Kecerdasan Buatan dalam Pembelajaran Personalisasi: Akselerasi Efektivitas Pembelajaran Bahasa Indonesia di Perguruan Tinggi
DOI:
https://doi.org/10.52690/jitim.v6i2.1553Keywords:
Artificial Intelligence, Higher Education, Indonesian Language, Learning Effectiveness, Personalized LearningAbstract
The purpose of this study is to describe the application of artificial intelligence (AI) in personalized learning, analyze student motivation and engagement, and identify lecturers' and students' perceptions of the effectiveness of Indonesian language learning at State Islamic Religious Universities (PTKI). The study used a qualitative approach with a multi-site case study design at UIN Fatmawati Sukarno Bengkulu and IAIN Curup. The informants of this study consisted of 6 lecturers, 12 students, and 2 study program staff. Data were collected through observation, in-depth interviews, and documentation, then analyzed using the Miles and Huberman interactive model through the stages of data reduction, data presentation, and conclusion drawing. The results show that the application of AI in personalized learning can increase learning motivation, active engagement, and then students in Indonesian language learning. AI helps lecturers map student learning needs more accurately, provide real-time feedback, and adjust learning materials and strategies based on individual student characteristics. However, the implementation of AI still faces obstacles in the form of limited digital infrastructure and lecturers' technological competencies. This study presents a novelty in the form of an AI-based personalized learning model integrated with local religious and cultural values in PTK. The research's implications suggest that AI can be an innovative strategy for creating adaptive, humanistic, and student-centered Indonesian language learning. This research contribution enriches the study of AI integration in language education within religious higher education settings.
References
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology and Society, 26(1). https://doi.org/10.30191/ETS.202301_26(1).0009
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78. https://doi.org/10.3102/0034654315581420
Kurniawan, H., Sasama W. U., A., & Tambunan, R. W. (2024). Potensi AI dalam meningkatkan kreativitas dan literasi dalam pembelajaran bahasa Indonesia. JAMI: Jurnal Ahli Muda Indonesia, 5(1), 8–15. https://doi.org/10.46510/jami.v5i1.285
Lin, C. C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. In Smart Learning Environments (Vol. 10, Issue 1). https://doi.org/10.1186/s40561-023-00260-y
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Nurhamidah, D., & Faznur, L. S. (2023). Penguatan karakter mahasiswa melalui pendidikan bahasa Indonesia terintegrasi. Journal of Religious Policy, 1(2), 211–232. https://doi.org/10.31330/repo.v1i2.8
Syamsuriah, S., Naim, M., Lestari, U., Taufik, T., & Hamran, H. (2025). Transformasi pembelajaran: Peran kecerdasan buatan (AI) dalam personalisasi pengalaman belajar siswa. Jurnal Ilmiah Multidisiplin Mahasiswa Dan Akademisi, 1(5), 49–59. https://doi.org/10.64690/intelektual.v1i5.449
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221. https://doi.org/10.1080/00461520.2011.611369
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wang, X., Huang, R. T., Sommer, M., Pei, B., Shidfar, P., Rehman, M. S., Ritzhaupt, A. D., & Martin, F. (2024). The efficacy of artificial intelligence-enabled adaptive learning systems from 2010 to 2022 on learner outcomes: A meta-analysis. Journal of Educational Computing Research, 62(4), 942–973. https://doi.org/10.1177/07356331241240459
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Woolf, B. P. (2009). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.
Zulfadhli, M., Anshori, D. S., & Sunendar, D. (2023). Kebijakan pembelajaran MKWK bahasa Indonesia di perguruan tinggi: Implementasi dan tantangannya. Semantik, 12(1), 1–14. https://doi.org/10.22460/semantik.v12i1.p1-14
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Wenny Aulia Sari
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal of Innovation in Teaching and Instructional Media is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The author who submits the manuscript must understand and agree that the copyright is held by Journal of Innovation in Teaching and Instructional Media.
All articles published Open Access will be immediately and permanently free for everyone to read, download, copy, distribute, print, search, link, or use for any other lawful purpose. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows:
• Creative Commons Attribution-ShareAlike (CC BY-SA)
