Adaptive E-Learning: A systematic review of interactive and flexible learning aligned with student styles

Authors

  • Puji Hastuti Politeknik Negeri Jember
  • Ulfa Emi Rahmawati Politeknik Negeri Jember
  • Intan Sulistyaningrum Sakkinah Politeknik Negeri Jember
  • Raditya Arief Pratama Politeknik Negeri Jember
  • Qonitatul Hasanah Politeknik Negeri Jember
  • Tria Yunita Politeknik Negeri Jember
  • Laila Wulandari Politeknik Negeri Jember

DOI:

https://doi.org/10.25047/ijossh.v2i2.5588

Keywords:

Adaptive electronic learning, E-learning, Interactive and flexible learning, Learning styles, Systematic literature review

Abstract

The development of digital technology and the popularity of the internet have made e-learning an increasingly popular learning method to support the dissemination of knowledge in interactive e-learning systems. However, currently, multimedia content-based e-learning systems are still under-explored, and most e-learning system models are not yet adaptive. On the other hand, each student has a different learning style when interacting with the content presented to them. The challenges faced if adaptive e-learning is not implemented properly can lead to poor learning outcomes. In this study, a systematic literature review was conducted with the PRISMA framework to study adaptive e-learning. From this study, 6 potential literatures were obtained from 193 literatures in the initial search regarding the implementation of adaptive e-learning systems that can answer global challenges in the future. The main finding of this study is that adaptive e-learning is able to overcome educational gaps in the future because students are increasingly dependent on digital learning systems worldwide. Ease of internet access plays a major role in the emergence of a lifelong learning system that can support students' learning styles. The results of this study can be the basis for further research in detecting students' learning styles as a basis for developing learning materials to support distance learning.

References

Alnasyan, B., Basheri, M., & Alassafi, M. (2024). The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review. Computers and Education: Artificial Intelligence, 6, 100231. https://doi.org/https://doi.org/10.1016/j.caeai.2024.100231

Cabrera, C. C., Castillo Leal, M., Silvestre Acevedo Martínez, J. A., Fonseca Mendoza, R., Angulo Insuasti, A., & Camacho Mora, C. (2025). Artificial Intelligence (AI) and Learning Management Systems (LMS): A bibliometric analysis. Journal of Information Processing & Development, 9(1). https://www.researchgate.net/publication/388682559

Dong, X., Yuan, H., Xue, H., Li, Y., Jia, L., Chen, J., Shi, Y., & Zhang, X. (2024). Factors influencing college students’ self-regulated learning in online learning environment: A systematic review. Nurse Education Today, 133, 106071. https://doi.org/https://doi.org/10.1016/j.nedt.2023.106071

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216

Jin, S., & Kim, J.-H. (2024). Effectiveness synchronous e-learning in nursing education: A meta-analysis and subgroup analysis. Nurse Education in Practice, 78, 104029. https://doi.org/https://doi.org/10.1016/j.nepr.2024.104029

Karanth, D., Abu Arqub, S., & Dolce, C. (2024). The applications of digital technology in postgraduate orthodontic education. Seminars in Orthodontics, 30(4), 436–442. https://doi.org/https://doi.org/10.1053/j.sodo.2024.03.003

Li, A., Zain, N. M., Yusuf, A., Deng, H., & He, Q. (2024). Development and effectiveness of online teaching on practical skills among nursing students: A systematic review and meta-analysis. Nurse Education in Practice, 78, 103988. https://doi.org/https://doi.org/10.1016/j.nepr.2024.103988

Millidonis, T., Lois, P., Georgiou, I., & Tsoukatos, E. (2023). How teachers are affected by institutional actions aiming to enhance e-learning effectiveness in higher education. International Journal of Educational Management, 37(6), 1142–1161. https://doi.org/https://doi.org/10.1108/IJEM-09-2022-0371

Mwambe, O. O. (2024). Deployment of information processing theory to support adaptive e-learning systems: Feasibility study. Computers in Human Behavior Reports, 14. https://doi.org/10.1016/j.chbr.2024.100420

Nababan, K. R., Sasi, G. A., & Permatasari, C. L. (2023). Inovasi Pembelajaran: Mengenalkan Flexible Learning sebagai Pintu Gerbang Blended Learning Bagi Mahasiswa Baru UKSW. Suluh Abdi, 5(2), 99–107.

Qazi, A., Qazi, J., Naseer, K., Hasan, N., Hardaker, G., & Bao, D. (2024). M-Learning in education during COVID-19: A systematic review of sentiment, challenges, and opportunities. Heliyon, 10(12), e32638. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e32638

Rahman et al. (2024). A literature review on the integration of microlearning and social media. Smart Learning Environments, 11(46). https://doi.org/10.1186/s40561-024-00334-5

Rahmawati, L., & Gumiandari, S. (2021). Identifikasi Gaya Belajar (Visual, Auditorial Dan Kinestetik) Mahasiswa Tadris Bahasa Inggris Kelas 3F IAIN Syekh Nurjati Cirebon. Pedagogik: Jurnal Pendidikan, 16(1), 54–61. https://doi.org/10.33084/pedagogik.v16i1.1876

Raj, N. S., & Renumol, V. G. (2021). A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. Journal of Computers in Education, 9(1), 113–148. https://doi.org/10.1007/s40692-021-00199-4

Sa’diyah, A.-. (2022). Pengenalan Media Pembelajaran Interaktif untuk Persiapan Hybrid Learning dengan Teknologi Adaptif. Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi Dan Perubahan, 2(2). https://doi.org/10.59818/jpm.v2i4.349

Safira, R. F., & Nahdi, D. S. (2024). Keragaman Perangkat Lunak Multimedia Interaktif Untuk Meningkatkan Kualitas Pembelajaran IPA Sekolah Dasar. JURNAL MADINASIKA Manajemen Pendidikan Dan Keguruan, 5(2), 68–77.

Scilit (2024) Scilit Rankings. Available at: https://www.scilit.net/rankings (Accessed: 17 September 2024).

Williams, E., Fernandes, R. Del, Choi, K., Fasola, L., & Zevin, B. (2023). Learning Outcomes and Educational Effectiveness of E-Learning as a Continuing Professional Development Intervention for Practicing Surgeons and Proceduralists: A Systematic Review. Journal of Surgical Education, 80(8), 1139–1149. https://doi.org/https://doi.org/10.1016/j.jsurg.2023.05.017

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Published

2025-07-30

How to Cite

Hastuti, P., Rahmawati, U. E., Sakkinah, I. S., Pratama, R. A., Hasanah, Q., Yunita, T., & Wulandari, L. (2025). Adaptive E-Learning: A systematic review of interactive and flexible learning aligned with student styles. International Journal of Studies in Social Sciences and Humanities (IJOSSH), 2(2), 66–73. https://doi.org/10.25047/ijossh.v2i2.5588

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