AI-Integrated STEM-PBL Training: Penguatan TPACK Guru SMP di Kabupaten Majalengka
DOI:
https://doi.org/10.21009/sarwahita.231.03Keywords:
Artificial Intelligence, STEM Education, TPACK, Teacher Training, Problem-Based LearningAbstract
The rapid development of Artificial Intelligence (AI) offers significant opportunities for innovation in STEM (Science, Technology, Engineering, and Mathematics) education through Problem-Based Learning (PBL). However, teachers continue to face challenges in integrating this technology into classroom practice, particularly in areas relatively distant from urban centers, despite the availability of educational facilities. One of the primary barriers is teachers’ limited understanding and skills within the Technological Pedagogical Content Knowledge (TPACK) framework. To address this need, this training program was designed to strengthen teachers’ TPACK in implementing AI-integrated STEM-PBL, with the aim of improving instructional quality while supporting the achievement of Sustainable Development Goal (SDG) 4 on quality education. The program was conducted through interactive workshops, hands-on activities, and mentoring sessions involving university students as collaborative partners between higher education institutions and schools. Findings from a questionnaire using a 5-point Likert scale indicate that the majority of participants (80%) perceived the training as beneficial in enhancing their TPACK skills for designing AI-based STEM-PBL instruction (mean = 4.20; SD = 0.77), and 80% of participants also reported increased confidence in implementing the outcomes of the training (mean = 4.13; SD = 0.74). These findings highlight the importance of systematic and contextually relevant training in equipping teachers with competencies in AI-integrated STEM-PBL and in promoting technology-enhanced educational transformation in secondary schools to improve the quality of education.
References
Adhelacahya, K., Sukarmin, S., & Sarwanto, S. (2023). Impact of Problem-Based Learning Electronics Module Integrated with STEM on Students’ Critical Thinking Skills. Jurnal Penelitian Pendidikan IPA, 9(7), 4869–4878. https://doi.org/10.29303/jppipa.v9i7.3931
AlAli, R. (2024). Enhancing 21St Century Skills Through Integrated Stem Education Using Project-Oriented Problem-Based Learning. Geojournal of Tourism and Geosites , 53(2), 421–430. https://doi.org/10.30892/gtg.53205-1217
Ariyatun, A., & Octavianelis, D. F. (2020). Pengaruh Model Problem Based Learning Terintegrasi Stem Terhadap Kemampuan Berpikir Kritis Siswa. JEC: Journal of Educational Chemistry, 2(1), 33. https://doi.org/10.21580/jec.2020.2.1.5434
Barrera Castro, G. P., Chiappe, A., Becerra Rodriguez, D. F., & Sepulveda, F. G. (2024). Harnessing AI for Education 4.0: Drivers of Personalized Learning. Electronic Journal of E-Learning, 22(5), 01–14. https://doi.org/10.34190/ejel.22.5.3467
Chai, C. S., Rahmawati, Y., & Jong, M. S. Y. (2020). Indonesian science, mathematics, and engineering preservice teachers’ experiences in stem-tpack design-based learning. Sustainability (Switzerland), 12(21), 1–14. https://doi.org/10.3390/su12219050
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732
Dare, E. A., Keratithamkul, K., Hiwatig, B. M., & Li, F. (2021). Beyond content: The role of stem disciplines, real-world problems, 21st century skills, and stem careers within science teachers’ conceptions of integrated stem education. Education Sciences, 11(11). https://doi.org/10.3390/educsci11110737
Davis, C., Bush, T., & Wood, S. (2024). Artificial Intelligence in Education: Enhancing Learning Experiences through Personalized Adaptation. International Journal of Cyber and IT Service Management, 4(1), 26–32. https://doi.org/10.34306/ijcitsm.v4i1.146
Dogan, S., Nalbantoglu, U. Y., Celik, I., & Agacli Dogan, N. (2025). Artificial intelligence professional development: a systematic review of TPACK, designs, and effects for teacher learning. Professional Development in Education, 51(3), 519–546. https://doi.org/10.1080/19415257.2025.2454457
Fajrina, S., Lufri, L., & Ahda, Y. (2020). Science, technology, engineering, and mathematics (STEM) as a learning approach to improve 21st century skills: A review. International Journal of Online and Biomedical Engineering, 16(7), 95–104. https://doi.org/10.3991/ijoe.v16i07.14101
