Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis

Maria Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Stefan Trausan-Matu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Online learning environments are increasingly used by students and instructors. Cohesion Network Analysis (CNA) can be employed by instructors to analyze discourse structure in terms of cohesive links in order to model student participation and interactions in collaborative learning environments. This paper presents an extended longitudinal analysis together with corresponding visualizations of participation generated for an online math course, powered by CNA. Multiple interactive views centered on the evolution of participation and of interactions between students clustered into three layers are generated using the CNA indices provided by the ReaderBench framework. Two types of sociograms are used to show the interactions between learners in the two course weeks that exhibited extreme conditions, namely: a) week 6, when a dramatic decrease of participation was identified, and b) week 16, when the highest number of participants and contributions were logged. In addition to the views centered on participants, we introduce a heatmap depicting the evolution of keyword relevance over time, as well as a Chord diagram for visualizing concept maps based on semantic relatedness. Our analytics dashboard can be used by tutors to monitor students throughout the term and to better ascertain the correlation of course material, schedule, and deadlines with the participation of students, as well as their interactions among themselves and with the tutor.

Original languageEnglish (US)
Title of host publicationA Wide Lens
Subtitle of host publicationCombining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings
EditorsKristine Lund, Gerald P. Niccolai, Elise Lavoue, Cindy Hmelo-Silver, Gahgene Gweon, Michael Baker
PublisherInternational Society of the Learning Sciences (ISLS)
ISBN (Electronic)9781732467248
StatePublished - Jan 1 2019
Externally publishedYes
Event13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019 - Lyon, France
Duration: Jun 17 2019Jun 21 2019

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019
CountryFrance
CityLyon
Period6/17/196/21/19

Fingerprint

Electric network analysis
network analysis
visualization
Visualization
Students
participation
interaction
tutor
student
instructor
learning environment
sociogram
Semantics
semantics
discourse

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

Cite this

Sirbu, M. D., Dascalu, M., Crossley, S. A., McNamara, D. S., & Trausan-Matu, S. (2019). Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis. In K. Lund, G. P. Niccolai, E. Lavoue, C. Hmelo-Silver, G. Gweon, & M. Baker (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2). International Society of the Learning Sciences (ISLS).

Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis. / Sirbu, Maria Dorinela; Dascalu, Mihai; Crossley, Scott A.; McNamara, Danielle S.; Trausan-Matu, Stefan.

A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. ed. / Kristine Lund; Gerald P. Niccolai; Elise Lavoue; Cindy Hmelo-Silver; Gahgene Gweon; Michael Baker. International Society of the Learning Sciences (ISLS), 2019. (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sirbu, MD, Dascalu, M, Crossley, SA, McNamara, DS & Trausan-Matu, S 2019, Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis. in K Lund, GP Niccolai, E Lavoue, C Hmelo-Silver, G Gweon & M Baker (eds), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. Computer-Supported Collaborative Learning Conference, CSCL, vol. 2, International Society of the Learning Sciences (ISLS), 13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019, Lyon, France, 6/17/19.
Sirbu MD, Dascalu M, Crossley SA, McNamara DS, Trausan-Matu S. Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis. In Lund K, Niccolai GP, Lavoue E, Hmelo-Silver C, Gweon G, Baker M, editors, A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. International Society of the Learning Sciences (ISLS). 2019. (Computer-Supported Collaborative Learning Conference, CSCL).
Sirbu, Maria Dorinela ; Dascalu, Mihai ; Crossley, Scott A. ; McNamara, Danielle S. ; Trausan-Matu, Stefan. / Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis. A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. editor / Kristine Lund ; Gerald P. Niccolai ; Elise Lavoue ; Cindy Hmelo-Silver ; Gahgene Gweon ; Michael Baker. International Society of the Learning Sciences (ISLS), 2019. (Computer-Supported Collaborative Learning Conference, CSCL).
@inproceedings{f10d613c36f34a35a8967573befedc0c,
title = "Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis",
abstract = "Online learning environments are increasingly used by students and instructors. Cohesion Network Analysis (CNA) can be employed by instructors to analyze discourse structure in terms of cohesive links in order to model student participation and interactions in collaborative learning environments. This paper presents an extended longitudinal analysis together with corresponding visualizations of participation generated for an online math course, powered by CNA. Multiple interactive views centered on the evolution of participation and of interactions between students clustered into three layers are generated using the CNA indices provided by the ReaderBench framework. Two types of sociograms are used to show the interactions between learners in the two course weeks that exhibited extreme conditions, namely: a) week 6, when a dramatic decrease of participation was identified, and b) week 16, when the highest number of participants and contributions were logged. In addition to the views centered on participants, we introduce a heatmap depicting the evolution of keyword relevance over time, as well as a Chord diagram for visualizing concept maps based on semantic relatedness. Our analytics dashboard can be used by tutors to monitor students throughout the term and to better ascertain the correlation of course material, schedule, and deadlines with the participation of students, as well as their interactions among themselves and with the tutor.",
author = "Sirbu, {Maria Dorinela} and Mihai Dascalu and Crossley, {Scott A.} and McNamara, {Danielle S.} and Stefan Trausan-Matu",
year = "2019",
month = "1",
day = "1",
language = "English (US)",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
editor = "Kristine Lund and Niccolai, {Gerald P.} and Elise Lavoue and Cindy Hmelo-Silver and Gahgene Gweon and Michael Baker",
booktitle = "A Wide Lens",

