LLM-Based Intelligent Tutoring Systems: A Survey

Kong, Li; Sun, Jianwen; Zhou, Junsheng; Ng, Vincent

doi:10.24963/ijcai.2026/875

LLM-Based Intelligent Tutoring Systems: A Survey

Li Kong, Jianwen Sun, Junsheng Zhou, Vincent Ng

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Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Survey Track. Pages 7882-7890.

https://doi.org/10.24963/ijcai.2026/875

Keywords

Natural Language Processing: Applications

Abstract

Large Language Models (LLMs) are reshaping the design and capabilities of intelligent tutoring systems (ITS) by providing powerful generative, reasoning and interaction abilities, which surpass traditional rule-based approaches. This survey presents a structured overview of LLM-based ITS and analyzes how these models transform classical system components and architectures. We first review the foundational concepts of traditional ITS and introduce the functional roles of the main components, followed by LLM-based techniques and related datasets for realizing each of these components. Furthermore, we examine the key application domains and concludes the survey by outlining future research directions.

Li Kong, Jianwen Sun, Junsheng Zhou, and Vincent Ng. 2026. LLM-Based Intelligent Tutoring Systems: A Survey. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 7882–7890. https://doi.org/10.24963/ijcai.2026/875

@inproceedings{ijcai2026p875,
  title     = {LLM-Based Intelligent Tutoring Systems: A Survey},
  author    = {Kong, Li and Sun, Jianwen and Zhou, Junsheng and Ng, Vincent},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {7882--7890},
  year      = {2026},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2026/875},
  url       = {https://doi.org/10.24963/ijcai.2026/875},
}

TY  - CPAPER
TI  - LLM-Based Intelligent Tutoring Systems: A Survey
AU  - Kong, Li
AU  - Sun, Jianwen
AU  - Zhou, Junsheng
AU  - Ng, Vincent
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 7882
EP  - 7890
DO  - 10.24963/ijcai.2026/875
UR  - https://doi.org/10.24963/ijcai.2026/875
ER  -