Patterns of interaction predict social role in online learning

Huaiyi Cici Sun; Dan Calacci; Alex Sandy Pentland

Patterns of interaction predict social role in online learning

Huaiyi Cici Sun, Dan Calacci, Alex Sandy Pentland

College of Information Sciences and Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

We identify key factors that influence the social role of students in anonline class and predict student grades and roles using communication features.Our results show that students that communicate with others less overall are morelikely to work alone on future projects, while future group leaders are more likelyto have high rates of communication with other study groups. Interestingly, socialpatterns seem to be as important as learning performance and more importantthan demographic information in predicting a student's social role, and integralin predicting a student's grade.

Original language	English (US)
State	Published - 2018
Event	2018 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018 - Washington, United States Duration: Jul 10 2018 → Jul 13 2018

Conference

Conference	2018 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018
Country/Territory	United States
City	Washington
Period	7/10/18 → 7/13/18

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Modeling and Simulation

Cite this

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title = "Patterns of interaction predict social role in online learning",

abstract = "We identify key factors that influence the social role of students in anonline class and predict student grades and roles using communication features.Our results show that students that communicate with others less overall are morelikely to work alone on future projects, while future group leaders are more likelyto have high rates of communication with other study groups. Interestingly, socialpatterns seem to be as important as learning performance and more importantthan demographic information in predicting a student's social role, and integralin predicting a student's grade.",

author = "Sun, {Huaiyi Cici} and Dan Calacci and Pentland, {Alex Sandy}",

note = "Publisher Copyright: {\textcopyright} 2018 Curran Associates Inc.. All rights reserved.; 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018 ; Conference date: 10-07-2018 Through 13-07-2018",

year = "2018",

language = "English (US)",

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Patterns of interaction predict social role in online learning. / Sun, Huaiyi Cici; Calacci, Dan; Pentland, Alex Sandy.
2018. Paper presented at 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018, Washington, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Patterns of interaction predict social role in online learning

AU - Sun, Huaiyi Cici

AU - Calacci, Dan

AU - Pentland, Alex Sandy

PY - 2018

Y1 - 2018

N2 - We identify key factors that influence the social role of students in anonline class and predict student grades and roles using communication features.Our results show that students that communicate with others less overall are morelikely to work alone on future projects, while future group leaders are more likelyto have high rates of communication with other study groups. Interestingly, socialpatterns seem to be as important as learning performance and more importantthan demographic information in predicting a student's social role, and integralin predicting a student's grade.

AB - We identify key factors that influence the social role of students in anonline class and predict student grades and roles using communication features.Our results show that students that communicate with others less overall are morelikely to work alone on future projects, while future group leaders are more likelyto have high rates of communication with other study groups. Interestingly, socialpatterns seem to be as important as learning performance and more importantthan demographic information in predicting a student's social role, and integralin predicting a student's grade.

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UR - http://www.scopus.com/inward/citedby.url?scp=85084094465&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85084094465

T2 - 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018

Y2 - 10 July 2018 through 13 July 2018

ER -

Patterns of interaction predict social role in online learning

Abstract

Conference

All Science Journal Classification (ASJC) codes

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