Data-Driven Hints in Intelligent Tutoring Systems
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866912951719428096 |
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| author | Tithi, Sutapa Dey Fazeli, Kimia Droujkov, Dmitri Yasir, Tahreem Tian, Xiaoyi Barnes, Tiffany |
| author_facet | Tithi, Sutapa Dey Fazeli, Kimia Droujkov, Dmitri Yasir, Tahreem Tian, Xiaoyi Barnes, Tiffany |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07311 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Data-Driven Hints in Intelligent Tutoring Systems Tithi, Sutapa Dey Fazeli, Kimia Droujkov, Dmitri Yasir, Tahreem Tian, Xiaoyi Barnes, Tiffany Artificial Intelligence 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). |
| title | Data-Driven Hints in Intelligent Tutoring Systems |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2603.07311 |