Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring
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arXiv
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866909027842129920 |
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| author | Kizilcec, René Vanacore, Kirk Zhou, Zhuqian Pietrzak, Doug Dias, Jorge Zhang, Haocheng Ahtisham, Bakhtawar Marland, Joshua Slama, Rachel Reich, Justin Koedinger, Kenneth |
| author_facet | Kizilcec, René Vanacore, Kirk Zhou, Zhuqian Pietrzak, Doug Dias, Jorge Zhang, Haocheng Ahtisham, Bakhtawar Marland, Joshua Slama, Rachel Reich, Justin Koedinger, Kenneth |
| contents | We introduce the Million Tutoring Moves (MTM) project, an open dataset initiative aimed at advancing the science of tutoring through large-scale, reusable, and multimodal interaction data. MTM is developed within the National Tutoring Observatory (NTO), a research infrastructure designed to study authentic tutoring interactions and translate them into actionable insights for research, practice, and AI-powered educational technology development. In this paper, we present the vision behind MTM and describe MTM v1, an initial release consisting of 4,654 math tutoring transcripts from a U.S.-based nonprofit online tutoring platform. MTM v1 serves as a first step toward a broader repository that is safe, open, large-scale, broad-coverage, and multimodal. By making tutoring interactions systematically observable and analyzable, MTM aims to support research on instructional processes, improve tutoring practice, and enable the development of AI systems grounded in real educational interactions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_08092 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring Kizilcec, René Vanacore, Kirk Zhou, Zhuqian Pietrzak, Doug Dias, Jorge Zhang, Haocheng Ahtisham, Bakhtawar Marland, Joshua Slama, Rachel Reich, Justin Koedinger, Kenneth Computers and Society We introduce the Million Tutoring Moves (MTM) project, an open dataset initiative aimed at advancing the science of tutoring through large-scale, reusable, and multimodal interaction data. MTM is developed within the National Tutoring Observatory (NTO), a research infrastructure designed to study authentic tutoring interactions and translate them into actionable insights for research, practice, and AI-powered educational technology development. In this paper, we present the vision behind MTM and describe MTM v1, an initial release consisting of 4,654 math tutoring transcripts from a U.S.-based nonprofit online tutoring platform. MTM v1 serves as a first step toward a broader repository that is safe, open, large-scale, broad-coverage, and multimodal. By making tutoring interactions systematically observable and analyzable, MTM aims to support research on instructional processes, improve tutoring practice, and enable the development of AI systems grounded in real educational interactions. |
| title | Million Tutoring Moves (MTM): An Open Multimodal Dataset for the Science of Tutoring |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2605.08092 |