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

Shitian Shen, Jihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Online discussion board has become increasingly popular in higher education. 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, presenting several viable ap-proaches including CRF, SVM, and decision tree for the state classification. 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
Title of host publicationArtificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
PublisherSpringer Verlag
Pages674-678
Number of pages5
ISBN (Print)9783642391118
DOIs
StatePublished - 2013
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: 9 Jul 201313 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Artificial Intelligence in Education, AIED 2013
Country/TerritoryUnited States
CityMemphis, TN
Period9/07/1313/07/13

Keywords

  • CRF
  • Dialogue transition
  • Online discussions
  • Speech act

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