Bibliometric Analysis in Artificial Intelligence-Based Physics Learning to Support the Achievement of Sustainable Development Goals (SDGs)
DOI:
https://doi.org/10.30998/10y6x393Keywords:
Artificial Intelligence (AI), Physics Learning, Sustainable Development Goals (SDGs), systematic literature review (SLR), Bibliometric AnalysisAbstract
This study aims to identify and analyze research trends on the role of AI in physics learning to support the achievement of SDGs in secondary and higher education systems. In addition, this study explores opportunities for further research using the SLR method. There are 943 articles that have been published in the Scopus database that were searched through publish or perish, then the articles were strictly selected based on exclusion and inclusion criteria. The literature review process uses the PRISMA guidelines to ensure the quality of the article selection results is good. For data analysis of research results, a bibliometric method was used with the help of Vosviewer 1.6.20 software. The results of the study show that AI integrated with physics learning in supporting the achievement of SDGs has been studied by previous researchers. However, it has not been integrated with physics learning and SDGs, so there is still an opportunity for further research, both in terms of integration, methods, and the number of publications that integrate the three. For this reason, researchers recommend further research on the integration of the three. The limitations of this study include the database used from Scopus sources and analyzed using the Vosviewer tool.
Downloads
References
Ajib Shofwanthoni, M., Ridlo, S., & Elmubarok, Z. (2019). The Development of Authentic Assessment Instrument of Hajj Manasik Practices of IX Grade of SMP PGRI 10 Candi in Sidoarjo Regency. Journal of Educational Research and Evaluation, 8(1), 14–21. https://doi.org/10.15294/jere.v8i1.28361
Al-adwan, M. A. S., Mohamed, E., & Qutieshat, A. (2025). Artificial Intelligence In Medicine : Legal Pathways To Sustainable Development Goals (SDGS). Journal of Life Style & SDGs Review, 5, 1–28.
Al-Kamzari, F., & Alias, N. (2025). A systematic literature review of project-based learning in secondary school physics: theoretical foundations, design principles, and implementation strategies. Humanities and Social Sciences Communications, 12(1), 1–18. https://doi.org/10.1057/s41599-025-04579-4
Alfathy, R. M., Saputro, S., Sarwanto, S., & Ramli, M. (2024). Implementation of sustainable development goals in higher education modalities: Literature review. Journal of Turkish Science Education, 21(1), 22–43. https://doi.org/10.36681/tused.2024.002
AlSagri, H. S., & Sohail, S. S. (2024). Evaluating the role of Artificial Intelligence in sustainable development goals with an emphasis on “quality education.” Discover Sustainability, 5(1), 442–458. https://doi.org/10.1007/s43621-024-00682-9
Araújo, C. C. S. de. (2020). A bibliometric analysis of the intellectual structure of studies on slavery in the 21st century. International Journal of Professional Business Review, 5(1), 105–127. https://doi.org/10.26668/businessreview/2020.v5i1.175
Arzak, K. A., & Prahani, B. K. (2023). Practicality of Augmented Reality Books in Physics Learning: A Literature Review. JPPS (Jurnal Penelitian Pendidikan Sains), 12(2), 138–154. https://doi.org/10.26740/jpps.v12n2.p138-154
Astuty, E., Ikhsan, R. B., & Aryanto, R. (2024). Sustainable entrepreneurial culture in promoting innovation: a higher education perspective. International Journal of Evaluation and Research in Education , 13(1), 170–186. https://doi.org/10.11591/ijere.v13i1.26740
