Information

Overview

The tutorial will provide an overview of the research opportunities and challenges in applying reinforcement learning (RL) methods for improving education (ED). The tutorial will focus on two thrusts: (i) Leveraging recent advances in RL methods to improve the state-of-the art technology for ED and (ii) Identifying unique challenges in ED that can help nurture technical innovations and next breakthroughs in RL. The tutorial will cover the following content:

• Introduction to RL4ED problem settings
  [Sources: Survey article on RL4ED; David Silver's RL lectures]
• RL-based Instructional Policy
  [Sources: Bassen et al. CHI 2020 paper]
• RL-based Hint Policy
  [Sources: Efremov et al. EDM 2020 paper]
• RL-based Quizzing Policy
  [Sources: He-Yueya et al. EDM 2021 paper]
• Hands-on Project: RL for Karel Programming
  [Sources: Project details in a PDF document]