ARTIFICIAL INTELLIGENCE: TINJAUAN FILSAFAT, POTENSI RESIKO TERHADAP KETERAMPILAN BERPIKIR KRITIS, LITERASI SAINS DAN MISKONSEPSI FISIKA SISWA
Kata Kunci:
Artificial Intelligence, Keterampilan Berpikir Kritis, Literasi Sains, Miskonsepsi FisikaAbstrak
Penelitian ini menganalisis tren dan arah perkembangan riset mengenai penerapan Artificial Intelligence (AI) dalam pembelajaran fisika, khususnya terhadap keterampilan berpikir kritis, literasi sains, dan miskonsepsi siswa. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan pendekatan bibliometrik berbasis kerangka PRISMA. Sumber data berasal dari artikel jurnal internasional bereputasi Scopus dan WoS periode 2020–2025 dengan kata kunci relevan terkait AI dalam pendidikan fisika dan dampaknya terhadap keterampilan abad ke-21. Hasil penelitian menunjukkan bahwa AI memiliki potensi besar dalam meningkatkan kemampuan berpikir kritis dan literasi sains melalui deep learning. Namun, peran guru tetap penting sebagai fasilitator nilai, etika, dan pemahaman konseptual agar pembelajaran tidak kehilangan makna. Tanpa pendampingan yang memadai, penggunaan AI dapat menimbulkan miskonsepsi dan melemahkan daya kritis siswa. Tren riset kedepan disarankan mengintegrasikan AI dengan pendekatan Lesson Study menggunakan Case Based Learning dan Inquiry Based Learning secara kolaboratif untuk meningkatkan literasi sains dan pemahaman konsep fisika siswa.
Referensi
Alghalbie, F., Elnaem, M. H., & McCarron, P. A. (2026). Perspectives on artificial intelligence use in pharmacy education in Northern Ireland: A qualitative study based on the unified theory of acceptance and use of technology. Currents in Pharmacy Teaching and Learning, 18(1).https://doi.org/10.1016/j.cptl.2025.102490
Azap, S. (2025). The role of artificial intelligence in language teacher education: EFL learners’ views on the concept of “ChatGPT” through metaphorical analysis. Social Sciences and Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2025.101394
Bignami, E., Darhour, L. J., Buhre, W., Cecconi, M., & Bellini, V. (2025). Artificial intelligence in healthcare: Tailoring education to meet EU AI-Act standards. Health Policy and Technology, 14(6). https://doi.org/10.1016/j.hlpt.2025.101078
Chan, J. H. M., Ho, K. H. M., & Dias, J. M. (2025). Strategies to incorporate generative artificial intelligence in simulation-based education among undergraduate students of healthcare professions: A scoping review. In Clinical Simulation in Nursing (Vol. 106). Elsevier Inc. https://doi.org/10.1016/j.ecns.2025.101795
Cheah, Y. H., Lu, J., & Kim, J. (2025). Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100363
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. In Computers and Education: Artificial Intelligence (Vol. 4). Elsevier B.V. https://doi.org/10.1016/j.caeai.2022.100118
Clorion, F. D. D., Fuentes, J. O., Suicano, D. J. B., Estigoy, E. B., Eijansantos, A. M., Rillo, R. M., Pantaleon, C. E., Francisco, C. I., Delos Santos, M. R., & Alieto, E. O. (2025). AI-Powered Professionals and Digital Natives: A Correlational Analysis of the Use and Benefits of Artificial Intelligence for the Employability Skills of Postgraduate Education Students. Procedia Computer Science, 263, 107–114. https://doi.org/10.1016/j.procs.2025.07.014
Daram, N. R., Maxwell, R. A., D’Amato, J., & Massengill, J. C. (2025). Can artificial intelligence improve the readability of patient education information in gynecology? American Journal of Obstetrics and Gynecology. https://doi.org/10.1016/j.ajog.2025.06.047
Daryanes, F., Darmadi, D., Fikri, K., Sayuti, I., Rusandi, M. A., & Situmorang, D. D. B. (2023). The development of articulate storyline interactive learning media based on case methods to train student’s problem-solving ability. Heliyon, 9(4). https://doi.org/10.1016/j.heliyon.2023.e15082
Fombona, J., Sáez, J. M., & Sánchez, S. (2025). Artificial intelligence and robotics in education: Advances, challenges, and future perspectives. In Social Sciences and Humanities Open (Vol. 11). Elsevier Ltd. https://doi.org/10.1016/j.ssaho.2025.101533
