Context Based Classification for Automatic Collaborative Learning Process Analysis

Authors:
Yi-Chia Wang;Mahesh Joshi;Carolyn Rosé;Frank Fischer;Armin Weinberger;Karsten Stegmann
Affiliations:
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA, 15213 USA. {yichiaw,maheshj,cp3a}@andrew.cmu.edu;Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA, 15213 USA. {yichiaw,maheshj,cp3a}@andrew.cmu.edu;Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA, 15213 USA. {yichiaw,maheshj,cp3a}@andrew.cmu.edu;Ludwig Maximillians Universitaet, Leopoldstrasse 13, 80802 Munich, Germany, {Frank.Fischer,Armin.Weinberger,Karsten.Stegmann}@psy.lmu.de;Ludwig Maximillians Universitaet, Leopoldstrasse 13, 80802 Munich, Germany, {Frank.Fischer,Armin.Weinberger,Karsten.Stegmann}@psy.lmu.de;Ludwig Maximillians Universitaet, Leopoldstrasse 13, 80802 Munich, Germany, {Frank.Fischer,Armin.Weinberger,Karsten.Stegmann}@psy.lmu.de
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

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Abstract

We present a publicly available tool called TagHelper that can be used to support the analysis of conversational data using automatic text classification technology. The contribution of this paper is to explore the limitations of the current simple approach to text processing employed by TagHelper tools with respect to identifying context-sensitive categories of conversational behavior. TagHelper can be downloaded from http://www.cs.cmu.edu/̋cprose/TagHelper.html.