This work is licensed under a Creative Commons Attribution 4.0 International License.
Optimizing E-Learning Platforms through Adaptive Learning for Diverse Demographics
Corresponding Author(s) : Marta Rodriguez
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi,
Vol. 4 No. 1 (2025): September
Abstract
The rapid growth of e-learning and distance education platforms highlights the need for educational systems that are more inclusive and accessible to diverse demographics and ethnic groups. However, as adoption increases, challenges related to accessibility and personalized learning experiences have become more evident, especially among underrepresented groups. This study explores how adaptive learning technologies can optimize e-learning and distance education platforms to overcome these challenges and improve accessibility for diverse learners. A mixed-methods approach was used, combining surveys, interviews, and case studies with students and educators across various contexts. The study also reviews current adaptive learning technologies and their integration into online environments. The findings show that adaptive technologies significantly enhance learning experiences by personalizing content and delivery according to individual needs, thereby addressing barriers of accessibility and engagement. Moreover, these technologies help bridge educational gaps, ensuring a more equitable learning process for students from different backgrounds. The study concludes that implementing adaptive learning technologies can improve the inclusivity and accessibility of e-learning platforms, making them more effective for diverse demographic and ethnic groups. Further research is recommended to refine these technologies and examine their long-term effects on educational equity.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- I. Gligorea, M. Cioca, R. Oancea, A.-T. Gorski, H. Gorski, and P. Tudorache, “Adaptive learning using artificial intelligence in e-learning: A literature review,” Education Sciences, vol. 13, no. 12, p. 1216, 2023.
- H. Sulistiani, A. Yuliani, F. Hamidy et al., “Perancangan sistem informasi akuntansi upah lembur karyawan menggunakan extreme programming,” Technomedia Journal, vol. 6, no. 1, pp. 1–14, 2021.
- 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.
- A. A. Saputra, “Pengaruh kompensasi, lingkungan kerja dan beban kerja terhadap kepuasan kerja karyawan,” Technomedia Journal, vol. 7, no. 1, pp. 68–77, 2022.
- R. Isaeva, N. Karasartova, K. Dznunusnalieva, K. Mirzoeva, and M. Mokliuk, “Enhancing learning effectiveness through adaptive learning platforms and emerging computer technologies in education,” Jurnal Ilmiah Ilmu Terapan Universitas Jambi, vol. 9, no. 1, pp. 144–160, 2025.
- R. Anjeli, H. Harianja, and R. Nazli, “Sistem aplikasi absensi online menggunakan android guna mencegah penyebaran virus pada masa pandeami covid-19 di bawaslu kuantan singingi,” in Prosiding Seminar Nasional Hasil Penelitian dan Pengabdian Kepada Masyarakat, vol. 1, no. 1, 2021, pp. 32–36.
- J. Siswanto, H. Hendry, U. Rahardja, I. Sembiring, and E. A. Lisangan, “Predicting transjakarta passengers with lstm-bilstm deep learning models for smart transportpreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 84–96, 2025.
- R. Kaur, D. Gupta, M. Madhukar, A. Singh, M. Abdelhaq, R. Alsaqour, J. Bre˜nosa, and N. Goyal, “E-learning environment based intelligent profiling system for enhancing user adaptation,” Electronics, vol. 11, no. 20, p. 3354, 2022.
- O. Mita, P. Palisuri, and M. Idris, “Pengaruh upah minimum kota, pendidikan, dan belanja bantuan sosial terhadap kesejahteraan masyarakat di kota palopo,” Journal of Economy Business Development, vol. 3, no. 1, pp. 95–101, 2025.
- 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.
- R. Indayani, S. Supeno, and I. Wicaksono, “Pengaruh videoscribe terhadap keterampilan berpikir kritis peserta didik pada pembelajaran ipa,” Edu Sains: Jurnal Pendidikan Sains dan Matematika, vol. 9, no. 2, pp. 107–115, 2021.
- S. Chawla and K. Mehta, “Cryptocurrency adoption in the era of industry 5.0: Opportunities, challenges, and the intellectual landscape–slr and bibliometric analysis,” Opportunities and Challenges of Business 5.0 in Emerging Markets, pp. 240–262, 2023.
- A. Mulyadi and R. Pancasasti, “Upaya meningkatkan kinerja karyawan melalui motivasi,” Technomedia Journal, vol. 7, no. 1, pp. 11–21, 2022.
- N. Nalini, A. Kumar, S. Patil, S. B. Hanjagi, V. M. Patil, and K. S. Uttej, “Decentralized online marketplace using blockchain technology for sustainable development,” in 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024, pp. 1–5.
- U. Rahardja, N. Lutfiani, E. P. Harahap, and L. Wijayanti, “ilearning: Metode pembelajaran inovatif di era education 4.0,” Technomedia J, vol. 4, no. 2, pp. 261–276, 2021.
- D. S. S. Wuisan, R. A. Sunardjo, Q. Aini, N. A. Yusuf, and U. Rahardja, “Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 334–345, 2023.