Fundi, M., Sanusi, I. T., Oyelere, S. S., & Ayere, M. (2024). Advancing AI education: Assessing Kenyan in- service teachers’ preparedness for integrating artificial intelligence in competence-based curriculum. Computers in Human Behavior Reports, 14. https://doi.org/10.1016/j.chbr.2024.100412
Ganti, S. (2025). AI Driven Talent Acquisition: Integrating Agile and Lean Six Sigma for Process Optimization and Candidate Experience. Qubahan Academic Journal, 5(3), 427–435. https://doi.org/10.48161/qaj.v5n3a1835
Holtbrügge, D., Wicht, L., & Bernhard, T. (2025). The use and usefulness of artificial intelligence in international business education. Evidence from a field study. International Journal of Management Education, 23(3). https://doi.org/10.1016/j.ijme.2025.101258
Ingason, H. T., Aaltonen, K., Asmundarson, A. S., Fridgeirsson, T. V., Huemann, D., Huemann, M., Kujala, J., Lampela, H., Mancini, M., Mariani, C., & Ringhofer, C. (2025). Personalised Learning in Project management Education: Insights from an Artificial Intelligence-Driven Chatbot. Project Leadership and Society, 100193. https://doi.org/10.1016/j.plas.2025.100193
Jin, Z., Goyal, S. B., & Rajawat, A. S. (2024). The Informational Role of Artificial Intelligence in higher Education in the New era. Procedia Computer Science, 235, 1008–1023. https://doi.org/10.1016/j.procs.2024.04.096
Joo, K. H., & Park, N. H. (2024). Teaching and Learning Model for Artificial Intelligence Education.
Procedia Computer Science, 239, 226–233. https://doi.org/10.1016/j.procs.2024.06.166
Khurramov, A. J., Axmedshaeva, M. A., Mukhitdinova, F. A., Xudayberdiyeva, G. A., Almosova, S. S.,
Makhamatov, M. M., & Khayitov, S. R. (2025). Artificial Intelligence in Education: Analysis and Assessment of Legal Knowledge Using AI Tools. Qubahan Academic Journal, 5(3), 264–293. https://doi.org/10.48161/qaj.v5n3a2022
Kohnke, L., & Moorhouse, B. L. (2025). Enhancing the emotional aspects of language education through generative artificial intelligence (GenAI): A qualitative investigation. Computers in Human Behavior,
https://doi.org/10.1016/j.chb.2025.108600
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring Artificial Intelligence in Academic Essay: Higher Education Student’s Perspective. International Journal of Educational Research Open, 5. https://doi.org/10.1016/j.ijedro.2023.100296
Martínez-Comesaña, M., Rigueira-Díaz, X., Larrañaga-Janeiro, A., Martínez-Torres, J., Ocarranza-Prado, I., & Kreibel, D. (2023). Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review. Revista de Psicodidáctica (English Ed.), 28(2), 93–103. https://doi.org/10.1016/j.psicoe.2023.06.002
Matos, T., Santos, W., Zdravevski, E., Coelho, P. J., Pires, I. M., & Madeira, F. (2025). A systematic review of artificial intelligence applications in education: Emerging trends and challenges. In Decision Analytics Journal (Vol. 15). Elsevier Inc. https://doi.org/10.1016/j.dajour.2025.100571
McGrath, C., Cerratto Pargman, T., Juth, N., & Palmgren, P. J. (2023). University teachers’ perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100139
Mohd Amin, M. R., Ismail, I., & Sivakumaran, V. M. (2025). Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL). In Social Sciences and Humanities Open (Vol. 11). Elsevier Ltd. https://doi.org/10.1016/j.ssaho.2025.101308
Muis, A., Jamaluddin, A. Bin, & Pratiwi, A. C. (2025). Inclusive Education in Science: Factors Influencing the Development of Reflective Thinking and Problem-Solving. Qubahan Academic Journal, 5(3), 462–473. https://doi.org/10.48161/qaj.v5n3a1832
Németh, R., Tátrai, A., Szabó, M., Zaletnyik, P. T., & Tamási, Á. (2025). Exploring the use of retrieval- augmented generation models in higher education: A pilot study on artificial intelligence-based tutoring. Social Sciences and Humanities Open, 12. https://doi.org/10.1016/j.ssaho.2025.101751
Olari, V., & Romeike, R. (2024). Data-related concepts for artificial intelligence education in K-12.
