
This work is licensed under a Creative Commons Attribution 4.0 International License.
Increasing Accessibility and Personalization in Distance Learning through Adaptive E-Learning Technology
Corresponding Author(s) : Eka Setiawati
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi,
Vol. 4 No. 1 (2025): September
Abstract
The global shift towards digital education accelerated by the COVID-19 pandemic has revealed ongoing challenges in ensuring equitable access and personalized learning experiences among diverse student populations. This study aims to investigate the potential of adaptive e-learning technology in enhancing accessibility and individualization within the context of distance education, particularly for students from marginalized communities and remote geographical areas. By employing a mixed-methods approach, this research involved a survey of 312 students from various demographic backgrounds, as well as in-depth case studies at two institutions that have implemented adaptive learning systems. The findings indicate that students using adaptive platforms experienced significant improvements in learning engagement, with 74% reporting better understanding and 61% noting increased motivation compared to their peers using conventional online learning methods. The adaptive systems also demonstrated the ability to tailor content based on the pace, preferences, and prior knowledge of learners, effectively narrowing achievement gaps. Furthermore, accessibility features such as language customization, device compatibility, and offline usability proved crucial in supporting inclusivity. This study concludes that the integration of adaptive e-learning technology in distance education can play a transformative role in addressing educational disparities by aligning instruction with the unique needs of learners while expanding access to quality digital education. These findings hold significant value for policymakers, educational technologists, and institutions seeking sustainable and inclusive strategies that align with the United Nations Sustainable Development Goal 4.
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References
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F. Benkhalfallah, M. R. Laouar, M. S. Benkhalfallah et al., “Examining adaptive e-learning approaches to enhance learning and individual experiences,” Acta Informatica Pragensia, vol. 13, no. 2, pp. 327–339, 2024.
S. Rifky, “Dampak penggunaan artificial intelligence bagi pendidikan tinggi,” Indonesian Journal of Multidisciplinary on Social and Technology, vol. 2, no. 1, pp. 37–42, 2024.
S. G. Essa, T. Celik, and N. E. Human-Hendricks, “Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review,” IEEE Access, vol. 11, pp. 48 392–48 409, 2023.
M. Imran, N. Almusharraf, S. Ahmed, and M. I. Mansoor, “Personalization of e-learning: Future trends, opportunities, and challenges.” International Journal of Interactive Mobile Technologies, vol. 18, no. 10, 2024.
I. Jaya, B. P. Yustianto, D. F. Septiani, and A. F. Suntami, “Seminar dan pelatihan: Belajar jarak jauh dengan e-learning bagi mahasiswa stie krakatau (seminar and training: Distance learning through e-learning for stie krakatau students),” Jurnal Pemberdayaan Ekonomi (JPE), vol. 3, no. 2, pp. 91–97, 2024.
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A. Sakti, “Meningkatkan pembelajaran melalui teknologi digital,” Jurnal Penelitian Rumpun Ilmu Teknik, vol. 2, no. 2, pp. 212–219, 2023.
M. Sabeima, M. Lamolle, and M. F. Nanne, “Towards personalized adaptive learning in e-learning recommender systems,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 8, pp. 14–20, 2022.
N. Azizah, M. D. Firiza, P. A. Sunarya, N. Silawati et al., “Analisis teknologi pembelajaran jarak jauh dampak aksesibilitas dan efektivitas pendidikan: Analysis of distance learning technology impact on accessibility and educational effectiveness,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 3, no. 2, pp. 99–107, 2025.
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M. Liu and D. Yu, “Towards intelligent e-learning systems,” Education and Information Technologies, vol. 28, no. 7, pp. 7845–7876, 2023.
A. Ismail, A. R. Ismail, N. A. Shaharuddin, M. A. Ara, A. A. Puzi, S. Awang, and R. Ramli, “Vision based vehicle classification for smart city,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 441–453, 2025.
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T. Alam, “Cloud computing and its role in the information technology,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 1, no. 2, pp. 108–115, 2021.
A. Garrido and L. Morales, “E-learning and intelligent planning: Improving content personalization,” IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, vol. 9, no. 1, pp. 1–7, 2014.
H. Hendri and F. Lourensius, “Penerapan konsep e-learning dengan metode gamifikasi untuk meningkatkan kualitas pembelajaran di perguruan tinggi,” Jurnal Processor, vol. 16, no. 1, p. 1, 2021.
A. Lamya, E. Mohamed, and K. Mohamed, “Adaptive e-learning and scenarization tools: the case of personalization,” International Journal of Computer Trends and Technology, vol. 69, no. 6, pp. 28–35, 2021.
F. Agustin, F. P. Oganda, N. Lutfiani, and E. P. Harahap, “Manajemen pembelajaran daring menggunakan education smart courses,” Technomedia J, vol. 5, no. 1, pp. 40–53, 2021.
A. Z. Sarnato, W. D. Sari, S. T. Rahmawati, R. Hidayat, H. Patry et al., “The evolution of e-learning platforms: From u-learning to ai-driven adaptive learning systems,” Journal of Social Science Utilizing Technology, vol. 2, no. 2, pp. 289–300, 2024.
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P. P. Lovinno, N. J. K. Purwantoro, and G. C. Kurniawan, “Inovasi pembelajaran berbasis teknologi dalam membangun generasi cerdas di era digital,” Nusantara: Jurnal Pendidikan, Seni, Sains dan Sosial Humaniora, vol. 3, no. 01, 2025.
R. Supriati, E. R. Dewi, D. Supriyanti, N. Azizah et al., “Implementation framework for merdeka belajar kampus merdeka (mbkm) in higher education academic activities,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 3, no. 2, pp. 150–161, 2022.
N. Isnain, “Implementasi artificial intelligence dalam sektor pendidikan,” Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research, vol. 2, no. 2, pp. 3175–3182, 2025.
I. Anas and S. Zakir, “Artificial intelligence: Solusi pembelajaran era digital 5.0,” J-SAKTI (Jurnal Sains Komputer dan Informatika), vol. 8, no. 1, pp. 35–46, 2024.
M. Azmi, M. S. Shihab, D. Rustiana, D. P. Lazirkha et al., “The effect of advertising, sales promotion, and brand image on repurchasing intention (study on shopee users),” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 3, no. 2, pp. 76–85, 2022.
A. K. Ahmad, Sumarni, K. M. Rahayu, and S. Lisnawati, “Pembelajaran berbasis e-learning di madrasah dalam peningkatan kualitas pendidikan: Kasus mtsn al azhar,” EDUKASI: Jurnal Penelitian Pendidikan Agama dan Keagamaan, vol. 21, no. 3, pp. 275–289, 2023, naskah diterima 18 Januari 2023; revisi 25 Juli 2023; disetujui 25 Desember 2023. [Online]. Available: https://jurnaledukasi.kemenag.go.id/edukasi/en/article/download/1572/648/5734
M. Dominic and S. Francis, “An adaptable e-learning architecture based on learners’ profiling,” International Journal of Modern Education and Computer Science, vol. 7, no. 3, pp. 26–31, 2015.
D. Apriani, N. N. Azizah, N. Ramadhona, D. A. R. Kusumawardhani et al., “Optimasi transparansi data dalam rantai pasokan melalui integrasi teknologi blockchain,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 2, no. 1, pp. 1–10, 2023.
N. Latifah and B. Ajie, “Analysis of the impact and benefits of technology trends in global accessibility and customized learning,” 2025.