A Digital Dashboard for Supporting Online Student Teamwork
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Author/Creator ORCID
Date
2019-11
Type of Work
Department
Program
Citation of Original Publication
Ahuja, Rohan; Khan, Daniyal; Symonette, Danilo; desJardins, Marie; Stacey, Simon; Engel, Don; A Digital Dashboard for Supporting Online Student Teamwork; CSCW '19: Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing November 2019; https://dl.acm.org/doi/10.1145/3311957.3359490
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Subjects
applied computing
education
collaborative learning
human-centered computing
collaborative and social computing
collaborative and social computing theory, concepts and paradigms
computer supported cooperative work
Human Computer Interaction (HCI)
interaction paradigms
collaborative interaction
graphical user interfaces
web-based interaction
visualization
visualization application domains
information visualization
visual analytics
education
collaborative learning
human-centered computing
collaborative and social computing
collaborative and social computing theory, concepts and paradigms
computer supported cooperative work
Human Computer Interaction (HCI)
interaction paradigms
collaborative interaction
graphical user interfaces
web-based interaction
visualization
visualization application domains
information visualization
visual analytics
Abstract
Teamwork skills are crucial to college students, both at university and afterwards. However, few tools exist to monitor student teamwork and to help students develop teamwork skills. We present a tool which collects the interactions of students who are using online platforms to complete a sustained task as a team; conducts a range of analyses of these data; and then presents information about team and team member behaviors in real time on a digital dashboard. This dashboard provides instructors with a user-friendly picture of team and team-member dynamics, which can also be made available, as appropriate, to both teams and team members. While some behaviors have been shown to be (or are self-evidently) beneficial or harmful to team performance, these data and analyses also make possible exploration of whether less obvious behaviors affect team outcomes and performance.