Enhancing Adaptive E-Learning with Generative AI: Expanding the Horizon Beyond Recommendation Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0892-5_59
Reference30 articles.
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2. Sunil, Doja, M.N.: An improved recommender system for E-Learning environments to enhance learning capabilities of learners. In: P. K. Singh et al. (Eds.): Proceedings of ICETIT 2019, LNEE 605, pp. 604–612, (2020).
3. Bhaskaran, S., Marappan, R.: Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications. Complex Intell. Syst. (2021). https://doi.org/10.1007/s40747-021-00509-4
4. Tahir, S., Hafeez, Y., Abbas, M.A., et al.: Smart learning objects retrieval for E-Learning with contextual recommendation based on collaborative filtering. Educ. Inf. Technol. (2022). https://doi.org/10.1007/s10639-022-10966-0
5. Murad, H., Yang, L.: Personalized E-Learning recommender system using multimedia data. Int. J. Adv. Comput. Sci. Appl.Comput. Sci. Appl. 9(9), 565–567 (2018)
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