Enhancing Students' Deep Conceptual Understanding in Physics through Video Demonstrations: A Systematic Literature Review

Authors

  • Thorieq Moh. Yusuf Universitas Bakti Indonesia
  • Uswatun Hasanah Universitas Bakti Indonesia
  • Ammase S Universitas Muhammadiyah Kolaka Utara

DOI:

https://doi.org/10.52434/jpif.v5i2.43355

Keywords:

Deep conceptual understanding, Physics education, Systematic literature review, Video analysis, Video demonstration

Abstract

This systematic literature review investigates the effectiveness of video demonstrations in enhancing students' deep conceptual understanding in physics education. Adopting the PRISMA 2020 guidelines, a comprehensive search was conducted on the Scopus database for articles published between 2015 and 2025. A final selection of 20 high-impact empirical studies involving high school and university students was analyzed using thematic synthesis. The results reveal that video interventions successfully foster deep understanding only when designed to trigger active cognitive processing. Key effective strategies include leveraging cognitive conflict to correct misconceptions, utilizing video analysis tools (e.g., Tracker) for mathematical modeling, and employing simulations for abstract quantum concepts. Conversely, passive video consumption proves insufficient for conceptual change. The study concludes that video demonstrations function as effective cognitive scaffolds when coupled with interactivity, such as embedded questions and inquiry-based tasks. These findings imply that physics educators should transition from using videos as static illustrations to utilizing them as tools for active scientific analysis.

References

Astra, I. M., Henukh, A., Irvani, A. I., & Jua, S. K. (2025). The Effect of Contextual Teaching Approach on Cognitive Learning Outcomes and Student Responses in the Topic of Light. Journal of Physics: Conference Series, 3139(1), 12096.

Becker, S., Klein, P., Gössling, A., & Kuhn, J. (2020). Using mobile devices to enhance inquiry-based learning processes. Learning and Instruction, 69. https://doi.org/10.1016/j.learninstruc.2020.101350

Bramley, N. R., Gerstenberg, T., Tenenbaum, J. B. B., & Gureckis, T. M. (2018). Intuitive experimentation in the physical world. Cognitive Psychology, 105, 9–38. https://doi.org/10.1016/j.cogpsych.2018.05.001

Cai, S., Liu, C., Wang, T., Liu, E., & Liang, J. (2021). Effects of learning physics using Augmented Reality on students’ self‐efficacy and conceptions of learning. British Journal of Educational Technology, 52(1), 235–251.

Chernetskyi, I., Slipukhina, I., Kurylenko, N., Mieniailov, S., & Opachko, M. (2021). The Application of Tracker Video Analysis for Distance Learning of Physics. ICTERI, 182–192.

Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational psychology review, 3(3), 149–210.

Flegr, S., Kuhn, J., & Scheiter, K. S. (2023). How to foster STEM learning during Covid-19 remote schooling: Combining virtual and video experiments. Learning and Instruction, 86. https://doi.org/10.1016/j.learninstruc.2023.101778

Harjono, A., Gunawan, G., Adawiyah, R., & Herayanti, L. (2020). An interactive e-book for physics to improve students’ conceptual mastery. International Journal of Emerging Technologies in Learning, 15(5), 40–49. https://doi.org/10.3991/IJET.V15I05.10967

Henukh, A., Irvani, A. I., Setiawan, A., Seme, E. M., & Raja, N. R. L. (2025). AI and Transformative Learning in Higher Education: A Systematic Literature Review and Bibliometric Insights. Journal of Teaching and Learning, 19(4), 233–261. https://doi.org/10.22329/jtl.v19i4.10096

Herwinarso, Untung, B., Wirjawan, J. V. D., & Pratidhina, E. (2020). Development of android app to assist high school students in learning physics quantities and measurement principles. TEM Journal, 9(1), 292–295. https://doi.org/10.18421/TEM91-40

Irvani, A. I., Rochintaniawati, D., Riandi, R., Sinaga, P., & Henukh, A. (2024). Analysis of Quantum Physics Lectures from the Perspective of the MBKM and OBE Based Higher Education Curriculum. Jurnal Pendidikan Fisika dan Teknologi, 10(1), 44–54. https://doi.org/10.29303/jpft.v10i%601.6390