Jibril, M., & Adedokun-Shittu, N. A. (2023). Enhancing Education: A Comprehensive Framework for Integrating Technological Pedagogical Content Knowledge (TPACK) Into Teaching and Learning. Indonesian Journal of Multidiciplinary Research, 4(1), 181–188. https://doi.org/10.17509/ijomr.v4i1.72044
Kaplon-Schilis, A., & Lyublinskaya, I. (2020). Analysis of Relationship Between Five Domains of TPACK Framework: TK, PK, CK Math, CK Science, and TPACK of Pre-service Special Education Teachers. Technology, Knowledge and Learning, 25(1), 25–43. https://doi.org/10.1007/s10758-019-09404-x
Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70. https://doi.org/10.1177/002205741319300303
Korteling, J. E. (Hans), van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human- versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4(March), 1–13. https://doi.org/10.3389/frai.2021.622364
Mansour, N., Said, Z., & Abu-Tineh, A. (2024). Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM. Eurasia Journal of Mathematics, Science and Technology Education, 20(5). https://doi.org/10.29333/ejmste/14467
Moturu, V. R., & Nethi, S. D. (2023). Artificial Intelligence in Education. Lecture Notes in Networks and Systems, 478(July), 233–244. https://doi.org/10.1007/978-981-19-2940-3_16
Mouza, C., Karchmer-Klein, R., Nandakumar, R., Yilmaz Ozden, S., & Hu, L. (2014). Investigating the impact of an integrated approach to the development of preservice teachers’ technological pedagogical content knowledge (TPACK). Computers and Education, 71, 206–221. https://doi.org/10.1016/j.compedu.2013.09.020
Murphy, R. (2019). Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks. Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks, January. https://doi.org/10.7249/pe315
Naseer, F., Khan, M. N., Tahir, M., Addas, A., & Aejaz, S. M. H. (2024). Integrating deep learning techniques for personalized learning pathways in higher education. Heliyon, 10(11), e32628. https://doi.org/10.1016/j.heliyon.2024.e32628
Niess, M. L. (2011). Investigating TPACK: Knowledge growth in teaching with technology. Journal of Educational Computing Research, 44(3), 299–317. https://doi.org/10.2190/EC.44.3.c
Noble, E., Ferris, K. A., Laforce, M., & Zuo, H. (2020). A Mixed-Methods Approach to Understanding PBL Experiences in Inclusive STEM High Schools. European Journal of STEM Education, 5(1), 1–15. https://doi.org/10.20897/ejsteme/8356
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8). https://doi.org/10.29333/ejmste/13428
Pannu, A. (2015). Artificial Intelligence and its Application in Different Areas. Certified International Journal of Engineering and Innovative Technology, 4(10), 2277–3754.
Rahaju, S. (2025). Mentoring the Young Generation of Balongdowo in Making Hand- drawn Batik Through Local Culture-Based Educational STEAM Workshops Pendampingan Generasi Muda Balongdowo dalam Pembuatan Batik Tulis Melalui Workshop STEAM Edukasi Berbasis Budaya Lokal. Short Communication, 1(1), 1–11.
Ratnaya, I. G., Hunaepi, H., Wardani, K. S. K., & Sukiastini, S. (2024). Evaluation of Teachers’ Technological Pedagogical Content Knowledge (TPACK) Understanding Profile. Prisma Sains : Jurnal Pengkajian Ilmu Dan Pembelajaran Matematika Dan IPA IKIP Mataram, 12(1), 210. https://doi.org/10.33394/j-ps.v12i1.10561
Saini, D. A., Sharma, Mrs. D., & Tripathi, Mrs. K. (2025). Artificial Intelligence (Ai) in Education: Using Ai Tools for Teaching and Learning Process. Ijireeice, 13(2). https://doi.org/10.17148/ijireeice.2025.13206
Smith, K., Maynard, N., Berry, A., Stephenson, T., Spiteri, T., Corrigan, D., Mansfield, J., Ellerton, P., & Smith, T. (2022). Principles of Problem-Based Learning (PBL) in STEM Education: Using Expert Wisdom and Research to Frame Educational Practice. Education Sciences, 12(10). https://doi.org/10.3390/educsci12100728
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025). AI-driven adaptive learning for sustainable educational transformation. Sustainable Development, 33(2), 1921–1947. https://doi.org/10.1002/sd.3221
Sun, J., Ma, H., Zeng, Y., Han, D., & Jin, Y. (2023). Promoting the AI teaching competency of K-12 computer science teachers: A TPACK-based professional development approach. Education and Information Technologies, 28(2), 1509–1533. https://doi.org/10.1007/s10639-022-11256-5
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