Author(s):
- Odnovol Dmytro Hennadiiovych, ORCID: https://orcid.org/0009-0004-7238-7424
- Dyadenchuk Alеna Fedorivna, ORCID: https://orcid.org/0000-0002-6625-9985
DOI: https://doi.org/10.32782/2307-9770.2025.13.02.01
Paper Language: UKR
Abstract
This article addresses the challenges of developing the technical thinking of higher education students through computational modelling of electromagnetic waves in the Matlab environment. Modern engineering requires specialists not only deep theoretical knowledge but also the ability to apply it in practice, particularly in electrodynamics, where abstract concepts benefit from visualization. The study analyses the role of computer modelling in the study of electrodynamics and its impact on the understanding of physical concepts. Two examples of modelling are presented: electromagnetic wave interference and propagation through different materials. For each example, a mathematical model, a description of the Matlab code, visualization of the results, and possible directions for extending the models for students' independent work are provided. The study proposes methods for numerical analysis, visualizing fields, and estimating the reflection and transmission coefficients of electromagnetic waves through various materials. The study demonstrates that modelling electromagnetic waves in Matlab contributes to a deeper understanding of the principles of their propagation, interaction, and superposition. Students can observe constructive and destructive interference, analyze electric and magnetic field behavior, and create dynamic animations. Modelling wave propagation through different materials allows for the analysis of wave interaction with multilayer structures, which is useful for understanding wave behavior and developing devices like filters or anti-reflective coatings. The obtained results confirm the effectiveness of using Matlab in the educational process, enhancing student motivation and developing practical skills. Prospects for further research include the integration of Matlab with machine learning libraries to predict wave process characteristics. This article is valuable for physics and engineering educators, as well as students interested in computational modelling of physical phenomena.
Keywords
technical thinking, Matlab, electromagnetic waves, numerical modelling, electrodynamics, visualization of physical phenomena
References
1. Diadenchuk, A. F., & Shkvyrya, V. V. (2022). Formuvannia informatsiino-matematychnoi kompetentnosti zdobuvachiv vyshchoi osvity v zahalnomu kursi fizyky [Formation of informational and mathematical competence of higher education students in the general course of physics]. Inzhenerni ta osvitni tekhnolohii – Engineering and Educational Technologies, 10(1), 30-41. DOI: https://doi.org/10.30929/2307-9770.2022.10.01.03
2. Obeidat, S. B., Dakeev, U., & Ma, J. (2022, August). Teaching AutoCAD in e-learning and face-to-face styles for undergraduate engineering technology students during and after COVID-19 pandemic. Proceedings of the 2022 ASEE Annual Conference & Exposition.
3. Naik, B. K. (2022). Solution for simple classical systems using SCILAB. The Physics Educator, 4(3), 2250014. DOI: https://doi.org/10.1088/1857-2223/ac771d
4. Kovalchuk, M. B. (2019). Modeliuvannia zadach matematychnoi fizyky v systemi kompiuternoi matematyky Maple [Modeling of mathematical physics problems in the Maple computer mathematics system]. Fizyka-matematychna osvita – Physics and Mathematics Education, 2(20), 40-47. DOI: https://doi.org/10.31110/fmo2019.02.040
5. Akhatayeva, Z., Sagindykov, K., Mukushev, B., Kurmangaliyeva, N., & Karipzhanova, A. (2024). Visual Basic and MathCAD used for visualization and modeling STEM education. Education and Information Technologies, 1-16. DOI: https://doi.org/10.1007/s10639-024-12461-x
6. Podlasov, S. O., & Matviichuk, O. V. (2023). Osoblyvosti provedenia laboratornykh robit z fizyky v tekhnichnomu universyteti pid chas dystantsiinoho navchannia [Features of conducting physics laboratory work at a technical university during distance learning]. Informatsiini tekhnolohii i zasoby navchannia – Information Technologies and Learning Tools, 1(93), 152-162. DOI: https://doi.org/10.33407/itlt.v93i1.6111
7. Diadenchuk, A. F., & Khalanchuk, L. V. (2020). Zastosuvannia seredovyshcha Mathcad u zahalnomu kursi fizyky pry pidhotovtsi fakhivtsiv inzhenernykh spetsialnostei [Application of the Mathcad environment in the general physics course for the training of engineering specialists]. Inzhenerni ta osvitni tekhnolohii – Engineering and Educational Technologies, 8(4), 40-50. DOI: 10.30929/2307-9770.2020.08.04.04.
