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AI-Driven Intelligent Tutoring System Using Multi-LLM Orchestration, Retrieval-Augmented Generation, and Knowledge Graphs
Authors
1 2 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 50-55
- Article Type
- Research Article
- Check for updates
-
References
1. F. AlShaikh and N. Hewahi, “AI and Machine Learning Tech- niques in the Development of Intelligent Tutoring System: A Re- view,” in Proc. 2021 Int. Conf. on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, doi: 10.1109/3ICT53449.2021.9582029.
2. T. Zobel, T. Staubitz, and C. Meinel, “Introducing a Smart Learning Assistant on a MOOC Platform: Enhancing Personalized Learning Experiences,” in Proc. IEEE 2nd German Education Conf. (GECon), 2023, pp. 1–6, doi: 10.1109/GECON58119.2023.10295099.
3. S. Senanayake, K. Karunanayaka, and K. V. J. P. Ekanayake, “Review on AI Assistant Systems for Programming Language Learning in Learning Environments,” in Proc. 8th SLAAI Int. Conf. on Artificial Intelligence (SLAAI-ICAI), 2024, doi: 10.1109/SLAAI-ICAI63667.2024.10844969.
4. P. Patel et al., “AI-Powered Chatbots as Virtual Teaching Assistants in Online Education Using Natural Language Processing for Student Support,” 2025.
5. M. M. Sangeetha, N. Nelakurthi, P. K. Anumala Setty, D. Gingupalli, and C. Katta, “AI-Powered Smart Learning Assistant with Speech Recogni- tion,” in Proc. 4th Int. Conf. on Automation, Computing and Renewable Systems (ICACRS), 2025, doi: 10.1109/ICACRS67045.2025.11324149.
6. K. Yacef, “Intelligent Teaching Assistant Systems,” in Proc. Int. Conf. on Computers in Education (ICCE), 2002, pp. 136–143.
7. N. Sai Sumanth, S. Vishnu Priya, S. M. Sankari, and K. S. Ka- matchi, “AI-Enhanced Learning Assistant Platform,” in Proc. 7th Int. Conf. on Inventive Computation Technologies (ICICT), 2024, doi: 10.1109/ICICT60155.2024.10545011.
8. P. Lewis et al., “Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,” in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020.
9. T. H. Chen et al., “Retrieval-Augmented Tutoring for Factual and Citation-Grounded Learning,” 2023.
10. S. Ji et al., “A Survey on Knowledge Graphs: Representation, Acquisi- tion, and Applications,” IEEE Trans. on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 494–514, 2022.
2. T. Zobel, T. Staubitz, and C. Meinel, “Introducing a Smart Learning Assistant on a MOOC Platform: Enhancing Personalized Learning Experiences,” in Proc. IEEE 2nd German Education Conf. (GECon), 2023, pp. 1–6, doi: 10.1109/GECON58119.2023.10295099.
3. S. Senanayake, K. Karunanayaka, and K. V. J. P. Ekanayake, “Review on AI Assistant Systems for Programming Language Learning in Learning Environments,” in Proc. 8th SLAAI Int. Conf. on Artificial Intelligence (SLAAI-ICAI), 2024, doi: 10.1109/SLAAI-ICAI63667.2024.10844969.
4. P. Patel et al., “AI-Powered Chatbots as Virtual Teaching Assistants in Online Education Using Natural Language Processing for Student Support,” 2025.
5. M. M. Sangeetha, N. Nelakurthi, P. K. Anumala Setty, D. Gingupalli, and C. Katta, “AI-Powered Smart Learning Assistant with Speech Recogni- tion,” in Proc. 4th Int. Conf. on Automation, Computing and Renewable Systems (ICACRS), 2025, doi: 10.1109/ICACRS67045.2025.11324149.
6. K. Yacef, “Intelligent Teaching Assistant Systems,” in Proc. Int. Conf. on Computers in Education (ICCE), 2002, pp. 136–143.
7. N. Sai Sumanth, S. Vishnu Priya, S. M. Sankari, and K. S. Ka- matchi, “AI-Enhanced Learning Assistant Platform,” in Proc. 7th Int. Conf. on Inventive Computation Technologies (ICICT), 2024, doi: 10.1109/ICICT60155.2024.10545011.
8. P. Lewis et al., “Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,” in Advances in Neural Information Processing Systems (NeurIPS), vol. 33, 2020.
9. T. H. Chen et al., “Retrieval-Augmented Tutoring for Factual and Citation-Grounded Learning,” 2023.
10. S. Ji et al., “A Survey on Knowledge Graphs: Representation, Acquisi- tion, and Applications,” IEEE Trans. on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 494–514, 2022.
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