Irvani, A. I., Rustaman, N., Kaniawati, I., & Sinaga, P. (2024). Analisis Kesulitan Belajar Mahasiswa pada Mata Kuliah Fisika Kuantum. DIFFRACTION: Journal for Physics Education and Applied Physics, 6(1), 30–38. https://doi.org/10.37058/diffraction.v6i1.10107

Jose, S., Kochandra, R., & Daniel, S. A. (2021). Instructional Videos, Conceptual Understanding and Self-Efficacy in the Time of COVID. International Journal of Innovation in Science and Mathematics Education, 29(3), 2–16. https://doi.org/10.30722/IJISME.29.03.001

Kestin, G., & Miller, K. A. (2022). Harnessing active engagement in educational videos: Enhanced visuals and embedded questions. Physical Review Physics Education Research, 18(1). https://doi.org/10.1103/PhysRevPhysEducRes.18.010148

Leshko, D., Yablon, L., & Hasiuk, I. M. (2025). THE PRINCIPLE OF HISTORICISM AND WAYS OF ITS IMPLEMENTATION IN A PHYSICS COURSE. Journal of Vasyl Stefanyk Precarpathian National University, 12(1), 96–104. https://doi.org/10.15330/jpnu.12.1.96-104

Ma, Y., Peng, Q., & Long, B. (2025). Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1559696

Marçal, J., Borges, M. M., Viana, P., & Carvalho, P. S. o. (2020). Learning physics through online video annotations; Aprender la física a través de anotaciones de vídeos en línea. Education in the Knowledge Society, 21. https://doi.org/10.14201/eks.23373

Mayer, R. E. (2024). The past, present, and future of the cognitive theory of multimedia learning. Educational Psychology Review, 36(1), 8.

Mufit, F., Asrizal, A., Puspitasari, R. N., & Annisa. (2022). COGNITIVE CONFLICT-BASED E-BOOK WITH REAL EXPERIMENT VIDEO ANALYSIS INTEGRATION TO ENHANCE CONCEPTUAL UNDERSTANDING OF MOTION KINEMATICS. Jurnal Pendidikan IPA Indonesia, 11(4), 626–639. https://doi.org/10.15294/jpii.v11i4.39333

Mulvia, R., & Lestari, I. F. (2023). PHYSICS DEMONSTRATION VIDEOS ON YOUTUBE (PDVY) SEBAGAI MEDIA PEMBELAJARAN FISIKA BERBASIS EKSPERIMEN. Prosiding Seminar Nasional Universitas Jabal Ghafur, 2, 222–227.

Munfaridah, N., Avraamidou, L., & Goedhart, M. (2021). The use of multiple representations in undergraduate physics education: what do we know and where do we go from here? Eurasia Journal of Mathematics, Science and Technology Education, 17(1), em1934.

Nautiyal, V. V, Salvador, E. E. P., Braña, X. R. O., Shastri, R., Singh, V., Tyagi, A., Vidhani, B., & Prasad, V. (2025). Enhancing high school students’ understanding and attitude towards quantum mechanics through discipline-culture framework and cognitive apprenticeship. EPJ Quantum Technology, 12(1), 104.

Navarrete, E., Nehring, A., Schanze, S., Ewerth, R., & Hoppe, A. (2025). A closer look into recent video-based learning research: A comprehensive review of video characteristics, tools, technologies, and learning effectiveness. International Journal of Artificial Intelligence in Education, 1–64.

Nyirahabimana, P., Minani, E., Nduwingoma, M., & Kimeza, I. (2024). University students dataset related to achievement, classroom practices, perceptions and attitudes of multimedia-based learning quantum physics. F1000Research, 12. https://doi.org/10.12688/f1000research.128013.2

Piloto, L. S., Weinstein, A., Battaglia, P., & Botvinick, M. (2022). Intuitive physics learning in a deep-learning model inspired by developmental psychology. Nature human behaviour, 6(9), 1257–1267.

