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Social Network Analysis, online group communication structure and the measure of cohesion
Title:
Social Network Analysis, online group communication structure and the measure of cohesion
ID:
mce-simu-sna-all
Link to the object:
Online:
Yes
Archive:
Contributor:
Reffay Christophe ; Chanier Thierry (author)
Reffay Christophe ; Chanier Thierry (researcher)
Chanier Thierry (depositor)
Chanier Thierry (editor)
Reffay Christophe (author)
Date:
2009-05-09
Publisher:
Mulce (MULtimodal Corpus Exchange) ; Universite Blaise Pascal ; Clermont-Ferrand:France ; URL:http://mulce.org
Description:
This corpus is based on data extracted from the global Learning & Teaching Corpus Simuligne. It provides research data upon which publications here referred to (mainly Reffay, C. & Chanier, T. (2003a)). It has been argued that cohesion plays a central role in collaborative learning. In face-to-face classes, it can be reckoned from several visual or oral cues. In a Learning Management System or CSCL environment, such cues are absent. In this paper, we show that Social Network Analysis concepts, adapted to the collaborative distance-learning context, can help measuring the cohesion of small groups. Working on data extracted from a 10-week distance-learning experiment, we computed cohesion in several ways in order to highlight isolated people, active sub-groups and various roles of the members in the group communication structure. We argue that such processing, embodied in monitoring tools, can display global properties both at individual level and at group level and efficiently assist the tutor in following the collaboration within the group. It seems to be more appropriate than the long and detailed textual analysis of messages and the statistical distribution of participants' contributions.
Content language:
French
English
Subject language:
French
Language family:
Indo-European
Italic
Romance
Country:
France
United Kingdom
Linguistic type:
Primary text
Linguistic field:
Applied linguistics
Discourse analysis
Text and corpus linguistics
Discourse type:
Dialogue
Narrative
DCMI type:
Dataset
Collection
Format:
text/xml
text/plain
image/jpeg
application/vnd.ms-excel
application/pdf
LCSH subject:
Education
Data processing
Computer-assisted instruction
Language and languages
Study and teaching
Temporal coverage:
name=Simuligne course ; start=2001-04-09; end=2001-07-06
Other rights:
http://lrl-diffusion.univ-bpclermont.fr/mulce/metadata/vdex/mce_licence.xml
Rights holders of this corpus are: Thierry Chanier ;Christophe Reffay ; Marie-Laure betbeder ; Maud Ciekanski ; Marie-Noelle Lamy
Creative Common License: http://creativecommons.org/licenses/by-nc-sa/2.0/
open access after registration
Other subject:
online collaborative learning ; Social Network Analysis ; group communication structure ; cohesion ; clique ; cluster
Complete OLAC record:
Link for this page:

Find Related Information:

Archive: Multimodal Learning and teaching Corpora Exchange
Online: Yes
Subject language: French
Language family: Indo-European
Language family: Italic
Language family: Romance
Geographic region: Europe
Country: France
Country: United Kingdom
Linguistic type: Primary text
Linguistic field: Applied linguistics
Linguistic field: Discourse analysis
Linguistic field: Text and corpus linguistics
Discourse type: Dialogue
Discourse type: Narrative
DCMI type: Collection
DCMI type: Dataset
Format: application/pdf
Format: application/vnd.ms-excel
Format: image/jpeg
Format: text/plain
Format: text/xml
Content language: English
Content language: French
Date: 2000 - 2009
Date: 2000 and later
Contributor: Chanier Thierry
Contributor: Reffay Christophe
Contributor: Reffay Christophe ; Chanier Thierry
LCSH subject: Computer-assisted instruction
LCSH subject: Data processing
LCSH subject: Education
LCSH subject: Language and languages
LCSH subject: Study and teaching
Publisher: Mulce (MULtimodal Corpus Exchange) ; Universite Blaise Pascal ; Clermont-Ferrand:France ; URL:http://mulce.org
Temporal coverage: name=Simuligne course ; start=2001-04-09; end=2001-07-06
Title: Social Network Analysis, online group communication structure and the measure of cohesion
Other rights: Creative Common License: http://creativecommons.org/licenses/by-nc-sa/2.0/
Other rights: Rights holders of this corpus are: Thierry Chanier ;Christophe Reffay ; Marie-Laure betbeder ; Maud Ciekanski ; Marie-Noelle Lamy
Other rights: http://lrl-diffusion.univ-bpclermont.fr/mulce/metadata/vdex/mce_licence.xml
Other rights: open access after registration
Other subject: online collaborative learning ; Social Network Analysis ; group communication structure ; cohesion ; clique ; cluster