8. Diadenchuk, A. F., & Khalanchuk, L. V. (2021). Formuvannia profesiinoi kompetentnosti maibutnikh inzheneriv pry rozviazanni prykladnykh zadach u paketi Scilab [Formation of professional competence of future engineers in solving applied problems using the Scilab package]. In Volkova, N. P. (Ed.), Modeliuvannia kompetentnisnoi profesiinoi osvity v konteksti yevrointehratsii – Modeling of Competence-Based Professional Education in the Context of European Integration (pp. 289-309). Dnipro: Alfred Nobel University.
9. Odnovol, D. H. (2010). Dystantsiine navchannia fizyky ta mistse v n'omu matematychnykh paketiv prohram [Distance learning of physics and the place of mathematical software packages in it]. Zbirnyk naukovykh prats Kamianets-Podilskoho natsionalnoho universytetu imeni Ivana Ohiienka. Seriia pedahohichna – Collection of Scientific Papers of Kamianets-Podilskyi National University named after Ivan Ohienko. Pedagogical Series, 16, 295-297.
10. Yablon, L. S. (2016). Modeliuvannia fizychnykh protsesiv. Laboratornyi praktykum dlia studentiv napriamiv pidhotovky "Fizyka" i "Prykladna fizyka" [Modeling of physical processes. Laboratory practicum for students of "Physics" and "Applied Physics"]. Ivano-Frankivsk, 86 p.
11. Praveena, S., Deepak, J., Priyadharshini, K., & Shanthi, T. (2021). Simulation of electromagnetic waves propagation using Matlab. Journal of Electronics and Informatics, 6(2), 171-184. DOI: https://doi.org/10.18311/jei/2021/28362
12. Notaroš, B. M., McCullough, R., Manić, S. B., & Maciejewski, A. A. (2024). Computer-assisted learning of electromagnetics through MATLAB programming of electromagnetic fields. Engineering Education Journal. Retrieved from https://www.engr.colostate.edu/~aam/pdf/journals/102.pdf (accessed: 26.02.2025).
13. Majid, M. A., Huneiti, Z. A., Balachandran, W., & Balarabe, Y. (2013). MATLAB as a teaching and learning tool for mathematics: A literature review. International Journal of Arts & Sciences, 6(3), 23.
14. Hansen, N. K., & Hadjerrouit, S. (2021). Exploring students’ computational thinking for mathematical problem-solving: A case study. Cognition and Exploratory Learning in the Digital Age (CELDA 2021), 251.
15. Majid, M. A., Huneiti, Z. A., Al-Naafa, M. A., & Balachandran, W. (2012, September). A study of the effects of using MATLAB as a pedagogical tool for engineering mathematics students. Proceedings of the 2012 15th International Conference on Interactive Collaborative Learning (ICL), 1-9. IEEE. DOI: https://doi.org/10.1109/ICL.2012.6402120
16. Kontrová, L., & Šusteková, D. (2020). Matlab as a teaching, learning and motivating tool for engineering mathematics. Mathematical Modeling, 4(2), 42-44.
17. Bobrytska, H., & Chernovol, N. (2024). Integrated lesson on mathematical modeling of the Markov process using the Lanchester model and its solution in Matlab. Fizyko-matematychna osvita – Physical and Mathematical Education, 39(5), 7-13. DOI: https://doi.org/10.31110/fmo2024.v39i5-01
18. Haiev, Ye. O. (2018). Matlab program for light dispersion on a prism and the method of learning by own discoveries. Informatsiini tekhnolohii v osviti – Information Technologies in Education, 3, 30-45.
19. Poveda, R. A. (2006). Use of symbolic mathematics systems in the theoretical physics course. Zbirnyk naukovykh prats Kamianets-Podilskoho natsionalnoho universytetu imeni Ivana Ohiienka. Seriia pedahohichna, 12, 303-304.
20. Kasianova, H. (2023). Formation of technical thinking using STEM education tools for future physics teachers. Collection of Scientific Papers, 64.
21. Didukh, L. D. (2020). Elektryka ta mahnetyzm: pidruchnyk [Electricity and Magnetism: Textbook]. Ternopil: Pidruchnyky i posibnyky, 464 p.