• Aug 06, 2018 News! IJIET Vol. 7, No. 1-No. 8 have been indexed by EI (Inspec).   [Click]
  • Sep 11, 2018 News!Vol. 8, No. 11 has been indexed by Crossref.
  • Sep 04, 2018 News!Vol. 8, No. 11 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2018 Vol.8(8): 553-558 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.8.1098

Reinforcement Learning in a POMDP Based Intelligent Tutoring System for Optimizing Teaching Strategies

Fangju Wang
Abstract—The abilities to improve teaching strategies online is important for an intelligent tutoring system (ITS) to perform adaptive teaching. Reinforcement learning (RL) may help an ITS obtain the abilities. Conventionally, RL works in a Markov decision process (MDP) framework. However, to handle uncertainties in teaching/studying processes, we need to apply the partially observable Markov decision process (POMDP) model in building an ITS. In a POMDP framework, it is difficult to use the improvement algorithms of the conventional RL because the required state information is unavailable. In our research, we have developed a reinforcement learning technique, which enables a POMDP-based ITS to learn from its teaching experience and improve teaching strategies online.

Index Terms—Computer supported education, intelligent tutoring system, reinforcement learning, partially observable Markov decision process.

F. Wang is with the School of Computer Science, University of Guelph, Ontario, Canada (e-mail: fjwang@uoguelph.ca).

[PDF]

Cite: Fangju Wang, "Reinforcement Learning in a POMDP Based Intelligent Tutoring System for Optimizing Teaching Strategies," International Journal of Information and Education Technology vol. 8, no. 8, pp. 553-558, 2018.

Copyright © 2008-2018. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net