Tren dan Efektivitas Media Pembelajaran Digital Berbasis Kecerdasan Buatan dalam Meningkatkan Kualitas Pembelajaran: A Systematic Literature Review: Penelitian

Giswa Aria Nanda; Suwarno Suwarno

doi:10.31004/jerkin.v4i4.6307

Authors

Giswa Aria Nanda UIN Raden Mas Said Surakarta
Suwarno Suwarno UIN Raden Mas Said Surakarta

DOI:

https://doi.org/10.31004/jerkin.v4i4.6307

Keywords:

Kecerdasan Buatan, Media Pembelajaran Digital, Kualitas Pembelajaran, Systematic Literature Review, Pendidikan

Abstract

Penelitian ini bertujuan mengkaji tren dan efektivitas media pembelajaran digital berbasis kecerdasan buatan dalam meningkatkan mutu pembelajaran. Metode Systematic Literature Review (SLR) digunakan dengan pedoman PRISMA melalui tahap identifikasi, screening, eligibility, dan inklusi. Data diperoleh dari Google Scholar, Scopus, SINTA, dan DOAJ pada publikasi 2021–2025. Hasil analisis menunjukkan peningkatan pesat penggunaan AI dalam media pembelajaran melalui adaptive learning systems, intelligent tutoring systems, dan chatbot yang mendukung personalisasi belajar. Teknologi ini terbukti efektif meningkatkan capaian akademik, motivasi, dan keterlibatan siswa melalui pembelajaran interaktif dan responsif. Namun, keberhasilannya dipengaruhi kualitas desain pedagogis, kompetensi digital guru, dan kesiapan infrastruktur. Tantangan implementasi meliputi kesenjangan akses teknologi, rendahnya literasi digital pendidik, serta isu privasi dan keamanan data. Karena itu, integrasi AI dalam pendidikan memerlukan strategi holistik melalui penguatan pedagogi, pelatihan guru berkelanjutan, dan kebijakan infrastruktur yang komprehensif untuk mendukung transformasi pendidikan di era digital.

References

Bond, M., Bedenlier, S., Marín, V. I., & Händel, M. (2023). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 20(1), 1–24. https://doi.org/10.1186/s41239-021-00282-x

Chen, L., Chen, P., & Lin, Z. (2022). Artificial intelligence in education: A review. IEEE Access, 10, 75264–75278. https://doi.org/10.1109/ACCESS.2022.3193483

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://curriculumredesign.org/our-work/artificial-intelligence-in-education/

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2021). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 2, 100001. https://doi.org/10.1016/j.caeai.2021.100001

Kim, J., & Park, H. (2024). Effects of intelligent tutoring systems on student achievement: An experimental study. Computers & Education, 195, 104708. https://doi.org/10.1016/j.compedu.2023.104708

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2022). Intelligence unleashed: An argument for AI in education. Pearson Education. https://www.pearson.com/en-us/insights-and-research/insights/2016/11/intelligence-unleashed.html

OECD. (2023). Artificial intelligence and education: Guidance for policymakers. OECD Publishing. https://doi.org/10.1787/education_ai_en

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Putri, A. N., Rahmawati, D., & Nugroho, Y. (2024). The use of chatbot in education: Enhancing student independent learning. Journal of Educational Technology Systems, 52(2), 245–260. https://doi.org/10.1177/00472395231123456

Rahman, A., Hidayat, T., & Sulaiman, M. (2024). The effectiveness of AI-based learning media in improving student outcomes. Education and Information Technologies, 29, 1123–1140. https://doi.org/10.1007/s10639-023-11876-5

Sari, D. P., Utami, R., & Wibowo, A. (2023). Implementation of AI-based e-learning to improve student motivation. Jurnal Teknologi Pendidikan, 25(2), 150–162. https://doi.org/10.21009/jtp.v25i2.34567

UNESCO. (2025). AI competency framework for teachers. UNESCO Publishing. https://unesdoc.unesco.org/

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2021). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 18(1), 1–27. https://doi.org/10.1186/s41239-021-00239-7