujeng, I., & Sulaiman, H. (2021). The effectiveness of problem-based learning assisted by Google Classroom to improve scientific literacy in physics learning. Proceedings of the 6th International Seminar on Science Education (ISSE 2020), 541, 447-452. https://doi.org/10.2991/assehr.k.210326.064

Koto, Y. A., Rizal, M. S., & Zulfah, Z. (2021). Pengaruh model problem based learning berbantuan media visual terhadap kemampuan kognitif siswa kelas IV SDN 005 Langgini. Jurnal Review Pendidikan Dasar: Jurnal Kajian Pendidikan dan Hasil Penelitian, 7(3), 199–204. https://doi.org/10.26740/jrpd.v7n3.p198-203

Laili, F., & Nisa’, K. (2025). Innovative digital approaches to physics teaching through STEAM integration. Journal of Digitalization in Physics Education, 1(1), 1-20. https://journal.unesa.ac.id/index.php/dpe/article/view/38999

Latifah, R. N., Sutopo, S., & Hidayat, A. (2024). Physics Learning Media with Multirepresentation: A Systematic Literature Review. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 10(2), 353–366. https://doi.org/10.21009/1.10212

Lintangesukmanjaya, R. T., Alifah, D. R. Z. Z., Dwikoranto, D., Salleh, S. B. H. M., & Wicaksono, I. (2025a). Bibliometric analysis of physics learning studies: Focus on differentiation and problem solving strategies. Journal of Learning and Applied Bibliometric Studies, 1(1), 1-9. https://doi.org/10.63230/jolabis.1.1.42

Lintangesukmanjaya, R. T., Iswardani, A., Prahani, B. K., Dwikoranto, D., Jatmiko, B., & Supardi, Z. A. I. (2025b). Improving critical thinking skills of high school students in physics learning with smartphone-simulation assisted inquiry model. Journal of Digitalization in Physics Education, 1(2), 1-13. https://journal.unesa.ac.id/index.php/dpe/article/view/42129

Lintangesukmanjaya, R. T., Mahendra, A., Anugrah, S., Prahani, B. K., Dwikoranto, D., Satriawan, M., & Rizki, I. A. (2025c). A EFA analysis of digital technology teaching materials in improving students’ critical thinking in physics learning. Jurnal Penelitian Pendidikan Sains, 14(1), 23–38. https://doi.org/10.26740/jpps.v14n1.p23-38

Makransky, G., & Petersen, G. B. (2021). The cognitive affective model of immersive learning (CAMIL): A theoretical research-based model of learning in immersive virtual reality. Educational Psychology Review, 33(3), 937–959. https://doi.org/10.1007/s10648-020-09586-2

Matsun, M., Boisandi, B., Sari, I. N., Hadiati, S., & Saputri, D. F. (2021). The effect of physics learning using Arduino-based media on higher-order thinking skills. Journal of Physics: Conference Series, 2104(1), 1-7. https://doi.org/10.1088/1742-6596/2104/1/012014

Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press. https://doi.org/10.1017/9781316941355

Mazidah, R., Sari, N. P. I., Festiana, I., & Falamy, R. A. (2026). Problem-based learning in senior high school physics: A systematic literature review. Teaching, Learning, and Development, 4(1), 97–102. https://telad.id/index.php/telad/article/view/124

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información, 29(1), 1-20. https://doi.org/10.3145/epi.2020.ene.03

Muslimin, M., & Purwaningsih, E. (2023). Meta-analysis: The effect of problem-based learning on critical thinking. Jurnal Pendidikan Matematika dan Sains, 11(2), 38–45. https://doi.org/10.21831/jpms.v11i2.49407

Nabila, A. E. F. (2023). The development of a problem-based learning physics module to facilitate the critical thinking skills of SHS learners for the material of work and energy. Impulse: Journal of Research and Innovation in Physics Education, 3(2), 113-123. https://doi.org/10.14421/impulse.2023.32-05