Bakri, F., Permana, H., Wulandari, S., & Muliyati, D. (2020). Student worksheet with ar videos: Physics learning media in laboratory for senior high school students. Journal of Technology and Science Education, 10(2), 231–240. https://doi.org/10.3926/JOTSE.891
Coban, A., Dzsotjan, D., Küchemann, S., Durst, J., Kuhn, J., & Hoyer, C. (2025). AI support meets AR visualization for Alice and Bob: personalized learning based on individual ChatGPT feedback in an AR quantum cryptography experiment for physics lab courses. EPJ Quantum Technology, 12(1). https://doi.org/10.1140/epjqt/s40507-025-00310-z
Ding, L., Li, T., Jiang, S., & Gapud, A. (2023). Students’ perceptions of using ChatGPT in a physics class as a virtual tutor. International Journal of Educational Technology in Higher Education, 20(1), 1–18. https://doi.org/10.1186/s41239-023-00434-1
El-Kholei, A. O. (2023). Embedding sustainability and SDGs in architectural and planning education: reflections from a KAP survey, Egypt. International Journal of Architectural Research: Archnet-IJAR, 17(3), 459–477. https://doi.org/10.1108/ARCH-07-2022-0156
Eneva, Y., & Dogan, B. (2025). Evaluation of Medical Diagnosis Capabilities of Three Artificial Intelligence Models – Chatgpt-3.5, Google Gemini, Microsoft Copilot: Sustainable Development Goals (Sdgs). Journal of Lifestyle and SDG’S Review, 5(2), 1–13. https://doi.org/10.47172/2965-730X.SDGsReview.v5.n02.pe03545
Fahrudin, A., Purwaningsih, S., & Marzal, J. (2025). Science literacy and skills of physics education students by developing a project-technology skills learning model. 19(3), 1197–1207. https://doi.org/10.11591/edulearn.v19i3.21839
Franklin, R. (2023). Quantitative methods II. Big Theory. Progress in Human Geography, 1(47), 178–186. https://doi.org/https://doi.org/10.1177/03091325221137334
Huang, L., Zhou, X., & Zhu, W. (2025). The Teaching Model (IT-CSTP) for Integrating Intelligent Technology into Scientific Thinking Cultivation in Physics: A Practical Study for High School Students. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-025-10225-0
Jiao, L., Song, X., You, C., Liu, X., Li, L., Chen, P., Tang, X., Feng, Z., Liu, F., Guo, Y., Yang, S., Li, Y., Zhang, X., Ma, W., Wang, S., Bai, J., & Hou, B. (2024). AI meets physics: a comprehensive survey. In Artificial Intelligence Review (Vol. 57, Issue 9). Springer Netherlands. https://doi.org/10.1007/s10462-024-10874-4
Kholid, M. N., Hendriyanto, A., Sahara, S., Muhaimin, L. H., Juandi, D., Sujadi, I., Kuncoro, K. S., & Adnan, M. (2023). A systematic literature review of Technological, Pedagogical and Content Knowledge (TPACK) in mathematics education: Future challenges for educational practice and research. Cogent Education, 10(2), 1–18. https://doi.org/10.1080/2331186X.2023.2269047
Kieser, F., Wulff, P., Kuhn, J., & Küchemann, S. (2023). Educational data augmentation in physics education research using ChatGPT. Physical Review Physics Education Research, 19(2), 20150. https://doi.org/10.1103/PhysRevPhysEducRes.19.020150
Kortemeyer, G. (2023). Toward AI grading of student problem solutions in introductory physics: A feasibility study. Physical Review Physics Education Research, 19(2), 20163. https://doi.org/10.1103/PhysRevPhysEducRes.19.020163
Lainjo, B. (2024). The Role of Artificial Intelligence in Achieving the United Nations Sustainable Development Goals. Journal of Sustainable Development, 17(5), 30. https://doi.org/10.5539/jsd.v17n5p30
Li, C., & Yin, W. (2025). Interactive online learning method for students based on artificial intelligence. Discover Artificial Intelligence, 5(1). https://doi.org/10.1007/s44163-025-00401-x
Maharani Putri Kumalasani, & Kusumaningtyas, D. I. (2022). 21 St Century Skill In Learning Models With A Steam Approach. Jurnal Riset Pendidikan Dasar, 05(April), 74–81.