}

TY - GEN

T1 - Longitudinal analysis and visualization of participation in online courses powered by cohesion network analysis

AU - Sirbu, Maria Dorinela

AU - Dascalu, Mihai

AU - Crossley, Scott A.

AU - McNamara, Danielle S.

AU - Trausan-Matu, Stefan

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Online learning environments are increasingly used by students and instructors. Cohesion Network Analysis (CNA) can be employed by instructors to analyze discourse structure in terms of cohesive links in order to model student participation and interactions in collaborative learning environments. This paper presents an extended longitudinal analysis together with corresponding visualizations of participation generated for an online math course, powered by CNA. Multiple interactive views centered on the evolution of participation and of interactions between students clustered into three layers are generated using the CNA indices provided by the ReaderBench framework. Two types of sociograms are used to show the interactions between learners in the two course weeks that exhibited extreme conditions, namely: a) week 6, when a dramatic decrease of participation was identified, and b) week 16, when the highest number of participants and contributions were logged. In addition to the views centered on participants, we introduce a heatmap depicting the evolution of keyword relevance over time, as well as a Chord diagram for visualizing concept maps based on semantic relatedness. Our analytics dashboard can be used by tutors to monitor students throughout the term and to better ascertain the correlation of course material, schedule, and deadlines with the participation of students, as well as their interactions among themselves and with the tutor.

AB - Online learning environments are increasingly used by students and instructors. Cohesion Network Analysis (CNA) can be employed by instructors to analyze discourse structure in terms of cohesive links in order to model student participation and interactions in collaborative learning environments. This paper presents an extended longitudinal analysis together with corresponding visualizations of participation generated for an online math course, powered by CNA. Multiple interactive views centered on the evolution of participation and of interactions between students clustered into three layers are generated using the CNA indices provided by the ReaderBench framework. Two types of sociograms are used to show the interactions between learners in the two course weeks that exhibited extreme conditions, namely: a) week 6, when a dramatic decrease of participation was identified, and b) week 16, when the highest number of participants and contributions were logged. In addition to the views centered on participants, we introduce a heatmap depicting the evolution of keyword relevance over time, as well as a Chord diagram for visualizing concept maps based on semantic relatedness. Our analytics dashboard can be used by tutors to monitor students throughout the term and to better ascertain the correlation of course material, schedule, and deadlines with the participation of students, as well as their interactions among themselves and with the tutor.

UR - http://www.scopus.com/inward/record.url?scp=85073350211&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073350211&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85073350211

T3 - Computer-Supported Collaborative Learning Conference, CSCL

BT - A Wide Lens

A2 - Lund, Kristine

A2 - Niccolai, Gerald P.

A2 - Lavoue, Elise

A2 - Hmelo-Silver, Cindy

A2 - Gweon, Gahgene

A2 - Baker, Michael

PB - International Society of the Learning Sciences (ISLS)

ER -