- E. M. Smaili, S. Sraidi, S. Azzouzi, and M. E. H. Charaf, “Towards sustainable e-learning systems using an adaptive learning approach,” in Emerging Trends in ICT for Sustainable Development: The Proceedings of NICE2020 International Conference. Springer, 2021, pp. 365–372.
- L. Salsabila, M. Fikriya, F. Abdullah, and M. Affan, “Pemanfaatan teknologi blockchain dalam pengelolaan dana wakaf,” Jurnal Ekonomi Dan Bisnis Digital, vol. 1, no. 2, pp. 233–244, 2023.
- A. Maharani, S. Aninda, and S. Millah, “Pembuatan kartu ujian online sebagai pengabdian perguruan tinggi,” ADI Pengabdian Kepada Masyarakat, vol. 1, no. 2, pp. 8–14, 2021.
- 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. R. Pabubung, “Era kecerdasan buatan dan dampak terhadap martabat manusia dalam kajian etis,” Jurnal Filsafat Indonesia, vol. 6, no. 1, pp. 66–74, 2023.
- A. Ruangkanjanases, A. Khan, O. Sivarak, U. Rahardja, and S.-C. Chen, “Modeling the consumers’ flow experience in e-commerce: The integration of ecm and tam with the antecedents of flow experience,” Sage Open, vol. 14, no. 2, p. 21582440241258595, 2024.
- C. Halkiopoulos and E. Gkintoni, “Leveraging ai in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—a systematic analysis,” Electronics, vol. 13, no. 18, p. 3762, 2024.
- A. Alfina and S. Syafrinal, “Model sistem verifikasi dokumen ijazah digital berbasis teknologi blockchain,” SMARTICS Journal, vol. 8, no. 2, pp. 59–65, 2022.
- B. Rawat, N. Mehra, A. S. Bist, M. Yusup, and Y. P. A. Sanjaya, “Quantum computing and ai: Impacts & possibilities,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 202–207, 2022.
- C. S. Bangun, T. Suhara, and H. Husin, “Penerapan teori planned behavior dan perceived value pada online purchase behavior,” Technomedia Journal, vol. 8, pp. 123–134, 2023.
- Q. Aini, D. Manongga, U. Rahardja, I. Sembiring, and Y.-M. Li, “Understanding behavioral intention to use of air quality monitoring solutions with emphasis on technology readiness,” International Journal of Human–Computer Interaction, vol. 41, no. 8, pp. 5079–5099, 2025.
- M. Liu and D. Yu, “Towards intelligent e-learning systems,” Education and Information Technologies, vol. 28, no. 7, pp. 7845–7876, 2023.
- L. Parn, T. Mariyanti, A. Widyakto et al., “Optimalisasi e-learning dengan ai adaptif untuk pendidikan inklusif: Optimization of e-learning with adaptive ai for inclusive education,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 3, no. 2, pp. 168–176, 2025.
- M. N. Ayubi and A. Retnowardhani, “Optimizing learning experiences: A study of student satisfaction with lms in higher education,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 527–541, 2025.
- Guru Dikdas, Kemdikdasmen, “Pembelajaran mendalam,” https://gurudikdas.dikdasmen.go.id/storage/ users/3/Berita/2025/PDF/Pembelajaran%20Mendalam.pdf, 2025, diakses pada September 24, 2025.
References
I. Gligorea, M. Cioca, R. Oancea, A.-T. Gorski, H. Gorski, and P. Tudorache, “Adaptive learning using artificial intelligence in e-learning: A literature review,” Education Sciences, vol. 13, no. 12, p. 1216, 2023.
H. Sulistiani, A. Yuliani, F. Hamidy et al., “Perancangan sistem informasi akuntansi upah lembur karyawan menggunakan extreme programming,” Technomedia Journal, vol. 6, no. 1, pp. 1–14, 2021.
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.
A. A. Saputra, “Pengaruh kompensasi, lingkungan kerja dan beban kerja terhadap kepuasan kerja karyawan,” Technomedia Journal, vol. 7, no. 1, pp. 68–77, 2022.
R. Isaeva, N. Karasartova, K. Dznunusnalieva, K. Mirzoeva, and M. Mokliuk, “Enhancing learning effectiveness through adaptive learning platforms and emerging computer technologies in education,” Jurnal Ilmiah Ilmu Terapan Universitas Jambi, vol. 9, no. 1, pp. 144–160, 2025.
R. Anjeli, H. Harianja, and R. Nazli, “Sistem aplikasi absensi online menggunakan android guna mencegah penyebaran virus pada masa pandeami covid-19 di bawaslu kuantan singingi,” in Prosiding Seminar Nasional Hasil Penelitian dan Pengabdian Kepada Masyarakat, vol. 1, no. 1, 2021, pp. 32–36.
J. Siswanto, H. Hendry, U. Rahardja, I. Sembiring, and E. A. Lisangan, “Predicting transjakarta passengers with lstm-bilstm deep learning models for smart transportpreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 84–96, 2025.
R. Kaur, D. Gupta, M. Madhukar, A. Singh, M. Abdelhaq, R. Alsaqour, J. Bre˜nosa, and N. Goyal, “E-learning environment based intelligent profiling system for enhancing user adaptation,” Electronics, vol. 11, no. 20, p. 3354, 2022.
