PBL MODEL INTEGRATED STEM-EDP WITH DEEP LEARNING PRINCIPLES TO IMPROVE COMPUTATIONAL THINKING SKILLS
DOI:
https://doi.org/10.59052/edufisika.v11i2.56938Keywords:
Computational Thinking, STEM, EDP, PBLAbstract
This research evaluated whether a Problem-Based Learning (PBL) model combining STEM-EDP and Deep Learning principles could strengthen students’ computational thinking in sound-wave instruction. A quasi-experimental pretest-posttest control group design was implemented at YP Unila High School, with class XI-6 assigned as the experimental class and XI-9 as the control class. Computational thinking was measured through essay questions. The experimental class achieved an average N-gain of 0.54, compared with 0.37 in the control class. The Independent Sample T-Test produced Sig. (2-tailed) < 0.05, while ANCOVA also yielded Sig. < 0.05 and a partial eta-squared value of 0.362, categorized as a large effect. These results show that integrating PBL, STEM-EDP, and Deep Learning principles effectively improved computational thinking. The contribution of the study lies in demonstrating how the three components can operate simultaneously in sound-wave learning: PBL establishes an authentic problem, STEM-EDP structures the engineering response, and Deep Learning principles maintain meaningful reflection. The design offers physics teachers and curriculum developers a reproducible option for strengthening computational thinking within Merdeka Belajar through engineering tasks connected to local contexts.
References
Abdurrahman, A., Maulina, H., Nurulsari, N., Sukamto, I., Umam, A. N., & Mulyana, K. M. (2023). Impacts of integrating engineering design process into STEM makerspace on renewable energy unit to foster students’ system thinking skills. Heliyon, 9(4), e15136. https://doi.org/10.1016/j.heliyon.2023.e15136
Anggraeni, D. M., Prahani, B. K., Suprapto, N., Shofiyah, N., & Jatmiko, B. (2023). System-atic review of problem based learning research in fostering critical thinking skills. Thinking Skills and Creativity, 49, 101334. https://doi.org/10.1016/j.tsc.2023.101334
Asrianti, M. A., & Rakhmawati, F. R. (2024). The Effect of Problem-Based Learning Model on Students’ Mathematical Computational Thinking Skills. JME (Journal of Mathe-matics Education), 9(1), 83–88. https://doi.org/10.31327/jme.v9i1.2168
Atmojo, W. T., Ayunda, A. T., Audrey, K. K., Mareti, G. T., & Christopher. (2024). Pening-katan Pemahaman Computational Thinking Dalam Rangka Menghadapi Era Society 5.0. Jurnal Pengabdian Kepada Masyarakat Nusantara, 5(1), 1336-1342. https://doi.org/10.55338/jpkmn.v5i1.2935
Ayida, L. P., Abdurrahman, A., Wicaksono, B. A., & Herlina, K. (2025). Implementation of the 5E model integrated STEM-EDP to enhance high school students' creative prob-lem-solving ability. Jurnal Pendidikan Fisika dan Teknologi, 11(1), 171–179. https://doi.org/10.29303/jpft.v11i1.8408
Chen, L.-X., Su, S.-W., Liao, C.-H., Yan, J.-Y., & Yuan, S.-M. (2026). The impact of compu-tational thinking teaching aids on secondary students: A digital game application. Thinking Skills and Creativity, 62, 102222. https://doi.org/10.1016/j.tsc.2026.102222
Creswell, J. W., & Creswell, J. D. (2022). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). SAGE Publications.
Erwanto, E., Sukesti, S., & Rahayu, S. (2023). Pembelajaran IPA Berbasis STEM-EDP untuk Meningkatkan Keterampilan Berpikir Kritis dan Berpikir Komputasi. Jurnal Pendidi-kan Sains Indonesia, 11(2), 245–256. https://doi.org/10.24815/jpsi.v11i2.28900
Febriansari, D., Sarwanto, S., & Yamtinah, S. (2022). Konstruksi Model Pembelajaran STEAM (Science, Technology, Engineering, Arts, and Mathematics) dengan Pen-dekatan Design Thinking pada Materi Energi Terbarukan. JINoP (Jurnal Inovasi Pembelajaran), 8(2), 186–200. https://doi.org/10.22219/jinop.v8i2.22021
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). Sage Publica-tions.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to Design and Evaluate Research in Education (10th ed.). McGraw-Hill.
