TY - GEN
T1 - Discourse cohesion
T2 - 5th International Conference on Learning Analytics and Knowledge, LAK 2015
AU - Dascalu, Mihai
AU - Trausan-Matu, Stefan
AU - Dessus, Philippe
AU - McNamara, Danielle
N1 - Funding Information:
We would like to thank the students of University "Politehnica" of Bucharest who participated in our experiments. This research was partially supported by the LTfLL FP7 project, by the Sectoral Operational Programme Human Resources Development 2007- 2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/134398 and by NSF grants 1417997 and 1418378 to Arizona State University.
PY - 2015/3/16
Y1 - 2015/3/16
N2 - As Computer Supported Collaborative Learning (CSCL) becomes increasingly adopted as an alternative to classic educational scenarios, we face an increasing need for automatic tools designed to support tutors in the time consuming process of analyzing conversations and interactions among students. Therefore, building upon a cohesion-based model of the discourse, we have validated ReaderBench, a system capable of evaluating collaboration based on a social knowledge-building perspective. Through the inter-twining of different participants' points of view, collaboration emerges and this process is reflected in the identified cohesive links between different speakers. Overall, the current experiments indicate that textual cohesion successfully detects collaboration between participants as ideas are shared and exchanged within an ongoing conversation.
AB - As Computer Supported Collaborative Learning (CSCL) becomes increasingly adopted as an alternative to classic educational scenarios, we face an increasing need for automatic tools designed to support tutors in the time consuming process of analyzing conversations and interactions among students. Therefore, building upon a cohesion-based model of the discourse, we have validated ReaderBench, a system capable of evaluating collaboration based on a social knowledge-building perspective. Through the inter-twining of different participants' points of view, collaboration emerges and this process is reflected in the identified cohesive links between different speakers. Overall, the current experiments indicate that textual cohesion successfully detects collaboration between participants as ideas are shared and exchanged within an ongoing conversation.
KW - Cohesion
KW - Collaboration Assessment
KW - Computer Supported Collaborative Learning
KW - Discourse Analysis
KW - Learning Analytics
UR - http://www.scopus.com/inward/record.url?scp=84955606954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84955606954&partnerID=8YFLogxK
U2 - 10.1145/2723576.2723578
DO - 10.1145/2723576.2723578
M3 - Conference contribution
AN - SCOPUS:84955606954
T3 - ACM International Conference Proceeding Series
SP - 350
EP - 354
BT - Proceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015
PB - Association for Computing Machinery
Y2 - 16 March 2015 through 20 March 2015
ER -