Analysis of teamwork dialogue: A data mining approach

Shibani, A; Koh, E; Lai, V; Shim, KJ

Analysis of teamwork dialogue: A data mining approach

Shibani, A Koh, E Lai, V Shim, KJ

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, 2016, pp. 4032-4034
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Shibani, A
dc.contributor.author	Koh, E
dc.contributor.author	Lai, V
dc.contributor.author	Shim, KJ
dc.contributor.editor	Joshi, J
dc.contributor.editor	Karypis, G
dc.contributor.editor	Liu, L
dc.contributor.editor	Hu, X
dc.contributor.editor	Ak, R
dc.contributor.editor	Xia, Y
dc.contributor.editor	Xu, W
dc.contributor.editor	Sato, AH
dc.contributor.editor	Rachuri, S
dc.contributor.editor	Ungar, L
dc.contributor.editor	Yu, PS
dc.contributor.editor	Govindaraju, R
dc.contributor.editor	Suzumura, T
dc.date	2016-12-05
dc.date.accessioned	2020-11-19T03:50:39Z
dc.date.available	2020-11-19T03:50:39Z
dc.date.issued	2016-01-01
dc.identifier.citation	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, 2016, pp. 4032-4034
dc.identifier.isbn	9781467390040
dc.identifier.uri	http://hdl.handle.net/10453/144153
dc.description.abstract	© 2016 IEEE. With the advent of the Internet and wide-spread popularity of online technology-enhanced learning platforms, many pedagogical activities today involve learners in online discussions such as synchronous chat. In this study, we describe a text mining method used for analyzing teamwork from such chat dialogue of students. The steps in the text mining method such as pre-processing and classification are described and the results of our analysis are presented in this paper.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
dc.relation.ispartof	4th IEEE International Conference on Big Data (Big Data)
dc.relation.isbasedon	10.1109/BigData.2016.7841100
dc.rights	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Analysis of teamwork dialogue: A data mining approach
dc.type	Conference Proceeding
utslib.location.activity	Washington, DC
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-19T03:50:36Z
pubs.finish-date	2016-12-08
pubs.publication-status	Published
pubs.start-date	2016-12-05

Abstract:

© 2016 IEEE. With the advent of the Internet and wide-spread popularity of online technology-enhanced learning platforms, many pedagogical activities today involve learners in online discussions such as synchronous chat. In this study, we describe a text mining method used for analyzing teamwork from such chat dialogue of students. The steps in the text mining method such as pre-processing and classification are described and the results of our analysis are presented in this paper.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/144153