Misbah, M., Hamidah, I., Sriyati, S., & Samsudin, A. (2023). Research Trend of Dynamic Fluid in Learning: A Bibliometric Analysis. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 9(2), 263–272. https://doi.org/10.21009/1.09209
Mitarlis, Azizah, U., & Yonata, B. (2023). The Integration Of Green Chemistry Principles In Basic Chemistry Learning To Support Achievement Of Sustainable Development Goals (Sdgs) Through Education. Journal of Technology and Science Education, 13(1), 233–254. https://doi.org/10.3926/jotse.1892
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. https://doi.org/10.1038/s41562-022-01394-8
Prahani, B. K., Nisa’, K., Suliyanah, & Deta, U. A. (2025). Evaluation of ChatGPT research in STEAM education. International Journal of Evaluation and Research in Education, 14(1), 598–611. https://doi.org/10.11591/ijere.v14i1.30423
Prieto-Andreu, J. M., & Labisa-Palmeira, A. (2024). Quick Review of Pedagogical Experiences Using Gpt-3 in Education. Journal of Technology and Science Education, 14(2), 633–647. https://doi.org/10.3926/jotse.2111
Rahayu, M. S. I. (2021). The effectiveness of the use of the android-based carom games comic integrated to discovery learning in improving critical thinking and mathematical representation abilities. Journal of Technology and Science Education, 11(2), 270–283. https://doi.org/10.3926/JOTSE.1151
Rahim, F. R., & Widodo, A. (2024). Computational mapping analysis of artificial intelligence in education publications: A bibliometric approach utilizing vosviewer. Momentum: Physics Education Journal, 8(2), 304–317. https://doi.org/10.21067/mpej.v8i2.9774
Revalde, G., Zholdakhmet, M., Abola, A., & Murzagaliyeva, A. (2025). Can ChatGPT Pass a Physics Test? Technology, Knowledge and Learning, 0123456789. https://doi.org/10.1007/s10758-025-09814-0
Schmitt, J. B., Goldmann, A., Simon, S. T., & Bieber, C. (2023). Conception and Interpretation of Interdisciplinarity in Research Practice: Findings from Group Discussions in the Emerging Field of Digital Transformation. Minerva, 61(2), 199–220. https://doi.org/10.1007/s11024-023-09489-w
Shabira, Q., & Yanti, Y. (2024). Mapping the Literature of Technological Pedagogical and Content Knowledge ( TPACK ) in Elementary Education : A Bibliometric Review. 10(9), 631–643. https://doi.org/10.29303/jppipa.v10i9.8731
Shofiyah, N., Suprapto, N., Prahani, B. K., Jatmiko, B., Anggraeni, D. M., & Nisa’, K. (2024). Exploring undergraduate students’ scientific reasoning in the force and motion concept. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2365579
Sidek, R., Halim, L., Buang, N. A., & Mohamad Arsad, N. (2020). Fostering Scientific Creativity in Teaching and Learning Science in Schools: A Systematic Review. Jurnal Penelitian Dan Pembelajaran IPA, 6(1), 13. https://doi.org/10.30870/jppi.v6i1.7149
Solimun, S., Fernandes, A. A. R., Nurjannah, N., Erwinda, E. G., Hardianti, R., & Arini, L. H. Y. (2023). Metodologi Penelitian: Variabel Mining Berbasis Big Data dalam Pemodelan Sistem untuk Mengungkap Research Novelty. In Metodologi Penelitian: Variabel Mining Berbasis Big Data Dalam Pemodelan Sistem Untuk Mengungkap Research Novelty. https://doi.org/643 https://doi.org/10.11594/ubpress97862329670 52
Suprapto, N., & Hidaayatullaah, H. N. (2023). University Students’ Perspectives on Physics Education in Sustainable Development Goals. Journal of Physics: Conference Series, 2623(1), 1–10. https://doi.org/10.1088/1742-6596/2623/1/012001
Tannar, O., & Susilowati, E. (2025). The significance of artificial intelligent for SDGs civitas academica. Journal of Lifestyle & SDGs Review, 5, 1–23.
Tegeh, I. M., Astawan, I. G., Sudiana, I. K., & Kristiantari, M. G. R. (2021). Murder Learning Model Assisted By Metacognitive Scaffolding To Improve Students’ Scientific Literacy and Numeracy Skills Through Science Studies in Elementary Schools. Jurnal Pendidikan IPA Indonesia, 10(4), 618–626. https://doi.org/10.15294/jpii.v10i4.32926
Tschisgale, P., Wulff, P., & Kubsch, M. (2023). Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory. Physical Review Physics Education Research, 19(2), 20123. https://doi.org/10.1103/PhysRevPhysEducRes.19.020123
Wahyuni, L., & Rahayu, Y. S. (2021). Pengembangan E-Book Berbasis Project Based Learning (PjBL) untuk Melatihkan Kemampuan Berpikir Kreatif pada Materi Pertumbuhan dan Perkembangan Tumbuhan Kelas XII SMA. Berkala Ilmiah Pendidikan Biologi (BioEdu), 10(2), 314–325. https://doi.org/10.26740/bioedu.v10n2.p314-325
Yi, C. (2023). Exploration And Analysis Of Middle School Teachers’ Classroom Questioning Methods From The Perspective Of Dialogue Education. Journal of Law and Sustainable Development, 11(6), 234–255. https://doi.org/10.55908/sdgs.v11i6.834
Zhang, Z. (2020). Deep reinforcement learning for power system applications: An overview. In CSEE Journal of Power and Energy Systems (Vol. 6, Issue 1, pp. 213–225). https://doi.org/10.17775/CSEEJPES.2019.00920
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Maimon Sumo, Finsensius Oetpah, Ratno Budiyanto, S. Ida Kholida MS, Suprianto (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
