Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/2484
Title: The automatic assessment of knowledge integration processes in project teams
Authors: Gweon, Gahgene
Agrawal, Pulkit
Udani, Mikesh
Raj, Bhiksha
Rose, Carolyn
Issue Date: Jun-2011
Publisher: International Society of the Learning Sciences
Citation: Gweon, G., Agrawal, P., Udani, M., Raj, B., & Rose, C. (2011). The automatic assessment of knowledge integration processes in project teams. In Spada, H., Stahl, G., Miyake, N., & Law, N. (Eds.), Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL2011 Conference Proceedings. Volume I — Long Papers (pp. 462-469). Hong Kong, China: International Society of the Learning Sciences.
Abstract: Automatic assessment of group processes in collaborative groups is one of the holy grails of the computer supported collaborative learning community. The conversation in collaborative work provides an important window into the inner workings of a group. In this paper we present work towards detecting where students are displaying "reasoning" in conversational speech and how others are building upon those expressions of reasoning ("idea co-construction (ICC)"). Such technology would add to the body of work in educational data mining another means of monitoring student work as well as contributing to the area of automatic collaborative process analysis. We begin by discussing our operationalization of targeted group processes, namely reasoning and ICC. We then discuss the level of success we are able to achieve applying machine learning technology to replicate this human analysis using simple audio signal processing techniques.
URI: https://doi.dx.org/10.22318/cscl2011.462
https://repository.isls.org//handle/1/2484
Appears in Collections:CSCL 2011

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