The Utilization of Artificial Intelligence (AI) in Physics Learning for Physics Education Students

Authors

DOI:

10.29303/jppipa.v11i5.11552

Published:

2025-05-25

Issue:

Vol. 11 No. 5 (2025): May

Keywords:

Artificial Intelligence (AI), Education; Learning, Physics education

Research Articles

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How to Cite

Arini, W., Yolanda, Y., & Gumay, O. P. U. (2025). The Utilization of Artificial Intelligence (AI) in Physics Learning for Physics Education Students. Jurnal Penelitian Pendidikan IPA, 11(5), 882–889. https://doi.org/10.29303/jppipa.v11i5.11552

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Abstract

This study aims to examine the effectiveness of utilizing Artificial Intelligence (AI) in physics learning for students in the Physics Education program. The research employed a quasi-experimental design with a one-group pretest-posttest approach. The sample consisted of 24 students selected through purposive sampling. Data were collected using physics understanding tests administered before (pretest) and after (posttest) the implementation of AI-based learning. Data analysis involved paired sample t-tests to determine significant differences between pretest and posttest scores, as well as N-Gain calculations to measure the improvement in student learning outcomes. The results revealed a significant improvement in students' physics comprehension after applying AI-based learning, with average pretest and posttest scores of 62.08 and 81.25, respectively. The paired t-test yielded a t-value of 17.82 with a p-value < 0.001, indicating a highly significant difference. The average N-Gain score of 0.53 reflects a moderate improvement in learning outcomes. These findings suggest that integrating AI in physics education can enhance both the learning process and student achievement. This study recommends that educational institutions and instructors adopt AI technology in teaching methods to optimize students competency attainment.

References

Alam, A. (2023). Intelligence Unleashed: An Argument for AI-Enabled Learning Ecologies with Real World Examples of Today and a Peek into the Future. AIP Conference Proceedings, 2717. https://doi.org/10.1063/5.0129803

Allanas, E. (2021). Analysis of Student Perceptions in the Learning Environment Chemical Laboratory. Journal of Physics: Conference Series, 1876(1). https://doi.org/10.1088/1742-6596/1876/1/012066

Alsaleh, N. J. (2020). Teaching Critical Thinking Skills : Literature Review. The Turkish Online Journal of Educational Technology, 19(1), 21-39. Retrieved from https://www.researchgate.net/publication/350011067_Teaching_Critical_Thinking_Skills_Literature_Review

Apriyanti, N., Razak, R. A., Rahim, S. S. A., Shaharom, M. S. N., & Baharuldin, Z. (2020). Infographic Instructional Media as a Solution and Innovation in Physics Learning for Senior High School Students in Indonesia. International Journal of Information and Education Technology, 10(10). https://doi.org/10.18178/ijiet.2020.10.10.1457

Ardiansyah, A., Risnita, R., & Jailani, M. S. (2023). Teknik Pengumpulan Data dan Instrumen Penelitian Ilmiah Pendidikan pada Pendekatan Kualitatif dan Kuantitatif. Jurnal IHSAN: Jurnal Pendidikan Islam, 1(2), 1–9. https://doi.org/10.61104/ihsan.v1i2.57

Bakti, I. K., Zulkarnain, Z., Yarun, A., Rusdi, R., Syaifudin, M., & Syafaq, H. (2023). The Role of Artificial Intelligence in Education: A Systematic Literature Review. Jurnal Iqra’: Kajian Ilmu Pendidikan, 8(2). https://doi.org/10.25217/ji.v8i2.3194

Berrang-Ford, L., Sietsma, A. J., Callaghan, M., Minx, J. C., Scheelbeek, P. F. D., Haddaway, N. R., Haines, A., & Dangour, A. D. (2021). Systematic Mapping of Global Research on Climate and Health: A Machine Learning Review. The Lancet Planetary Health, 5(8). https://doi.org/10.1016/S2542-5196(21)00179-0

Bradley, V. M. (2020). Learning Management System (LMS) Use with Online Instruction. International Journal of Technology in Education, 4(1). https://doi.org/10.46328/ijte.36

Burgess, A., Diggele, C. V., Roberts, C., & Mellis, C. (2020). Tips for Teaching Procedural Skills. BMC Medical Education, 20. https://doi.org/10.1186/s12909-020-02284-1

Furqon, M., Sinaga, P., Liliasari, L., & Riza, L. S. (2023). The Impact of Learning Management System (LMS) Usage on Students. TEM Journal, 12(2). https://doi.org/10.18421/TEM122-54

Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial Intelligence (AI) Applications for Marketing: A Literature-Based Study. International Journal of Intelligent Networks, 3. https://doi.org/10.1016/j.ijin.2022.08.005

Hoppes, E., Nwachukwu, C., Hennegan, J., Blithe, D. L., Cordova-Gomez, A., Critchley, H., Doncel, G. F., Dorflinger, L. J., Haddad, L. B., Mackenzie, A. C. L., Maybin, J. A., Moley, K., Nanda, K., Vieira, C. S., Vwalika, B., Kibira, S. P. S., Mickler, A., OlaOlorun, F. M., Polis, C. B., … & Rountree, L. (2022). Global Research and Learning Agenda for Building Evidence on Contraceptive-Induced Menstrual Changes for Research, Product Development, Policies, and Programs. Gates Open Research, 6. https://doi.org/10.12688/gatesopenres.13609.1

