Modeling the process of online Q & A discussions using a dialogue state model

Shitian Shen, Jihie Kim

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Online discussion board has become increasingly popular in higher ed-ucation. As a step towards analyzing the role that students and instructors play during the discussion process and assessing students' learning from discussions, we model different types of contributions made by instructors and students with a dialogue-state model. By analyzing frequent Q&A discussion patterns, we have developed a graphic model of dialogue states that captures the information role that each message plays, and used the model in analyzing student discussions. We present several viable approaches including CRF, SVM, and decision tree for the state classification. Using the state information, we analyze information exchange patterns and resolvedness of the discussion. Such analyses can give us a new insight on how students interact in online discussions and kind of assistance needed by the students.

Original languageEnglish
Pages (from-to)15-24
Number of pages10
JournalCEUR Workshop Proceedings
Volume1009
StatePublished - 2013
EventWorkshops at the 16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, United States
Duration: 9 Jul 201313 Jul 2013

Keywords

  • CRF
  • Dialogue transition
  • Online discussions
  • Speech act

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