Membangun Etika Penggunaan Artificial Intelligence pada Pembelajaran Fisika di Materi Gerak Harmonik Sederhana
DOI:
https://doi.org/10.29303/goescienceed.v7i2.1907Keywords:
AI Ethics, Physics Learning, Simple Harmonic Motion.Abstract
Digital transformation has positioned artificial intelligence as a crucial instrument disrupting conventional learning methods. However, despite the rapid development of Artificial Intelligence (AI) utilization in physics education, ethical guidance for students exploring complex material independently remains limited, thus triggering the risk of academic integrity degradation. This study aims to formulate an ethical framework for the use of AI in physics learning on Simple Harmonic Motion (SHM) to mitigate this risk at the secondary level. Using a quantitative approach with a purposive sampling technique on 36 11th grade students in East Java, data were collected through profile questionnaires, AI-based worksheets as a material search medium, and an ethical perception scale. The findings show that AI use reached 92.3%, accompanied by significant ethical awareness (4.20) where students positioned AI as a discussion assistant, not a substitute for cognitive processes. Correlation analysis (0.43) proved that understanding the GHS concept increased students' accuracy in validating AI output. However, the transparency aspect acknowledged AI assistance as the lowest challenge (3.53). It was concluded that the use of AI does not compromise student integrity as long as it is accompanied by strengthened ethical perceptions and oversight by teachers as key supervisors. Therefore, educators are advised to integrate self-verification guidelines and ethical guidelines into technology-based assignments to maintain scientific honesty.
References
Bitzenbauer, P., Veith, J. M., Girnat, B., & Meyn, J. P. (2022). Assessing Engineering Students’ Conceptual Understanding of Introductory Quantum Optics. Physics (Switzerland), 4(4), 1180–1201. https://doi.org/10.3390/physics4040077
Bohori, M., Liliawati, W., Suwarma, I. R., & Ringo, S. S. (2022). Jurnal Penelitian dan Pengembangan Pendidikan Fisika. JPPPF, 8(2). https://doi.org/10.21009/1
Daeng Naba, S., Istiyono, E., Kurniawan, A., & Adrianto, N. (2024). Development and Validation of Physics Multiple-Choice Tests on the Nature of Physics Using Rasch Modelling Analysis. Jurnal Pendidikan MIPA, 25(2), 671–685. https://doi.org/10.23960/jpmipa/v25i2.pp671-685
Halim, M. G., Saepuzaman, D., Aviyanti, L., Utama, J. A., & Nawas, A. (2026). Measuring Critical Thinking in Physics: A Rasch Analysis of Instrument Quality and Gender Equivalence. Jurnal Pendidikan MIPA, 27(1), 452–475. https://doi.org/10.23960/jpmipa.v27i1.pp452-475
Hope, D., Kluth, D., Homer, M., Dewar, A., Goddard-Fuller, R., Jaap, A., & Cameron, H. (2025). Exploring the use of Rasch modelling in “common content” items for multi-site and multi-year assessment. Advances in Health Sciences Education, 30(2), 427–438. https://doi.org/10.1007/s10459-024-10354-y
Irsalina, F. R., Aviyanti, L., & Rahayani, Y. (2025). Self-regulated learning in physics: A comprehensive study of high school students through the lens of the Rasch Model. Momentum: Physics Education Journal, 9(2), 200–216. https://doi.org/10.21067/mpej.v9i2.11393
Khusaini, K., Azizah, N., Suwasono, P., Yogihati, C. I., & Andriani, A. D. (2025). Rasch Model Application: Identification of Students’ Conceptual Understanding of Static Fluid. Jurnal Pendidikan Fisika Indonesia, 21(1), 54–68. https://doi.org/10.15294/jpfi.v21i1.15023
Kurniawan, A., Istiyono, E., & Naba, S. D. (2024). Item Quality Analysis of Physics Concept Understanding Test with Rasch Model. JIPF (Jurnal Ilmu Pendidikan Fisika), 9(3), 474. https://doi.org/10.26737/jipf.v9i3.5692
Kurniawan, F., Samsudin, A., Chandra, D. T., Sriwati, E., Zahran, M., Gani, A. W., Ramadhan, B. P., Aminudin, A. H., & Ramadani, F. (2023). Assessing conceptual understanding of high school students on transverse and stationary waves through Rasch analysis in Malang. Journal of Physics: Conference Series, 2596(1). https://doi.org/10.1088/1742-6596/2596/1/012060
Matejak Cvenic, K., Planinic, M., Susac, A., Ivanjek, L., Jelicic, K., & Hopf, M. (2022). Development and validation of the Conceptual Survey on Wave Optics. Physical Review Physics Education Research, 18(1). https://doi.org/10.1103/PhysRevPhysEducRes.18.010103
Rasyid, F., Istiyono, E., & Gunawan, C. W. (2025). Developing and analyzing items of a physics conceptual understanding test on wave topics for high school students using the Rasch Model. REID (Research and Evaluation in Education), 11(1), 1–16. https://doi.org/10.21831/reid.v11i1.75575
Rosidin, U., Sesunan, F., & Fitria, D. (2022). Development of Assessment Instruments to Measure Collaboration and Responsibility Skills of Students in Physics Learning on Cased Method-Based. AMPLITUDO: Journal of Science and Technology Innovation, 1(2), 29–35. https://doi.org/10.56566/amplitudo.v1i2.7
Samsudin, A., Aminudin, A. H., Novia, H., Suhandi, A., Fratiwi, N. J., Yusup, M., Supriyatman, S., Masrifah, M., Adimayuda, R., Prahani, B. K., Wibowo, F. C., Faizin, M. N., & Costu, B. (2023). Identifying Javanese Students’ Conceptions on Fluid Pressure with Wright Map Analysis of Rasch. Journal of Natural Science and Integration, 6(2), 173. https://doi.org/10.24014/jnsi.v6i2.21822
Setyawarno, D., Maryati, & Natadiwijaya, I. F. (2025). Promoting a valid question model for measuring computational thinking skills based on confirmatory factor analysis and Rasch model. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2505339
Sirait, J. (2023). Development and Validation of Physics Learning Motivation Survey (PLMS) using Rasch Analysis. Jurnal Penelitian Pendidikan IPA, 9(5), 4063–4069. https://doi.org/10.29303/jppipa.v9i5.3481
Soeharto, S., & Csapó, B. (2022). Exploring Indonesian student misconceptions in science concepts. Heliyon, 8(9). https://doi.org/10.1016/j.heliyon.2022.e10720
Wati, M., Rahmawati, R., Dewantara, D., Suyidno, S., Mahtari, S., Diyana, A., & Halim, B. (2026). PHYSICS-BASED RASCH ANALYSIS OF PROBLEM-SOLVING SKILLS ON ENERGY TRANSFORMATION SYSTEMS TO SUPPORT SUSTAINABLE DEVELOPMENT GOALS (SDGs). In Physics Based Rasch Analysis of Problem Solving Skills on Energy. .. . 85 Journal of Engineering Science and Technology (Vol. 21, Number 1).
