RadarMath: An Intelligent Tutoring System for Math Education

Authors

  • Yu Lu Beijing Normal University, Beijing, China
  • Yang Pian Beijing Normal University, Beijing, China
  • Penghe Chen Beijing Normal University, Beijing, China
  • Qinggang Meng Beijng Normal University, Beijing, China
  • Yunbo Cao Tencent Cloud Xiaowei, Beijing, China

Keywords:

Intelligent Tutoring System, Automatic Grading, Personalized Learning

Abstract

We propose and implement a novel intelligent tutoring system, called RadarMath, to support intelligent and personalized learning for math education. The system provides the services including automatic grading and personalized learning guidance. Specifically, two automatic grading models are designed to accomplish the tasks for scoring the text-answer and formula-answer questions respectively. An education-oriented knowledge graph with the individual learner’s knowledge state is used as the key tool for guiding the personalized learning process. The system demonstrates how the relevant AI techniques could be applied in today's intelligent tutoring systems.

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Published

2021-05-18

How to Cite

Lu, Y., Pian, Y., Chen, P., Meng, Q., & Cao, Y. (2021). RadarMath: An Intelligent Tutoring System for Math Education. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16087-16090. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/18020