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Individual and peer comparison open learner model visualisations to identify what to work on next

Bull, Susan and Brusilovsky, Peter and Guerra, Julio and Araujo, Rafael (2016) Individual and peer comparison open learner model visualisations to identify what to work on next. In: 24th ACM Conference on User Modeling, Adaptation and Personalisation, 13-17 Jul 2016, Halifax, Canada.

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Abstract

Open learner models (OLM) can support self-regulated learning, collaborative interaction, and navigation in adaptive educational systems. Previous research has found that learners have a range of preferences for learner model visualisation. However, research has focused mainly on visualisations that are available in a single system, meaning that not all visualisations have been compared to each other. We present a study using screen shots of OLM visualisations for individuals and for comparing one’s
own learner model to the models of other individuals or the group, to define visualisations that students would be able to use to identify their next steps, across a wider range of options.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Bull, Susan
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Guerra, Juliojdg60@pitt.eduJDG600000-0002-8296-9848
Araujo, Rafael
Date: July 2016
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Series Name: CEUR Workshop Proceedings
Journal or Publication Title: Extended Proceedings of 24th ACM Conference on User Modeling, Adaptation and Personalisation
Volume: 1618
Publisher: CEUR
Event Title: 24th ACM Conference on User Modeling, Adaptation and Personalisation
Event Dates: 13-17 Jul 2016
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1613-073
Official URL: http://ceur-ws.org/Vol-1618/LBR4.pdf
Date Deposited: 09 Aug 2017 15:48
Last Modified: 09 Aug 2017 15:48
URI: http://d-scholarship.pitt.edu/id/eprint/27296

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