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arXiv · 2603.07311

Data-Driven Hints in Intelligent Tutoring Systems

Sutapa Dey Tithi·Kimia Fazeli·Dmitri Droujkov·Tahreem Yasir·Xiaoyi Tian·Tiffany Barnes
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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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Sutapa Dey Tithi, Kimia Fazeli, Dmitri Droujkov, Tahreem Yasir, Xiaoyi Tian, Tiffany Barnes. 2026-03-07. Data-Driven Hints in Intelligent Tutoring Systems. https://arxiv.org/abs/2603.07311

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