Improve basic physics learning using the Jupyter Notebook App

Authors

  • Melda Panjaitan Universitas Budi Darma, Indonesia
  • Siti Nurhabibah Hutagalung Universitas Budi Darma, Indonesia

DOI:

https://doi.org/10.35335/cendikia.v15i3.5945

Keywords:

Basic Physics, Higher Education, Interactive Learning, Jupyter Notebook, technological innovation

Abstract

Basic Physics learning often faces challenges in improving students' conceptual understanding and analytical skills. The Jupyter Notebook application, which offers a Python-based interactive environment, is an innovative alternative to solve this problem. This study aims to evaluate the effectiveness of the use of Jupyter Notebook in learning Basic Physics in first-year students in college. The research method used is quasi-experimental with a mixed-method approach. The results of the study show that the application of Jupyter Notebook improves students' conceptual understanding, problem-solving skills, and learning motivation.

References

Alvias Noviantika Arnanda. (2021). ANALYSIS OF THE APPLICATION OF GEOGEBRA LEARNING MEDIA IN DEVELOPING STUDENTS' MATHEMATICAL COMMUNICATION SKILLS SUBJECT TO THE TWO-VARIABLE LINEAR EQUATION SYSTEM. Unej, 6.

Anggi Mayasari Lubis, Dini Azlina Pane, & Putria Nurjanah. (2022). BALANCED SCORECARD ANALYSIS AS A TOOL TO MEASURE COMPANY PERFORMANCE (Case Study on PT Toyota Astra Motor). Trending: Journal of Management and Economics, 1(1), 209–228. https://doi.org/10.30640/trending.v1i1.516

Anugrah, D. (2022). Application of Kirchhoff's Law and Ohm's Law to Electrical Circuit Analysis Using Electronics Workbench Software. Journal of Systems, Information Technology, and Electronics Engineering, 2(2), 1–11.

Ayudha, C. F. H., & Setyarsih, W. (2021). Literature Studies: Analysis of Physics Learning Practices in High School to Practice Problem-Solving Skills. Undiksha Journal of Physics Education, 11(1), 16. https://doi.org/10.23887/jjpf.v11i1.33427

Borovský, D., Han?, J., & Han?ová, M. (2024). Innovative approaches to high school physics competitions: Harnessing the power of AI and open science. Journal of Physics: Conference Series, 2715(1). https://doi.org/10.1088/1742-6596/2715/1/012011

Castilla, R., & Peña, M. (2023). Jupyter Notebooks for the study of advanced topics in Fluid Mechanics. Computer Applications in Engineering Education, 31(4), 1001–1013. https://doi.org/10.1002/cae.22619

Charles, T., & Gwilliam, C. (2023). The Effect of Automated Error Message Feedback on Undergraduate Physics Students Learning Python: Reducing Anxiety and Building Confidence. Journal for STEM Education Research, 6(2), 326–357. https://doi.org/10.1007/s41979-022-00084-4

Du, D., Baird, T. J., Eimre, K., Bonella, S., & Pizzi, G. (2024). Jupyter widgets and extensions for education and research in computational physics and chemistry. Computer Physics Communications, 305(December 2023), 109353. https://doi.org/10.1016/j.cpc.2024.109353

González-Carrillo, C. D., Restrepo-Calle, F., Ramírez-Echeverry, J. J., & González, F. A. (2021). Automatic grading tool for jupyter notebooks in artificial intelligence courses. Sustainability (Switzerland), 13(21), 1–26. https://doi.org/10.3390/su132112050

Hassan, H., Ahmad, N. B., & Anuar, S. (2020). Improved students’ performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining. Journal of Physics: Conference Series, 1529(5). https://doi.org/10.1088/1742-6596/1529/5/052041

Hut, R. W., Pols, C. F. J., & Verschuur, D. J. (2020). Teaching a hands-on course during corona lockdown: From problems to opportunities. Physics Education, 55(6). https://doi.org/10.1088/1361-6552/abb06a

Kim, B., & Henke, G. (2021). Easy-to-Use Cloud Computing for Teaching Data Science. Journal of Statistics and Data Science Education, 29(S1), S103–S111. https://doi.org/10.1080/10691898.2020.1860726

