Data-Driven Hints in Intelligent Tutoring Systems

Sutapa Dey Tithi, Kimia Fazeli, Dmitri Droujkov, Tahreem Yasir, Xiaoyi Tian +1 more
3/7/2026
cs.AI

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Abstract

This chapter explores the evolution of data-driven hint generation for intelligent tutoring systems (ITS). The Hint Factory and Interaction Networks have enabled the generation of next-step hints, waypoints, and strategic subgoals from historical student data. Data-driven techniques have also enabled systems to find the right time to provide hints. We explore further potential data-driven adaptations for problem solving based on behavioral problem solving data and the integration of Large Language Models (LLMs).

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Cite this paper

@article{tithi2026datadriven,
  title  = {Data-Driven Hints in Intelligent Tutoring Systems},
  author = {Sutapa Dey Tithi and Kimia Fazeli and Dmitri Droujkov and Tahreem Yasir and Xiaoyi Tian and Tiffany Barnes},
  year   = {2026},
  eprint = {2603.07311},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.07311v1}
}

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