O. Mita, P. Palisuri, and M. Idris, “Pengaruh upah minimum kota, pendidikan, dan belanja bantuan sosial terhadap kesejahteraan masyarakat di kota palopo,” Journal of Economy Business Development, vol. 3, no. 1, pp. 95–101, 2025.
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.
R. Indayani, S. Supeno, and I. Wicaksono, “Pengaruh videoscribe terhadap keterampilan berpikir kritis peserta didik pada pembelajaran ipa,” Edu Sains: Jurnal Pendidikan Sains dan Matematika, vol. 9, no. 2, pp. 107–115, 2021.
S. Chawla and K. Mehta, “Cryptocurrency adoption in the era of industry 5.0: Opportunities, challenges, and the intellectual landscape–slr and bibliometric analysis,” Opportunities and Challenges of Business 5.0 in Emerging Markets, pp. 240–262, 2023.
A. Mulyadi and R. Pancasasti, “Upaya meningkatkan kinerja karyawan melalui motivasi,” Technomedia Journal, vol. 7, no. 1, pp. 11–21, 2022.
N. Nalini, A. Kumar, S. Patil, S. B. Hanjagi, V. M. Patil, and K. S. Uttej, “Decentralized online marketplace using blockchain technology for sustainable development,” in 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024, pp. 1–5.
U. Rahardja, N. Lutfiani, E. P. Harahap, and L. Wijayanti, “ilearning: Metode pembelajaran inovatif di era education 4.0,” Technomedia J, vol. 4, no. 2, pp. 261–276, 2021.
D. S. S. Wuisan, R. A. Sunardjo, Q. Aini, N. A. Yusuf, and U. Rahardja, “Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 334–345, 2023.
E. M. Smaili, S. Sraidi, S. Azzouzi, and M. E. H. Charaf, “Towards sustainable e-learning systems using an adaptive learning approach,” in Emerging Trends in ICT for Sustainable Development: The Proceedings of NICE2020 International Conference. Springer, 2021, pp. 365–372.
L. Salsabila, M. Fikriya, F. Abdullah, and M. Affan, “Pemanfaatan teknologi blockchain dalam pengelolaan dana wakaf,” Jurnal Ekonomi Dan Bisnis Digital, vol. 1, no. 2, pp. 233–244, 2023.
A. Maharani, S. Aninda, and S. Millah, “Pembuatan kartu ujian online sebagai pengabdian perguruan tinggi,” ADI Pengabdian Kepada Masyarakat, vol. 1, no. 2, pp. 8–14, 2021.
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. R. Pabubung, “Era kecerdasan buatan dan dampak terhadap martabat manusia dalam kajian etis,” Jurnal Filsafat Indonesia, vol. 6, no. 1, pp. 66–74, 2023.
A. Ruangkanjanases, A. Khan, O. Sivarak, U. Rahardja, and S.-C. Chen, “Modeling the consumers’ flow experience in e-commerce: The integration of ecm and tam with the antecedents of flow experience,” Sage Open, vol. 14, no. 2, p. 21582440241258595, 2024.
C. Halkiopoulos and E. Gkintoni, “Leveraging ai in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—a systematic analysis,” Electronics, vol. 13, no. 18, p. 3762, 2024.
A. Alfina and S. Syafrinal, “Model sistem verifikasi dokumen ijazah digital berbasis teknologi blockchain,” SMARTICS Journal, vol. 8, no. 2, pp. 59–65, 2022.
B. Rawat, N. Mehra, A. S. Bist, M. Yusup, and Y. P. A. Sanjaya, “Quantum computing and ai: Impacts & possibilities,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 202–207, 2022.
C. S. Bangun, T. Suhara, and H. Husin, “Penerapan teori planned behavior dan perceived value pada online purchase behavior,” Technomedia Journal, vol. 8, pp. 123–134, 2023.
Q. Aini, D. Manongga, U. Rahardja, I. Sembiring, and Y.-M. Li, “Understanding behavioral intention to use of air quality monitoring solutions with emphasis on technology readiness,” International Journal of Human–Computer Interaction, vol. 41, no. 8, pp. 5079–5099, 2025.
M. Liu and D. Yu, “Towards intelligent e-learning systems,” Education and Information Technologies, vol. 28, no. 7, pp. 7845–7876, 2023.
L. Parn, T. Mariyanti, A. Widyakto et al., “Optimalisasi e-learning dengan ai adaptif untuk pendidikan inklusif: Optimization of e-learning with adaptive ai for inclusive education,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 3, no. 2, pp. 168–176, 2025.
M. N. Ayubi and A. Retnowardhani, “Optimizing learning experiences: A study of student satisfaction with lms in higher education,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 527–541, 2025.
Guru Dikdas, Kemdikdasmen, “Pembelajaran mendalam,” https://gurudikdas.dikdasmen.go.id/storage/ users/3/Berita/2025/PDF/Pembelajaran%20Mendalam.pdf, 2025, diakses pada September 24, 2025.