Menjelajahi Peluang dan Tantangan Integrasi Pembelajaran Mendalam dalam Pendidikan Dasar: Tinjauan Literatur Sistematis
DOI:
https://doi.org/10.56916/ejip.v4i4.2273Keywords:
Deep learning , primary education, learning effectiveness, educational transformation, systematic reviewAbstract
The rapid advancement of digital technology has catalyzed a paradigm shift in global education, positioning deep learning (DL) as a promising pedagogical innovation. While DL has gained traction in higher education, its integration in primary education remains underexplored. This study conducts a systematic literature review to examine the opportunities and challenges of implementing DL at the primary school level. Utilizing the PRISMA framework, 30 peer-reviewed articles published between 2020 and 2025 from Scopus, Web of Science, and Google Scholar were critically analyzed. The findings are synthesized into three key themes: instructional effectiveness, teacher preparedness, and systemic infrastructure.The review reveals that DL fosters improved learning outcomes through adaptive, reflective, and personalized approaches, enhancing literacy, student engagement, and critical thinking. Nonetheless, widespread adoption is constrained by limited digital competence among teachers, inadequate professional development, infrastructural disparities, and fragmented policy frameworks. This study underscores the need for targeted teacher training, equitable technology access, and multi-stakeholder policy alignment. The integration of DL in primary education should be approached not as a mere technological enhancement but as a systemic educational transformation grounded in innovation, inclusivity, and sustainable policy development
References
Cao, Y. , & Y. S. (2024). The Research on the Application of Deep Learning in Education. IETI Transactions on Data Analysis and Forecasting (ITDAF). https://doi.org/10.3991/itdaf.v2i3.51413
Chen, M., Chai, C. S., Jong, M. S. Y., & Jiang, M. Y. C. (2021). Teachers’ Conceptions of Teaching Chinese Descriptive Composition With Interactive Spherical Video-Based Virtual Reality. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.591708
Cholifatunisa, A., Aulia, L., Marlina, N., Iskandar, S., Pedagogik, J., & Dasar, P. (2025). Pengembangan Kurikulum Merdeka Dengan Pendekatan Deep Learning Dalam Meningkatkan Kompetensi Siswa Sekolah Dasar. Jurnal Pedagogik Pendidikan Dasar, 12(1), 128–126. https://ejournal.upi.edu/index.php/jppd/article/view/84240
Damanik, S. H. F. M. G. (2025). Sociology of Education Analysis on the Deep Learning Approach to Teaching. Journal of Sumatera Sociological Indicators. https://doi.org/10.32734/jssi.v4i1.20020
Hasanah, N. , & P. P. (2025). Penerapan Pendekatan Deep Learning Pada Pembelajaran Di Sekolah Dasar Kota Bekasi. El Banar : Jurnal Pendidikan Dan Pengajaran. https://doi.org/10.54125/elbanar.v8i1.539
Hendrianty, J. B. I. A. I. S. M. E. (2024). Membangun Pola Pikir Deep Learning Guru Sekolah Dasar. Kalam Cendekia: Jurnal Ilmiah Kependidikan. https://doi.org/10.20961/jkc.v12i3.96699
Ismail, M., Shavega, T., & Kigobe, J. (2024). Implementation of competence-based teaching and learning in pre-primary schools in Tanzania. International Journal of Research Studies in Education, 13(1). https://doi.org/10.5861/ijrse.2024.24010
Jiang, R. (2022). Understanding, Investigating, and promoting deep learning in language education: A survey on chinese college students’ deep learning in the online EFL teaching context. Frontiers in Psychology. https://doi.org/https://doi.org/10.3389/fpsyg.2022.955565
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16). https://doi.org/10.3390/su151612451
Li, H. (2024). School environment, cooperative learning and English language deep learning strategy among Chinese college students. International Journal of Research Studies in Language Learning, 10(1). https://doi.org/10.5861/ijrsll.2024.007
Ling Huang, C., Yeh, Y.-F., Brady, A. C., Liu, E., & Zhao, J. (2022). What factors can support students’ deep learning in the online environment: The mediating role of learning self-eecacy and positive academic emotions? Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.1031615
Liu, E., Zhao, J., & Sofeia, N. (2022). Students’ Entire Deep Learning Personality Model and Perceived Teachers’ Emotional Support. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.793548
Liu Y; Chen L ; Yao Z. (2022). The application of artificial intelligence assistant to deep learning in teachers’ teaching and students’ learning processes.https://doi.org/10.3389/fpsyg.2022.929175
Liu, Y., & Qiao, C. (2025). Deep learning based AI-driven teaching models in Chinese high school English class: a case study of reading lessons. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1591393
Liu, Y., & Zhu, C. (2025). The use of deep learning and artificial intelligence-based digital technologies in art education. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-00892-9
M. Kasulwa, K. (2023). FACTORS THAT LIMITS AVAILABILITY OF TEACHING AND LEARNING MATERIALS IN TANZANIA PUBLIC PRIMARY SCHOOLS. INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION HUMANITIES AND COMMERCE, 04(05), 152–161. https://doi.org/10.37602/ijrehc.2023.4513
Mao, X. (2025). Online education quality assessment model based on deep learning. Discover Artificial Intelligence, 5(1). https://doi.org/10.1007/s44163-025-00421-7
Mutmainnah, N. A. Z. P. A. (2025). IMPLEMENTASI PENDEKATAN DEEP LEARNING TERHADAP PEMBELAJARAN MATEMATIKA DI SEKOLAH DASAR. Pendas: Jurnal Ilmiah Pendidikan Dasar. https://journal.unpas.ac.id/index.php/pendas/article/view/23781
Nurharis Jayatri, S., & Safitri, D. (2025). Tantangan dan Peluang Penggunaan Deep Learning Dalam Pembelajaran IPS di Era Digital. Jurnal Sosial Dan Humaniora, 2, 30–43. https://jurnalistiqomah.org/index.php/arima/article/view/4323
Pan, Q., Zhou, J., Yang, D., Shi, D., Wang, D., Chen, X., & Liu, J. (2023). Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043097
Shen, Z., & Zhao, S. (2022). Legal Instructional Design by Deep Learning Theory Under the Background of Educational Psychology. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.917174
Wijaya, M. (2025). Kurikulum Deep Learning di Indonesia; Sebuah Harapan Baru. Jurnal Ilmiah Pendidikan Scholastic ), 9(1). https://doi.org/10.36057/jips.v9i1.713
Yaguarema, M., Jimmy Zambrano, R., & Salavarría, M. (2022). Analysis of the Deep Learning Strategies Questionnaire with Ecuadorian students. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.1004874
Zhao, X. (2025). Using Deep Learning to Optimize the Allocation of Rural Education Resources Under the Background of Rural Revitalization. International Journal of Agricultural and Environmental Information Systems, 16(1). https://doi.org/10.4018/IJAEIS.375426
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Heronimus Wejang, Ismail Nasar
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
