Published: 2025-03-05
Developing a Deep Learning-Based Curriculum Model to Enhance Students’ Critical Thinking Skills in the Era of Industrial Revolution 4.0
DOI: 10.35870/ijecs.v5i1.3998
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Abstract
An analysis of the impact of Industry 4.0 on education has revealed a strong demand for learners to possess critical thinking, evaluate data, and navigate digital systems. This study proposes a curriculum model based on deep learning principles aimed at enhancing students' critical thinking skills in technology-mediated learning environments. A qualitative methodology was adopted to examine teachers, students, and educational experts' perceptions of integrating deep learning into classroom practice. Data collection included questionnaires, classroom observations, interviews, and an extensive literature review; these were thematically analyzed for patterns related to technological adaptation, instructional challenges, and students' analytical needs. Results indicated sustained improvement in students' critical thinking skills post-application of the curriculum model. Project-based tasks involving machine-learning tools shifted student engagement from recall to deeper interaction with complex problems as they increasingly gained confidence in analyzing data content and context system outputs and justifying their choices. These gains were underpinned by changes in teaching practices characterized by dialogic questioning adopted problem-based scenarios and collaborative reasoning creating a learning environment where students felt safe testing ideas against evidence and revising conclusions based on careful consideration. The results imply that deep learning principles embedded within curriculum structures provide a pragmatic pathway toward preparing students for the analytical challenges presented by Industry 4.0; however, successful implementation necessitates robust teacher preparation, technological infrastructure, and flexibility within the curriculum itself. This study thus offers a curriculum framework that fosters reflective inquiry alongside structured experimentation and responsible use of digital tools—competencies crucial for students navigating an uncertain future characterized by rapid technological change.
Keywords
Deep Learning ; Critical Thinking ; Curriculum Development ; Industry 4.0 ; Digital Education
Article Information
This article has been peer-reviewed and published in the International Journal Education and Computer Studies (IJECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 1 (2025)
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Section: Articles
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/ijecs.v5i1.3998
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Ayu Raihani
Education Study Program, Faculty of Teacher Training, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.
Nabila
Education Study Program, Faculty of Teacher Training, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.
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Arifin, M., Noviyanti, N., & Berliani, D. (2025). Model-model pembelajaran di era 5.0 dan tantangan dalam implementasi. DIAJAR: Jurnal Pendidikan dan Pembelajaran, 4(3), 418–424. https://doi.org/10.54259/diajar.v4i3.4436
-
Brown, T., & Ezell, S. (2015). The case for a national manufacturing strategy. The Information Technology & Innovation Foundation.
-
Budimansyah, D., & Fitriasari, S. (2020, March). Development of critical thinking skills through the citizenship education course in the era of Industrial Revolution 4.0. In 2nd Annual Civic Education Conference (ACEC 2019) (pp. 256–261). Atlantis Press. https://doi.org/10.2991/assehr.k.200320.050
-
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
-
Dewi, L., & Sutisna, M. R. (2019, April). Designing project-based learning to develop students’ creativity in the fourth industrial revolution. In 8th UPI–UPSI International Conference 2018 (UPI–UPSI 2018) (pp. 119–125). Atlantis Press. https://doi.org/10.2991/upiupsi-18.2019.21
-
Ghiffar, M. A. N., Nurisma, E., Kurniasih, C., & Bhakti, C. P. (2018, May). Model pembelajaran berbasis blended learning dalam meningkatkan critical thinking skills untuk menghadapi era revolusi industri 4.0. In Prosiding Seminar Nasional STKIP Andi Matappa Pangkep (Vol. 1, No. 1, pp. 85–94). https://doi.org/10.31316/js.v20i1.7662
-
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
-
Halim, A. (2025). Kurikulum deep learning sebagai sarana meningkatkan kesiapan kerja di era Industri 4.0. JIMU: Jurnal Ilmiah Multidisipliner, 3(4). https://doi.org/10.70294/jimu.v3i04.1025
-
Ilori, M. O., & Ajagunna, I. (2020). Re-imagining the future of education in the era of the fourth industrial revolution. Worldwide Hospitality and Tourism Themes, 12(1), 3–12. https://doi.org/10.1108/WHATT-10-2019-0066
-
Karim, S., & Parhan, M. (2025). The implementation of fun-based learning as a deep learning approach strategy in 21st century education: A perspective study of social studies teachers in Bandung City. Electronic Journal of Education, Social Economics and Technology, 6(2), 709. https://doi.org/10.33122/ejeset.v6i2.709
-
Mbizi, R., Sifile, O., Gasheja, F., Twesige, D., Gwangava, E., Makurumidize, S., ... & Sunday, K. (2022). Accountants in Africa and the evolving fourth industrial revolution (4IR): Towards a competency framework. Cogent Business & Management, 9(1), 2117153. https://doi.org/10.1080/23311975.2022.2117153
-
Ministry of Education, Culture, Sports, Science and Technology. (2019). Guidelines for the promotion of education in the era of Society 5.0. Government of Japan.
-
Naidoo, P., & Sibanda, M. (2024, December). Integrating artificial intelligence in electrical engineering education: A framework for the fourth industrial revolution. In The Focus Conference (TFC 2024) (pp. 313–327). Atlantis Press. https://doi.org/10.2991/978-94-6463-630-7_17
-
OECD. (2018). The future of education and skills: Education 2030. OECD Publishing.
-
Rukmansyah, E. T. (2020). Model pembelajaran berbasis RASTEM untuk meningkatkan critical thinking skills di era revolusi industri 4.0. Jurnal Metaedukasi: Jurnal Ilmiah Pendidikan, 2(2), 102–109. https://doi.org/10.37058/metaedukasi.v2i2.2517
-
Sajidan, S., Suranto, S., Atmojo, I. R. W., Ardiansyah, R., & Saputri, D. Y. (2021, September). Learning framework in the Industrial Revolution 4.0 and the Society 5.0 era through the problem-based learning critical thinking model. In Proceedings of the 5th International Conference on Learning Innovation and Quality Education (pp. 1–5). https://doi.org/10.1145/3516875.3517000
-
Tirtoni, F., Su’udiyah, F., & Susilo, J. (2019). Pengembangan media smart exploding box berbasis deep dialogue critical thinking untuk menghadapi era revolusi industri 4.0. Jurnal Pendidikan Dasar Nusantara, 5(1), 191–204. https://doi.org/10.29407/jpdn.v5i1.13589
-
Winata, K. A. (2020). Model pembelajaran kolaboratif dan kreatif untuk menghadapi tuntutan era revolusi industri 4.0. Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme, 2(1), 12–24. https://doi.org/10.37680/scaffolding.v2i1.193
-
Yuliandi, A., & Jalinus, N. (2024). Era 4.0 curriculum development design. Indonesia Journal of Engineering and Education Technology, 2(1), 91–98. https://doi.org/10.61991/ijeet.v2i1.16
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