Ningsih, F., Handayani, W., & Erita, S. (2021). The visual media assisted problem-based learning model: Does it affect students' learning outcomes? Tarbawi, 17(2), 184-192. https://doi.org/10.32939/tarbawi.v17i2.1139

Nurazmi, N., & Bancong, H. (2024). Exploring physics education research: Popular topics in prestigious international journals in the period of 2009–2019. AIP Conference Proceedings, 2799(1), 020126. https://doi.org/10.1063/5.0183452

Nurazmi, N., Bancong, H., Nurfadilah, N., & Yulianti. Y. (2025). Mapping the evolution of STEAM education: A bibliometric analysis of global trends from 2016 to 2025. International Journal of Learning, Teaching and Educational Research, 24(9), 940-965. https://doi.org/10.26803/ijlter.24.9.45

OECD. (2021). 21st-century readers: Developing literacy skills in a digital world. OECD Publishing. https://doi.org/10.1787/a83d84cb-en

Padilla, K. (2009). Visualization: Theory and practice in science education. International Journal of Science Education, 31(1o), 1417-1420. https://doi.org/10.1080/09500690802673768

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, 372, 1-9. https://doi.org/10.1136/bmj.n71

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), 661–674. https://doi.org/10.34028/iajit/21/4/9

Pratiwi, F. A. I., Kuswanto, H., & Ariswan, A. (2025). Student’s conceptual understanding in physics learning: A systematic literature review. Jurnal Ilmu Pendidikan Fisika, 10(1), 57,66. https://doi.org/10.26737/jipf.v10i1.5953

Pujiyanti, A., Ellianawati, E., & Hardyanto, W. (2021). Penerapan model problem based learning (PBL) berbantuan alat peraga untuk meningkatkan minat dan hasil belajar fisika siswa MA. Physics Education Research Journal, 3(1), 41-52. https://doi.org/10.21580/perj.2021.3.1.6666

Purwati, S., & Mundilarto, M. (2021). The achievement of learning outcomes in knowledge aspects using experimental methods in problem-based learning. Jurnal Pendidikan Matematika dan Sains, 9(1), 32–41. https://doi.org/10.21831/jpms.v9i1.23231

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality application A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 1-29. https://doi.org/10.1016/j.compedu.2019.103778

Rahmawati, F., Sarwanto, S., & Budiawanti, S. (2021). Needs analysis of physics e-module based on hybrid-PBL model on critical thinking skills improvement. Momentum: Physics Education Journal, 5(2), 175–181. https://doi.org/10.21067/mpej.v5i2.5740

Sailer, M., Stadler, M., Schultz-Pernice, F., Franke, U., Schöffmann, C., Paniotova, V., Husagic, L., & Fischer, F. (2021). Technology-related teaching skills and attitudes: Validation of a scenario-based self-assessment instrument. Computers in Human Behavior, 115, 1-12. https://doi.org/10.1016/j.chb.2020.106625

Sari, W. W., Dwikoranto, D., & Bergsma, L. N. (2025). A futuristic STEAM-integrated PBL model enhanced by digital technology to foster high school students’ creative thinking in physics learning. Journal of Digitalization in Physics Education, 1(1), 1-21. https://journal.unesa.ac.id/index.php/dpe/article/view/39000

Sinensis, A. R., Firdaus, T., Hardila, T., Nopitasari, N., & Saiputri, N. (2021). Penerapan model problem based learning untuk menganalisis keterampilan pemecahan masalah siswa SMP pada materi cahaya. Physics Education Research Journal, 3(1), 19-28. https://doi.org/10.21580/perj.2021.3.1.6662

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Sulistiyo, S. (2021). Peningkatan aktivitas dan hasil belajar melalui problem based instruction dengan media visual. Journal of Education Action Research, 5(3), 353–360. https://doi.org/10.23887/jear.v5i3.34571

