AutoMentor: Artificial Intelligent Mentor in Educational Game

  • Jin Wang
  • Haiying Li
  • Zhiqiang Cai
  • Fazel Keshtkar
  • Art Graesser
  • David Williamson Shaffer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

AutoMentor is an artificial intelligent mentor who guides groups of players to accomplish tasks through online interaction including chats and E-mails in a serious game called “Land Science”. The architecture of AutoMentor consists of such analysis modules as speech act classifier, newness, relevance, epistemic network analysis and state transition network. The analyses of these modules make human mentor to be replaced by automated mentor agent. The forms of conversation among mentor agent and groups of students involve multi-logues and mutli-turns.

Keywords

AutoMentor educational game 

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jin Wang
    • 1
  • Haiying Li
    • 1
  • Zhiqiang Cai
    • 1
  • Fazel Keshtkar
    • 1
  • Art Graesser
    • 1
  • David Williamson Shaffer
    • 2
  1. 1.University of MemphisUSA
  2. 2.University of Wisconsin-MadisonUSA

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