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Original Article

AI-Enabled E-Learning Systems: A Systematic Literature

  • Paper ID 131
  • Volume 4, Issue 4
  • Pages 23-28
  • Published Online: July-August 2024
  • 6 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Sivakumar Nagarajan1

Technical Architect, I & I Software Inc, 2571 Baglyos Circle, Suite B-32, Bethlehem, Pennsylvania, USA

Article Information

Published Online
July-August 2024
Pages
23-28
Article Type
Original Article
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References

1. Green, T.D.; Donovan, L.C. Learning anytime, anywhere through technology. In The Wiley Handbook of Teaching and Learning;
Wiley: Hoboken, NJ, USA, 2018; pp. 225–256.
2. Pliakos, K.; Joo, S.-H.; Park, J.Y.; Cornillie, F.; Vens, C.; Van den Noortgate, W. Integrating machine learning into item response
theory for addressing the cold start problem in Adaptive Learning Systems. Comput. Educ. 2019, 137, 91–103.
3. El-Sabagh, H.A. Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. Int. J.
Educ. Technol. High. Educ. 2021, 18, 53.
4. Beldagli, B.; Adiguzel, T. Illustrating an ideal adaptive e-learning: A conceptual framework. Procedia Soc. Behav. Sci. 2010, 2, 5755–
5761.
5. Ennouamani, S.; Mahani, Z. An overview of adaptive e-learning systems. In Proceedings of the Eighth International Conference on
Intelligent Computing and Information Systems (ICICIS), Cairo, Egypt, 5–7 December 2017. Shute, V.; Towle, B. Adaptive E-
Learning. Educ. Psychol. 2003, 38, 105–114.
6. Jing, Y.; Zhao, L.; Zhu, K.; Wang, H.; Wang, C.; Xia, Q. Research Landscape of Adaptive Learning in Education: A Bibliometric Study
on Research Publications from 2000 to 2022. Sustainability 2023, 15, 3115
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