Huang, X. (2021). Aims for Cultivating Students’ Key Competencies Based on Artificial Intelligence Education in China. Education and Information Technologies, 26(5). https://doi.org/10.1007/s10639-021-10530-2

Korteling, J. E. H., Boer-Visschedijk, G. C. V. D., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human- Versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.622364

Kozov, V., Ivanova, G., & Atanasova, D. (2024). Practical Application of AI and Large Language Models in Software Engineering Education. International Journal of Advanced Computer Science and Applications, 15(1). https://doi.org/10.14569/IJACSA.2024.0150168

Lameras, P., & Arnab, S. (2022). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information (Switzerland), 13(1). https://doi.org/10.3390/info13010014

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson. Retrieved from https://static.googleusercontent.com/media/edu.google.com/en//pdfs/Intelligence-Unleashed-Publication.pdf

Pan, Q., Zhou, J., Yang, D., Shi, D., Wang, D., Chen, X., & Liu, J. (2023). Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043097

Paul, M., Jena, L. K., & Sahoo, K. (2020). Workplace Spirituality and Workforce Agility: A Psychological Exploration Among Teaching Professionals. Journal of Religion and Health, 59(1), 135–153. https://doi.org/10.1007/s10943-019-00918-3

Prahanı, B. K., Saphıra, H. V., Wıbowo, F. C., Mısbah, M., & Sulaeman, N. F. (2022). Trend and Visualization of Virtual Reality & Augmented Reality in Physics Learning From 2002-2021. Journal of Turkish Science Education, 19(4). https://doi.org/10.36681/tused.2022.164

Putranta, H., Setiyatna, H., Supahar, S., & Rukiyati, R. (2021). The Effect of Smartphones Usability on High School Students’ Science Literacy Ability in Physics Learning. European Journal of Educational Research, 10(3). https://doi.org/10.12973/EU-JER.10.3.1383

Rani, S., Jining, D., Shah, D., Xaba, S., & Singh, P. R. (2023). Exploring the Potential of Artificial Intelligence and Computing Technologies in Art Museums. ITM Web of Conferences, 53. https://doi.org/10.1051/itmconf/20235301004

Rodríguez, T. F. C. (2022). The Transformation to an Online Course in Higher Education Results in Better Student Academic Performance. RIED-Revista Iberoamericana de Educacion a Distancia, 25(1). https://doi.org/10.5944/ried.25.1.31465

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 for Teachers. Computers in Human Behavior, 115. https://doi.org/10.1016/j.chb.2020.106625

Saleh, S. (2021). Malaysian Students’ Motivation Towards Physics Learning. European Journal of Science and Mathematics Education, 2(4). https://doi.org/10.30935/scimath/9414

Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. F. (2022). The Role of Learners’ Competencies in Artificial Intelligence Education. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100098

Scheunpflug, A. (2020). Global Learning: Educational Research in an Emerging Field. European Educational Research Journal, 20(1). https://doi.org/10.1177/1474904120951743

Seo, K. H., & Lee, J. H. (2021). The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction. Sustainability (Switzerland), 13(8). https://doi.org/10.3390/su13084431

Smutny, P., & Schreiberova, P. (2020). Chatbots for Learning: A Review of Educational Chatbots for the Facebook Messenger. Computers and Education, 151. https://doi.org/10.1016/j.compedu.2020.103862

Su, H., & Wang, J. (2022). Professional Development of Teacher Trainers: The Role of Teaching Skills and Knowledge. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.943851

Sugiyono, P. D. (2022). Metode Penelitian Kualitatif dan Kuantitatif. Bandung: CV Alfabeta.

Sukmawati, E., Adhicandra, I., & Sucahyo, N. (2022). Information System Design of Online-Based Technology News Forum. International Journal of Artificial Intelligence Research, 6(1). https://doi.org/10.29099/ijair.v6i1.2.593

Sukmawati, E., Imanah, N. D. N., & Rantauni, D. A. (2023). Implementation and Challenges of Project-Based Learning of STEAM in the University During the Pandemic: A Systematic Literature Review. JINoP (Jurnal Inovasi Pembelajaran), 9(1). https://doi.org/10.22219/jinop.v9i1.25177

Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4). https://doi.org/10.1016/j.dsx.2020.04.012

Wu, R., & Yu, Z. (2024). Do AI Chatbots Improve Students Learning Outcomes? Evidence from a Meta-Analysis. British Journal of Educational Technology, 55(1). https://doi.org/10.1111/bjet.13334

Yan, D. (2023). Impact of ChatGPT on Learners in a L2 Writing Practicum: An Exploratory Investigation. Education and Information Technologies, 28(11). https://doi.org/10.1007/s10639-023-11742-4

Yang, W. (2022). Artificial Intelligence Education for Young Children: Why, What, and How in Curriculum Design and Implementation. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100061

Zynuddin, S. N., Kenayathulla, H. B., & Sumintono, B. (2023). The Relationship between School Climate and Students’ Non-Cognitive Skills: A Systematic Literature Review. Heliyon, 9(4). https://doi.org/10.1016/j.heliyon.2023.e1477

Author Biographies

Wahyu Arini, PGRI Silampari University

Yaspin Yolanda, PGRI Silampari University

Ovilia Putri Utami Gumay, PGRI Silampari University

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Copyright (c) 2025 Wahyu Arini, Yaspin Yolanda, Ovilia Putri Utami Gumay

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