Handayani, E. S., Fernando, F., Gaspersz, S., Ridwan, Ahmadin, & Kusumarini, E. (2025). Implementasi Pembelajaran Mendalam (Deep Learning) dalam Meningkatkan Efektivitas Kurikulum Berdampak di Sekolah. Jurnal Edu Research, 6(2), 1522–1535. https://doi.org/10.47861/edu.v6i2.1392
Hidayat, M. F., & Syuhendri, J. (2024). Pengaruh Model Problem Based Learning (PBL) Terhadap Kemampuan Computational Thinking Siswa pada Materi Gelombang dan Bunyi. Jurnal Pendidikan Fisika, 12(1), 34–45. https://doi.org/10.24114/jpf.v12i1.51200
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Edu-cational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
Inganah, S., Darmayanti, R., & Rizki, N. (2023). Problems, Solutions, and Expectations: 6C Integration of 21st Century Education into Learning Mathematics. JEMS: Jurnal Edukasi Matematika Dan Sains, 11(1), 220–238. https://doi.org/10.25273/jems.v11i1.14646
Kong, S. C., & Abelson, H. (Eds.). (2019). Computational Thinking Education. Springer Nature. https://doi.org/10.1007/978-981-13-6528-7
Lestari, R. V. A., & Hindun. (2023). Penerapan 4C (Communication, Collaboration, Critical Thinking, Creativity) Pada Kurikulum Merdeka di Tingkat SMA. Journal of Indone-sian Language Research, 3(2), 15–26.
Li, Q., & Liang, X. (2023). Fostering computational thinking through STEM education: A systematic review. Journal of Educational Computing Research, 61(4), 855–880. https://doi.org/10.1177/07356331221117593
Lockwood, E., & De Chenne, A. (2020). Enriching students’ understanding of mathematical concepts through computational thinking. International Journal of Research in Un-dergraduate Mathematics Education, 6(3), 411–436. https://doi.org/10.1007/s40753-020-00118-0
Mardhiyah, R. H., Aldriani, S. N. F., Febyana, C., & Zulfikar, M. R. (2021). Pentingnya Keterampilan Belajar di Abad 21 sebagai Tuntutan dalam Pengembangan Sumber Daya Manusia. Lectura: Jurnal Pendidikan, 12(1), 29–40. https://doi.org/10.31349/lectura.v12i1.5813
Maulidia, D., Winarno, N., Hasanah, L., & Syifa, M. (2025). Enhancing computational think-ing and learning engagement through STEM-based water turbine project. Tarbiyah: Jurnal Ilmiah Kependidikan, 14(2), 281–301. https://doi.org/10.18592/tarbiyah.v14i2.16029
Mauludyah, Y. R., Putra, P. D. A., & Ahmad, N. (2023). Penerapan LKPD berbasis Engineer-ing Design Process (EDP) pada pembelajaran IPA terhadap computational thinking skill dan hasil belajar siswa. Edu Sains: Jurnal Pendidikan Sains & Matematika, 11(1), 34–43. https://doi.org/10.23971/eds.v11i1.4019
Moreno-Palma, N., Hinojo-Lucena, F. J., Romero-Rodríguez, J. M., & Cáceres-Reche, M. P. (2024). Effectiveness of Problem-Based Learning in the Unplugged Computational Thinking of University Students. Education Sciences, 14(7), 688. https://doi.org/10.3390/educsci14070688
Musfiroh, M., Suwarma, I. R., & Efendi, R. (2024). Enhancing Physics Learning Through the 7E Learning Cycle Model: A Systematic Literature Review. Indonesian Journal of Science and Mathematics Education, 7(3), 531–544. https://doi.org/10.24042/ijsme.v7i3.23093
Nasution, M. A., Rahmawati, D., & Siregar, N. (2025). Implementasi Prinsip Deep Learning untuk Meningkatkan Pemahaman Konsep Fisika Peserta Didik SMA. Jurnal Pendidikan Fisika dan Sains, 8(1), 12–22. https://doi.org/10.30743/jpf.v8i1.6200
Negoro, R. A., & Wiyanto. (2025). Assessing Computational Thinking Skills: Physics Com-putational Test Based on Scratch Program for High School Students. Jurnal Pembelajaran Fisika, 14(2), 60–70. https://doi.org/10.19184/jpf.v13i3.48554
Permata, C. A., & Istiyono, E. (2021). Desain Instrumen Penilaian Computational Thinking dalam Pembelajaran Fisika SMA. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 7(2), 145–154. https://doi.org/10.21009/1.07206
