GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine

Authors

  • Zhuoxuan Jiang Shanghai Business School
  • Yanpeng Li Shanghai Business School
  • Tianyang Zhang Learnable.ai
  • Jing Chen Shanghai Jiaotong University
  • Yong Li Beijing Shangruitong Education Technology Co., Ltd. (TeacherClub.com.cn)
  • Mo Guang Li Auto Inc.
  • Wen Si Shanghai Business School
  • Shaohua Zhang Shanghai Business School

DOI:

https://doi.org/10.1609/aaai.v40i48.42357

Abstract

We propose a novel system, GeoProblem Factory, designed to effectively generate high-quality geometry problems for intelligent education. The system enables to efficiently produce batches of geometry problems for teachers and students, either to save time and manual effort or to support personalized learning. Generating geometry problems is particularly challenging, as it requires ensuring both solvability and controllability from a pedagogical perspective. To address these issues, we adopt a state-of-the-art pipeline method based on a symbolic deduction engine and develop a visual interaction demo. This demo allows users to easily refine the generated problems through visual operations. It provides two modes for inputting controllable information: specifying knowledge points or supplying a reference problem. Moreover, the system can automatically generate a preliminary geometric diagram corresponding to each problem for further refinement. Through human–machine interaction, the system can more efficiently produce high-quality geometry problems than ever.

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Published

2026-03-14

How to Cite

Jiang, Z., Li, Y., Zhang, T., Chen, J., Li, Y., Guang, M., … Zhang, S. (2026). GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41613–41615. https://doi.org/10.1609/aaai.v40i48.42357