Mathtutor Problem Set 6.01 (Demo)

This is the original dataset where we conducted data-driven redesign in Spring 2019, laying the foundation for future redesigns and the LAK '21 paper. Note that in the redesigned tutor, (due to the intro of new tasks), new KCs inspired by the refined KC model here (dc_syw-3f_ef-1f_cxgy-2f_cygx-2f) were introduced, such as "figure out math operators from a story", "substitute into an expression"; some secondary KCs were removed (e.g., those w/ "repeat" suffix). So the final KC model in the redesgined tutor is different from the refined KC model here.

本数据集为2019年春季我们开展数据驱动式重设计工作时所使用的原始数据集，为后续的重设计工作以及LAK '21会议论文奠定了研究基础。需说明：在重设计后的智能导学系统中，由于引入了全新任务，我们基于本数据集所提出的精炼知识组件（Knowledge Component，简称KC）模型（dc_syw-3f_ef-1f_cxgy-2f_cygx-2f）新增了若干知识组件，例如“从文本故事中推导数学运算符”“将数值代入表达式”；同时移除了部分次要知识组件，例如那些带有“repeat”后缀的知识组件。因此，重设计后的智能导学系统最终采用的知识组件模型与本数据集所使用的精炼知识组件模型存在差异。