Novel Tools for Assessing Student Discussions: Modeling threads and participant roles using speech act and course topic analysis

Jihie Kim, Erin Shaw, Grace Chern, Roshan Herbert

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

1 Scopus citations

Abstract

This paper describes new techniques for assessing pedagogical discourse via threaded discussions that are based on an analysis of speech acts and course topics. The context is an undergraduate computer science course. We use speech act analysis to assess the effect of instructor participation on student participation and to create thread profiles that help identify threads characterized by agreement, debate, and unresolved issues, such as threads that may have unanswered questions. For the first time, we integrate an analysis of course topics to help identify discussions of particular interest or confusion.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publicationBuilding Technology Rich Learning Contexts That Work
EditorsRosemary Luckin, Kenneth R. Koedinger, Jim Greer
PublisherIOS Press BV
Pages590-592
Number of pages3
ISBN (Electronic)9781586037642
StatePublished - 2007
Event13th International Conference on Artificial Intelligence in Education, AIED 2007 - Los Angeles, United States
Duration: 9 Jul 200713 Jul 2007

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume158
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference13th International Conference on Artificial Intelligence in Education, AIED 2007
Country/TerritoryUnited States
CityLos Angeles
Period9/07/0713/07/07

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