Poonyawatpornkul, J., Pitsamai, S., Methakesorn, O., & Mangmee, K. (2025). Effectiveness of Online Experiments for Conceptual Understanding of Simple Pendulum by Physics Student-Teachers. Journal of Learning for Development, 12(1), 205–219. https://doi.org/10.56059/jl4d.v12i1.1142

Pratidhina, E., Dwandaru, W. S. B., & Kuswanto, H. (2020). Exploring Fraunhofer diffraction through Tracker and spreadsheet: An alternative lab activity for distance learning. https://doi.org/10.31349/revmexfise.17.285

Pratidhina, E., Rizky Yuliani, F., & DWANDARU, W. S. B. (2020). Relating simple harmonic motion and uniform circular motion with tracker. Revista Mexicana de Fisica E, 17(2), 141–145. https://doi.org/10.31349/REVMEXFISE.17.141

Putri, R. T., Alhusni, H. Z., & Lestari, N. A. (2023). Design and Prototype Testing of the Video Tracker Analysis-Based Uniformly Varied Rectilinear Motion Tool for Uniformly Accelerated Rectilinear Motion and Uniformly Decelerated Rectilinear Motion Experiments. Journal of Physics: Conference Series, 2623(1). https://doi.org/10.1088/1742-6596/2623/1/012035

Qolbi, W. N., Irvani, A. I., & Warliani, R. (2024). The Effectiveness Of The Creative Problem Solving (Cps) Model Assisted By Youme (Youtube Media) In Improving The Creative Thinking Skills Of High School Students. Pillar Of Physics Education, 17(4), 269–275.

Rachniyom, S., Sujarittham, T., & Wuttiprom, S. (2019). The projectile tube experiment for improving high-school physics conceptual understanding. Journal of Physics: Conference Series, 1380(1). https://doi.org/10.1088/1742-6596/1380/1/012105

Rana, S. (2024). Virtual Learning Frontiers: A Documentary Analysis of Online Learning Platforms in Education.

Rohman, S. M., Irvani, A. I., & Warliani, R. (2025). Gamification in Physics Education: Trends, Impacts, and Insights from the Last Decade. International Conference on Educational Innovations and Practices (ICIEP) 2024, 41–48. https://www.researchgate.net/publication/393750434_Gamification_in_Physics_Education_Trends_Impacts_and_Insights_from_the_Last_Decade

Sundstrom, M., Phillips, A. M., & Holmes, N. G. (2020). Problematizing in inquiry-based labs: How students respond to unexpected results. Physics Education Research Conference Proceedings, 539–544. https://doi.org/10.1119/perc.2020.pr.Sundstrom

Swandi, A., Amin, B. D., Viridi, S., & Eljabbar, F. D. (2020). Harnessing technology-enabled active learning simulations (TEALSim) on modern physics concept. Journal of Physics: Conference Series, 1521(2). https://doi.org/10.1088/1742-6596/1521/2/022004

Sweller, J. (2011). Cognitive load theory. In Psychology of learning and motivation (Vol. 55, hal. 37–76). Elsevier.

Syahdah, V. S., & Irvani, A. I. (2023). Kesulitan Menanamkan Jiwa Percaya Diri terhadap Kemampuan Mengerjakan Soal Fisika. Jurnal Pendidikan dan Ilmu Fisika, 3(1), 163–171. https://doi.org/10.52434/jpif.v3i1.1586

Tóthová, M., & Rusek, M. (2025). Eye Tracking in Science Education Research: Comprehensive Literature Review. Science and Education, 34(6), 4583–4626. https://doi.org/10.1007/s11191-025-00644-1

Ulfa, S., Irvani, A. I., & Warliani, R. (2024). Pengembangan Modul Ajar Fisika Kurikulum Merdeka. Jurnal Pendidikan Fisika dan Sains (JPFS), 7(1), 51–59. https://doi.org/10.52188/jpfs.v7i1.562

Wulff, P. (2024). Physics language and language use in physics—What do we know and how AI might enhance language-related research and instruction. European Journal of Physics, 45(2), 23001.

Ye, H., Liang, B., Ng, O.-L., & Chai, C. S. (2023). Integration of computational thinking in K-12 mathematics education: A systematic review on CT-based mathematics instruction and student learning. International Journal of STEM Education, 10(1), 3.

Downloads

Published

2025-12-28