Laipaka, R., Mustika, N., & Runda, O. R. (2021). Application of Jupyter Notebook on Anaconda Navigator for Data Visualization (Case Study: Titanic). Proceedings of the National Seminar on Community Service, 1(1), 388–395. https://ejournal.raharja.ac.id/index.php/corisindo/article/view/2438

Lane, W. B., Galanti, T. M., & Rozas, X. L. (2023). Teacher Re-novicing on the Path to Integrating Computational Thinking in High School Physics Instruction. Journal for STEM Education Research, 6(2), 302–325. https://doi.org/10.1007/s41979-023-00100-1

Musfiqon. (2012). Development of Media and Learning Resources. PT. Librarian Achievements.

NURMALIATI. (2017). DIFFERENCES IN PHYSICS LEARNING OUTCOMES USING THE POWER OF TWO TYPE COOPERATIVE LEARNING MODEL WITH THINK PAIRS CHECK TYPE IN GRADE XI HIGH SCHOOL STUDENTS. Judika (Indonesian Education Journal), 5(1), 42–46.

Osorio, C., Fuster, N., Chen, W., Men, Y., & Juan, A. A. (2024). Enhancing Accessibility to Analytics Courses in Higher Education through AI, Simulation, and e-Collaborative Tools. Information (Switzerland), 15(8). https://doi.org/10.3390/info15080430

Pelupessy, E., & Agustin T, H. (2014). Development of e-Learning-Based Learning Media in Physics 1 Course to Increase Student Learning Effectiveness. Journal of Electrical Engineering Education, 3(2), 193–198.

Piccione, A., Massa, A. A., Ruggiero, M. L., Serio, M., Rinaudo, M., Marocchi, D., & Marino, T. (2024). Training teachers on new topics and new tools in Physics education. Journal of Physics: Conference Series, 2693(1). https://doi.org/10.1088/1742-6596/2693/1/012010

Pimentel, J. F., Murta, L., Braganholo, V., & Freire, J. (2021). Understanding and improving the quality and reproducibility of Jupyter notebooks. Empirical Software Engineering, 26(4). https://doi.org/10.1007/s10664-021-09961-9

Popi, P. P., Bhakti, Y. B., & Mayanty, S. (2021). Crocodile Physics Media for Physics Teacher Learning during the Pandemic. Archive: Journal of Community Service, 1(1), 18–26. https://doi.org/10.55506/arch.v1i1.4

Shah, K., Butler, J., Knaub, A. V., Zengino?lu, A., Ratcliff, W., & Soltanieh-ha, M. (2024). Data science education in undergraduate physics: Lessons learned from a community of practice. American Journal of Physics, 92(9), 655–662. https://doi.org/10.1119/5.0203846

Siti Nurhabibah Hutagalung, Anda Yanny, S. A. (2020). Electronics Workbench (EWB) Training in Physics Learning for Students at SMA Citra Harapan Percut. Journal of Social Responsibility Projects, 1(1), 9–11.

TOPSAKAL, O. (2023). Teaching Algorithms Design Approaches via Interactive Jupyter Notebooks. European Journal of Technic, 13(1), 1–6. https://doi.org/10.36222/ejt.1320404

Tri, D., & Yanto, P. (2019). Practicality of Interactive Learning Media in the Learning Process of Electrical Circuits. INVOTEK, 19(1), 75–82. https://doi.org/10.24036/invotek.v19vi1.409

Tufino, E., Oss, S., & Alemani, M. (2024). Using Jupyter Notebooks to foster computational skills and professional practice in an introductory physics lab course. 2023. http://arxiv.org/abs/2405.16675

Wu, T., Wang, Q., & Wang, S. (2021). Research on the Application of VPython 3D Dynamic Visualization in the Teaching of College Physics. Journal of Contemporary Educational Research, 5(9), 10–15. https://doi.org/10.26689/jcer.v5i9.2533

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Published

2025-01-31

How to Cite

Panjaitan, M., & Hutagalung, S. N. . (2025). Improve basic physics learning using the Jupyter Notebook App. Cendikia : Media Jurnal Ilmiah Pendidikan, 15(3), 126-131. https://doi.org/10.35335/cendikia.v15i3.5945