EDM 2019 Workshop: Reinforcement Learning for Educational Data Mining

Call for Papers: Reinforcement Learning for Educational Data Mining

Overview:

Advances in the tutoring systems present a unique opportunity for effective and cost-efficient tutoring for the students. Such tutoring systems produce a large amount of educational data. Therefore, there is a growing need for data-driven learning techniques applicable to the development of Intelligent Tutoring Systems (ITSs).

Since successful cases of data-driven approaches in ITS have increased substantially in the past years, there is a growing need for researchers to share the new methods and present their work.

This workshop will provide the opportunity for researchers to 1) present their negative as well as positive results in order to learn from past experiments, 2) present and discuss the state-of-the-art techniques in RL, 3) expand the community of researchers interested in the field.

In this workshop, we welcome full and short papers, as well as posters concerned with the application of RL in education. The research includes diverse issues in RL for ITSs such as representing learning states, defining reward functions, discovering effective actions, and introducing new ITS environments. Specifically, we solicit works including but not limited to:

  • Tabular Reinforcement Learning
    • Markov Decision Processes (MDP)
    • Partially Observable Markov Decision Process (POMDP)
    • Monte Carlo Simulation (MCS)
  • Reinforcement Learning with approximation.
    • Model-based and model-free methods
    • Off-policy and on-policy methods
    • Q-learning
    • Policy Gradient algorithms
    • Actor-Critic algorithms
  • Offline Policy Evaluation (Importance Sampling and variants)


Submission Instructions:

  • Submission deadline: Tuesday, May 21, 2019
  • Acceptance notification: Monday, June 3, 2019
  • Final camera-ready deadline: Monday, June 17, 2019
  • RL for EDM Workshop date: Tuesday July 2, 2019
  • Submissions should be formatted using the EDM template:
  • Submission via EasyChair
  • All accepted papers will be published in CEUR-WS.org.

Organizers:

  • Hamoon Azizsoltani: SAS Institute
  • Markel Sanz Ausin: North Carolina State University
  • Anna Rafferty: Carleton College
  • Joseph Jay Williams: University of Toronto
  • Yeo Jin Kim: North Carolina State University
  • Tiffany Barnes: North Carolina State University
  • Min Chi: North Carolina State University.

When: 8:45am-12:30pm, Tuesday July 2nd