Putri, A. J., Sukmono, T., & Wicaksana, E. J. (2023). The Influence of Problem Based Learn-ing (PBL) Model Based on STEM Approach on Critical Thinking Ability Phase-E in Biology Learning. Jurnal Penelitian Pendidikan IPA, 9(9), 7056–7063. https://doi.org/10.29303/jppipa.v9i9.4995
Rahman, A. A. (2022). Integrasi Computational Thinking dalam Model EDP-STEM untuk Meningkatkan Kemampuan Berpikir Kritis Siswa SMP. Jurnal Didaktika Pendidikan Dasar, 6(2), 575–590. https://doi.org/10.26811/didaktika.v6i2.409
Rahimi, E., & Shute, V. J. (2021). First things first: Assessing computational thinking before and during coding. Computers & Education, 173, 104285. https://doi.org/10.1016/j.compedu.2021.104285
Ramli, M., Sholikhah, S. M. F., Ariani, S. R. D., & Zahro, A. S. (2024). Working as Scientist and Engineer: A Strategy for Empowering Critical Thinking Skills through the STEM-EDP Learning Design. IJIS Edu: Indonesian Journal of Integrated Science Education, 6(2), 99–107. https://doi.org/10.29300/ijisedu.v6i2.11844
Riwayani, Istiyono, E., Supahar, Perdana, R., Jumadi, & Soeharto. (2025). A systematic lit-erature review of computational thinking study in physics learning. International Journal of Evaluation and Research in Education, 14(4), 2698–2709. https://doi.org/10.11591/ijere.v14i4.29632
Safitri, W., Suyanto, S., & Prasetya, W. A. (2024). The influence of the STEM-based engi-neering design process model on high school students’ creative and critical thinking abilities. Jurnal Penelitian Pendidikan IPA, 10(2), 662–673. https://doi.org/10.29303/jppipa.v10i2.4765
Sarnita, S., & Rosana, D. (2022). Penerapan Problem-Based Learning Terintegrasi STEM untuk Meningkatkan Computational Thinking Skill Siswa SMA. Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 11(1), 89–102. https://doi.org/10.24042/jipfalbiruni.v11i1.11200
Shute, V. J., Sun, C., & Asbell-Clarke, J. (2019). Demystifying computational thinking. Edu-cational Research Review, 27, 142–158. https://doi.org/10.1016/j.edurev.2019.02.003
Sugiyono. (2019). Metode Penelitian Pendidikan (Kuantitatif, Kualitatif, Kombinasi, R&D dan Penelitian Pendidikan). Alfabeta.
Suherman, A., Harsono, Y., & Widiyasari, T. (2025). The impact of learning independence on self-efficacy and academic success of elementary students in West Papua. Tadris: Jurnal Keguruan dan Ilmu Tarbiyah, 10(1), 1–12. https://doi.org/10.24042/tadris.v10i1.24838
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Tikva, C., & Tambouris, E. (2021). Mapping computational thinking components in primary and secondary education: A systematic review. Computers & Education, 175, 104321. https://doi.org/10.1016/j.compedu.2021.104321
Widodo, S., & Wardani, R. K. (2020). Mengajarkan Keterampilan Abad 21 4C (Communication, Collaboration, Critical Thinking and Problem Solving, Creativity and Innova-tion) di Sekolah Dasar. Modeling: Jurnal Program Studi PGMI, 7(2), 185-197. https://doi.org/10.69896/modeling.v7i2.665
Yusmar, F., & Fadilah, R. E. (2023). Analisis Rendahnya Literasi Sains Peserta Didik Indo-nesia: Hasil Pisa Dan Faktor Penyebab. LENSA (Lentera Sains): Jurnal Pendidikan IPA, 13(1), 11–19. https://doi.org/10.24929/lensa.v13i1.283
Zakwandi, R., & Istiyono, E. (2023). A framework for assessing computational thinking skills in the physics classroom: Study on cognitive test development. SN Social Sci-ences, 3(3), 46. https://doi.org/10.1007/s43545-023-00633-7
Zhang, B., & Tang, X. (Eds.). (2021). Physics Education as a Pathway to 21st Century Skills. Springer Nature. https://doi.org/10.1007/978-981-16-0163-7
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Indah Sukma Melati, Abdurrahman Abdurrahman, Viyanti Viyanti, Kartini Herlina
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
![](<a href="https://doaj.org/toc/2477-7935" target="_blank" style="display: block; width: 150px; height: auto;"><img src="https://doaj.org/static/doaj/images/logo/seal.png"/></a>){kind=logo}
