March 7, 2024, 5:47 a.m. | Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.03307v1 Announce Type: new
Abstract: Educational chatbots are a promising tool for assisting student learning. However, the development of effective chatbots in education has been challenging, as high-quality data is seldom available in this domain. In this paper, we propose a framework for generating synthetic teacher-student interactions grounded in a set of textbooks. Our approaches capture one aspect of learning interactions where curious students with partial knowledge interactively ask a teacher questions about the material in the textbook. We highlight …

abstract arxiv chatbots cost cs.cl data development domain education educational framework however interactions paper quality quality data synthetic tool type

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