Suprapto, N., Prahani, B. K., & Deta, U. A. (2021). Research trend on ethnoscience through bibliometric analysis (2011-2020) and the contribution of Indonesia. Library Philosophy and Practice, 5599, 1-17. https://digitalcommons.unl.edu/libphilprac/5599

Syahril, A., & Jarnawi, M. (2023). Analysis of students' difficulties in solving physics problems in business and energy materials. Jurnal Pendidikan Fisika Tadulako Online, 11(1), 27-33. https://jurnalfkipuntad.com/index.php/jpft/article/view/3066

Tania, R., & Jumadi, J. (2021). The application of Android-based physics learning media with problem-based learning to improve critical thinking skills. Advances in Social Science, Education and Humanities Research, 528, 583-590. https://doi.org/10.2991/assehr.k.210305.085

Valente, J., António, J., Mora, C., & Jardim, S. (2023). Developments in image processing using deep learning and reinforcement learning. Journal of Imaging, 9(10), 1-22. https://doi.org/10.3390/jimaging9100207

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Wang, C., Song, L., & Jiang, J. (2025). The impact of project-based learning on university physics education: enhancing cognitive skills and core competencies. Frontiers in Psychology, 16, 1-8. https://doi.org/10.3389/fpsyg.2025.1495105

Wati, G. R. E, Maryani, M., & Meilina, I. L. (2025). Effect of applying the problem-based learning (PBL) model with powtoon assssment media on high school students' physics learning outcomes. KONSTAN: Jurnal Fisika dan Pendidikan Fisika, 10(1), 97-107. https://doi.org/10.20414/konstan.v10i01.763

Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities, and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024

Wu, J., Yildirim, I., Lim, J. J., Freeman, W. T., & Tenenbaum, J. B. (2015). Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. Advances in Neural Information Processing Systems, 28, 1-9. https://papers.nips.cc/paper_files/paper/2015/hash/d09bf41544a3365a46c9077ebb5e35c3-Abstract.html

Wulansari, E. T., Masruroh, R., Muzammil, M. H., & Bektiarso, S. (2025). Analisis penerapan metode pembelajaran problem based learning (PBL) meningkatkan pemahaman siswa dalam pelajaran fisika. Journal Innovation in Education, 3(1), 8-19. https://jurnal.stikes-ibnusina.ac.id/index.php/INOVED/article/view/2040

Yusal, Y., Suhandi, A., Setiawan, W., & Kaniawati, I. (2021). The effectiveness of collaborative problem-solving using decision-making problems to improve the pre-service physics teachers’ critical thinking skills. Jurnal Pendidikan Fisika, 9(2), 107–116. https://doi.org/10.26618/jpf.v9i2.5059

Zhang, F., Wang, H., Bai, Y., & Zhang, H. (2022). A bibliometric analysis of the landscape of problem-based learning research (1981–2021). Frontiers in Psychology, 13, 1-10. https://doi.org/10.3389/fpsyg.2022.828390

Zhang, P. (2022b). Image enhancement method based on deep learning. Mathematical Problems in Engineering, 2022(1), 1-9. https://doi.org/10.1155/2022/6797367

Zulianto, R. E., Rusilowati, A., & Sarwi, S. (2025). Implementation of problem-based learning assisted by PhET simulation to improve students’ understanding of mirror concepts and learning engagement. Unnes Science Education Journal, 14(3), 515-523. https://doi.org/10.15294/usej.v14i3.36047

Downloads

Published

2026-05-24

How to Cite

A Bibliometric Analysis (2015-2025): Research on the Implementation of Problem-Based Learning Using Visual Media in Physics Education. (2026). Jurnal Pendidikan Fisika, 14(2), 536-564. https://doi.org/10.26618/2rh10t65

How to Cite

A Bibliometric Analysis (2015-2025): Research on the Implementation of Problem-Based Learning Using Visual Media in Physics Education. (2026). Jurnal Pendidikan Fisika, 14(2), 536-564. https://doi.org/10.26618/2rh10t65