Automate Knowledge Concept Tagging on Math Questions with LLMs

arXiv:2403.17281v1 Announce Type: new
Abstract: Knowledge concept tagging for questions plays a crucial role in contemporary intelligent educational applications, including learning progress diagnosis, practice question recommendations, and course content organization. Traditionally, these annotations have been conducted manually with help from pedagogical experts, as the task requires not only a strong semantic understanding of both question stems and knowledge definitions but also deep insights into connecting question-solving logic with corresponding knowledge concepts. In this paper, we explore automating the tagging task …

abstract annotations applications arxiv automate concept course cs.cl diagnosis educational experts intelligent knowledge llms math organization practice progress question questions recommendations role semantic tagging type