Current - Issue
Original Article
An Enhanced Personalized E-Learning System Using Deep Reinforcement Learning and Knowledge Tracing
Dr.D. Chitra1
D. Pavithradevi2
1 Professor and Head of the Department –CSE P.A College of Engineering and Technology, Pollachi, Coimbatore, Tamilnadu, India. 2 Department of Computer Science and Engineering P.A College of Engineering and Technology, Pollachi, Coimbatore, Tamilnadu, India.
Published Online: May-August 2026
Pages: 492-500
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502055
References
REFERENCES
1. Y.-C. Chen, L. Hui, and T. Thaipisutikul, “A collaborative filtering recommendation system with dynamic time decay,” J. Supercomput.,
vol. 77, no. 1, pp. 244–262, Jan. 2021, doi: 10.1007/s11227-020-03266-2.
2. Z. Fu et al., “Integrating reinforcement learning with dynamic knowledge tracing for personalized learning path optimization,” Sci. Rep., vol15, 2025.
3. I. Gligorea, “Adaptive learning using artificial intelligence in e-learning,” Educ. Sci., vol. 13, no. 12, 2023.
4. S. Haldar, S. Sengupta, and A. K. Das, “Personalized learning path recommendation using graph reinforcement learning,” Procedia Comput.
Sci., 2025.
5. A comprehensive review of deep learning–based knowledge tracing models (ACM), 2025.
6. T. Kabudi et al., “AI-enabled adaptive learning systems: A systematic review,” Comput. Educ. AI, 2021.
7. H. Yang, “A survey of deep learning based knowledge tracing,” Knowl. Based Syst., 2025.
8. J. Li, “Learning path recommendation based on reinforcement learning,” Eng. Lett., vol. 32, no. 9, 2025.
9. F. Zhang et al., “Personalized process-type learning path recommendation based on deep knowledge tracing,” Knowl. Based Syst., 2024.
10. F. Stasolla et al., “Deep learning and reinforcement learning for assessing and enhancing academic performance,” AI, 2025
11. A. Riedmann et al., “Reinforcement learning in education: A systematic literature review,” Educ. Technol. Soc., 2025.
12. X. Zhang et al., “Personalized learning path recommendation using knowledge graphs,” World Sci., 2023.
13. Y. Lin et al., “Learning path recommendation enhanced by knowledge tracing and large language models,” Electronics, 2025.
14. M. Delianidi, “DK-PRACTICE: An intelligent platform for knowledge tracing and recommendation,” Preprint, 2025
15. S. Sarsa, “Empirical evaluation of deep learning models for knowledge tracing,” J. Educ. Data Min., 2022.
16. A. Li, “Learning path recommendation based on knowledge tracing and reinforcement learning,” Proc. IEEE ICCCC, 2019.
17. Q. Li et al., “Graph enhanced hierarchical reinforcement learning for goal-oriented learning path recommendation,” Proc. ACM CIKM, 2023
18. S. Jiang et al., “Personalized learning path with time-aware attention-based reinforcement learning,” ACM Trans. Intell. Syst. Technol., 2025.
19. X. Chen et al., “Set-to-sequence ranking-based concept-aware learning path recommendation,” Proc. AAAI, 2023.
20. H.-N. Nguyen, “A knowledge graph-based framework for personalized course recommendations,” Proc. ICAIBD, 2025.
21. J. Zhang et al., “Data-driven learning path design using knowledge graph and tracing model,” IEEE HPCC/DSS/SmartCity, 2023.
1. Y.-C. Chen, L. Hui, and T. Thaipisutikul, “A collaborative filtering recommendation system with dynamic time decay,” J. Supercomput.,
vol. 77, no. 1, pp. 244–262, Jan. 2021, doi: 10.1007/s11227-020-03266-2.
2. Z. Fu et al., “Integrating reinforcement learning with dynamic knowledge tracing for personalized learning path optimization,” Sci. Rep., vol15, 2025.
3. I. Gligorea, “Adaptive learning using artificial intelligence in e-learning,” Educ. Sci., vol. 13, no. 12, 2023.
4. S. Haldar, S. Sengupta, and A. K. Das, “Personalized learning path recommendation using graph reinforcement learning,” Procedia Comput.
Sci., 2025.
5. A comprehensive review of deep learning–based knowledge tracing models (ACM), 2025.
6. T. Kabudi et al., “AI-enabled adaptive learning systems: A systematic review,” Comput. Educ. AI, 2021.
7. H. Yang, “A survey of deep learning based knowledge tracing,” Knowl. Based Syst., 2025.
8. J. Li, “Learning path recommendation based on reinforcement learning,” Eng. Lett., vol. 32, no. 9, 2025.
9. F. Zhang et al., “Personalized process-type learning path recommendation based on deep knowledge tracing,” Knowl. Based Syst., 2024.
10. F. Stasolla et al., “Deep learning and reinforcement learning for assessing and enhancing academic performance,” AI, 2025
11. A. Riedmann et al., “Reinforcement learning in education: A systematic literature review,” Educ. Technol. Soc., 2025.
12. X. Zhang et al., “Personalized learning path recommendation using knowledge graphs,” World Sci., 2023.
13. Y. Lin et al., “Learning path recommendation enhanced by knowledge tracing and large language models,” Electronics, 2025.
14. M. Delianidi, “DK-PRACTICE: An intelligent platform for knowledge tracing and recommendation,” Preprint, 2025
15. S. Sarsa, “Empirical evaluation of deep learning models for knowledge tracing,” J. Educ. Data Min., 2022.
16. A. Li, “Learning path recommendation based on knowledge tracing and reinforcement learning,” Proc. IEEE ICCCC, 2019.
17. Q. Li et al., “Graph enhanced hierarchical reinforcement learning for goal-oriented learning path recommendation,” Proc. ACM CIKM, 2023
18. S. Jiang et al., “Personalized learning path with time-aware attention-based reinforcement learning,” ACM Trans. Intell. Syst. Technol., 2025.
19. X. Chen et al., “Set-to-sequence ranking-based concept-aware learning path recommendation,” Proc. AAAI, 2023.
20. H.-N. Nguyen, “A knowledge graph-based framework for personalized course recommendations,” Proc. ICAIBD, 2025.
21. J. Zhang et al., “Data-driven learning path design using knowledge graph and tracing model,” IEEE HPCC/DSS/SmartCity, 2023.
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