Computers and Education Open, 7. https://doi.org/10.1016/j.caeo.2024.100196
Panday-Shukla, P. (2025). Exploring generative artificial intelligence in teacher education. Teaching and Teacher Education, 165. https://doi.org/10.1016/j.tate.2025.105088
Pino Tarragó, J. C., Domínguez Gálvez, D. L., Regalado Jalca, J. J., & Villavicencio Cedeño, E. G. (2025). Artificial intelligence and soft skills in civil engineering education: A Latin American curriculum gap with global implications. Research in Globalization, 11. https://doi.org/10.1016/j.resglo.2025.100307
Russell, R. G., White, J., Karns, A., Rodriguez, K., Jeffries, P. R., & Sengstack, P. (2025). Toward amplifying the good in nursing education: A quality improvement study on implementing artificial intelligence- based assistants in a learning system. Nursing Outlook, 73(5). https://doi.org/10.1016/j.outlook.2025.102483
Schmidt, D. A., Alboloushi, B., Thomas, A., & Magalhaes, R. (2025). Integrating artificial intelligence in higher education: perceptions, challenges, and strategies for academic innovation. Computers and Education Open, 9. https://doi.org/10.1016/j.caeo.2025.100274
Sharab, L., Butul, B., & Guha, U. (2024). Integrating Critical thinking and embracing Artificial Intelligence: Dual Pillars for advancing dental education. Saudi Dental Journal, 36(12), 1660–1667. https://doi.org/10.1016/j.sdentj.2024.11.004
Smit, M., Bond-Barnard, T., & Wagner, R. F. (2025). Artificial intelligence in South African higher education: Survey data of master’s level students. Data in Brief, 61. https://doi.org/10.1016/j.dib.2025.111813
Stolpe, K., & Hallström, J. (2024). Artificial intelligence literacy for technology education. Computers and Education Open, 6. https://doi.org/10.1016/j.caeo.2024.100159
Sun, J., Huang, X., Sun, X., Jiang, Q., Yang, C., Wei, W., Miao, W., & Gu, C. (2025). A catalyst for education? A study on the impact of artificial intelligence assisted learning in painting courses on college students’ continuous learning intention. Acta Psychologica, 258. https://doi.org/10.1016/j.actpsy.2025.105130
Wang, C., Li, T., Lu, Z., Wang, Z., Alballa, T., Alhabeeb, S. A., Albely, M. S., & Khalifa, H. A. E. W. (2025). Application of artificial intelligence for feature engineering in education sector and learning science. Alexandria Engineering Journal, 110, 108–115. https://doi.org/10.1016/j.aej.2024.09.100
Wong, W. K. O. (2024). The sudden disruptive rise of generative artificial intelligence? An evaluation of their impact on higher education and the global workplace. Journal of Open Innovation: Technology, Market, and Complexity, 10(2). https://doi.org/10.1016/j.joitmc.2024.100278
Yolanda, Y., Arini, W., Effendi, Pridadi, I. A., Setiawan, T., & Sapiruddin. (2025). High Efficiency, Low Emissions And High Power: Iot Based Biomass Stove Fueled By Corn Cob And Coconut Shell For Sustainable Renewable Energy. International Journal of Environmental Sciences, 11(23s), 5329–5343. https://doi.org/https://doi.org/10.64252/apvsya80
Yolanda, Y., Arini, W., Fauziah, A., Effendi, E., & Pribadi, I. A. (2025). Artificial Intelligence assisted Renewable Energy Case Based Learning Integrated with Science Process Skills and Digital Literacy. Jurnal Penelitian Dan Pengkajian Ilmu Pendidikan: E-Saintika, 9(2), 405–428. https://doi.org/10.36312/e-saintika.v9i2.3050
Zhang, M., & Yu, S. (2025). A review on the preparedness of Chinese maritime law education for emerging industry and technology trends: Sustainable net-zero shipping, maritime digitalization, and application of artificial intelligence technologies. Sustainable Futures, 9.
https://doi.org/10.1016/j.sftr.2025.100752
Zhou, Y., Thurasamy, R., Yusof, R., Zhang, P., Li, X., & Ling, S. (2025). Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator. Acta Psychologica, 258.

