Go back to research

A Problem-Recommendation Algorithm for Online Tutoring Systems Using Reinforcement Learning

Mar. 2025 – Jan. 2026
#AI #Education #Reinforcement Learning #Research

Role: Researcher (Independent Research) · Period: Mar. 2025 – Jan. 2026

The inspiration of this project comes from my own experience with mathematics education, including involvement in my school math club and a non-profit global organization. I delved into the topic of personalized education in the hopes of alleviating the scarcity of educational resources and improving educational equality.

  • Method. The algorithm uses reinforcement learning to adapt problem selection to each learner’s needs, personalizing their learning pathway rather than serving a fixed sequence of problems.
  • Goal. The goal is to maximize engagement and improve learning outcomes by matching instructional support to each student’s immediate potential for growth.
  • Recognition. Recognized by the China Science Talent Program for innovative AI applications in education.
  • KSEF 2026. Silver Award, Computer Science category.
  • IGO 2026. Bronze Medal, AI category.