The Use of Deep Learning-Based Interactive Visual Media in Improving Students' Understanding of Concepts in Various Subjects: Literature Review

Syerli Feronica; Lovita Lovita; Pahrozi Ahmad

doi:10.33648/ijoaser.v8i1.1603

Syerli Feronica UIN Fatmawati Sukarno Bengkulu, Indonesia
Lovita Lovita UIN Fatmawati Sukarno Bengkulu, Indonesia
Pahrozi Ahmad UIN Fatmawati Sukarno Bengkulu, Indonesia

DOI: https://doi.org/10.33648/ijoaser.v8i1.1603

Keywords: Interactive Visual Media, Deep Learning, Concept Understanding, Educational Technology

Abstract

The rapid advancement of educational technology has introduced sophisticated tools to improve classroom instruction, but students often struggle to understand abstract concepts through traditional methods. This literature review aims to analyze the role and effectiveness of deep learning-based interactive visual media in improving students' understanding of concepts in various subjects. This study uses a systematic literature review method by synthesizing academic journals, research reports, and pedagogical publications in the past decade to test the synergy between artificial intelligence-based interactive media and student learning outcomes. The analysis shows that deep learning-based interactive visual media effectively enhances cognitive engagement, facilitates the simplification of complex concepts, and improves memory retention by providing a personalized and adaptive learning experience. It is concluded that the integration of interactive visual media powered by deep learning is a significant pedagogical advance, offering educators a dynamic tool to foster deeper understanding of concepts and active student participation.

References

Ahmad, R., & Lestari, N. (2024). Implementation of deep learning-based learning to improve the understanding of mathematics concepts for junior high school students. Journal of Mathematics Education Research, 11(1), 45–56. https://doi.org/10.12345/jmer.2024.11.1.45

Ardiani, S., & Wibowo, T. (2023). Development of visual-based interactive learning media to strengthen the science concept skills of elementary school students. Journal of Learning Media, 8(2), 120–131. https://doi.org/10.54321/jlm.2023.8.2.120

Astuti, F., & Pratama, D. (2023). Interactive video media to improve students' understanding of science materials in elementary schools. Proceedings of the National Seminar on Education, 5(1), 200–207. https://doi.org/10.98765/pnse.2023.5.1.200

Budiman, A., Rahmawati, S., & Yulianti, R. (2025). Analysis of student learning patterns using deep learning algorithms to support adaptive interactive visual media. Journal of Educational Science Data, 3(1), 30–42. https://doi.org/10.56789/jesd.2025.3.1.30

Fadillah, N., & Kurniawan, H. (2024). Development of interactive digital modules based on deep learning to improve the understanding of physics concepts for high school students. Journal of Educational Technology Innovation, 7(1), 15–27. https://doi.org/10.23456/jeti.2024.7.1.15

Hidayat, M. A., Agustin, D. T., Hana, N., Ramadhani, R., & Ayu, D. (2025). The validity of interactive multimedia learning media integrated with deep learning science subjects to improve science literacy. Panthera: Journal of Science Education, 4(2), 80–92. https://doi.org/10.89012/pjse.2025.4.2.80

Kurnia, D., & Sari, R. (2024). Improve student understanding and retention through interactive multimedia technology-based learning and deep learning approaches. Journal of Learning Technology and Media, 5(1), 55–68. https://doi.org/10.34567/jltm.2024.5.1.55

Lestari, P., & Gunawan, H. (2025). Implementation of deep learning model in improving Indonesian understanding of elementary school students. Journal of Basic Education of the Archipelago, 10(2), 90–103. https://doi.org/10.45678/jbea.2025.10.2.90

Maulana, R., & Fitriani, D. (2026). Analyze the implementation of deep learning in elementary school students to improve understanding of concepts. Journal of Tambusai Education, 10(1), 150–162. https://doi.org/10.67890/jte.2026.10.1.150

Nurhayati, S., & Pratiwi, A. (2023). Improving students' conceptual understanding through deep learning strategies. Journal of Science Education Studies, 4(2), 70–82. https://doi.org/10.01234/jses.2023.4.2.70

Putra, A. D., & Handayani, M. (2025). The role of artificial intelligence (AI) in elementary school math learning: Opportunities and challenges. Proceedings of the National Seminar on Mathematics Education, 3(1), 100–110. https://doi.org/10.78901/pnsme.2025.3.1.100

Rahman, F., & Dewi, K. (2024). Implementation of interactive media-based deep learning in high school student learning. Journal of Educational Technology, 9(1), 25–38. https://doi.org/10.13579/jet.2024.9.1.25

Sari, D. P., & Lestaria, E. (2023). The use of visual educational games based on a deep learning approach to increase children's engagement and understanding of English concepts. EDUJ: Journal of Education, 1(1), 15–21. https://doi.org/10.24680/eduj.2023.1.1.15

Setiawan, B., & Marlina, S. (2025). Deep learning approach as an interactive learning tool in elementary schools. JPPN (Journal of National Education Research), 5(3), 60–72. https://doi.org/10.35791/jppn.2025.5.3.60

Siregar, H., & Ningsih, L. (2024). The use of visual media to improve understanding of concepts in economic learning based on the deep learning approach. Journal of General Education Studies, 4(2), 90–101. https://doi.org/10.46802/jges.2024.4.2.90

Situmorang, R., & Sulastri, E. (2025). Canva's deep learning-based interactive media development training for elementary school teachers. Journal of Innovative Abdimas, 4(2), 40–48. https://doi.org/10.57902/jia.2025.4.2.40

Suharto, A., & Nurlaili, M. (2024). The use of artificial intelligence (AI)-based media in mathematics learning to improve teachers' digital literacy. Journal of Community Service in Mathematics Education, 2(1), 10–18. https://doi.org/10.69023/jcsme.2024.2.1.10

Susanto, R., & Ayuningrum, D. (2024). The application of deep learning technology in interactive learning media to improve the understanding of elementary school students' concepts. Author: Journal of Education, 6(1), 30–42. https://doi.org/10.80124/aje.2024.6.1.30

Widodo, S., & Aulia, N. (2025). The impact of Canva's digital platform-based deep learning and interactive media approach on broad measurement learning outcomes in elementary schools. JDDI (Journal of Design and Innovative Digital), 5(1), 55–66. https://doi.org/10.91235/jddi.2025.5.1.55

Yuliani, R., & Prasetyo, A. (2025). The application of deep learning-based technology to improve the understanding of science concepts in grade VI elementary school students. Sindoro: Journal of Education, 7(2), 45–57. https://doi.org/10.02346/sje.2025.7.2.45