An empirical study of user perceived usefulness and preference of open learner model visualisations

Check Yee Law, John Grundy, Rajesh Vasa, Andrew Cain

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

Abstract

Many higher education institutions have reformed their academic programmes to adopt unit learning outcomes. It is essential for effective learning management tools to support this fundamental transformation. We see the need for a tool that provides visualisations of Open Learner Models (OLM) and associated e-portfolio content to guide students in achieving intended learning outcomes, help evidence their learning and keep them engaged in their study. OLMs surface the relationship between learning activities and tasks, formative and summative assessment, and intended learning outcomes. We have developed and validated a set of candidate visualisations for such OLMs. We report key findings from our study in terms of potential users' feedback on our tool's support for tracking learning progress against learning outcomes. Our findings can inform and refine learning management systems.

Original languageEnglish
Title of host publication2016 IEEE Symposium on Visual Languages and Human-Centric Computing
EditorsAlan Blackwell, Beryl Plimmer, Gem Stapleton
Place of PublicationDanvers MA USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages49-53
Number of pages5
ISBN (Print)9781509002528
DOIs
Publication statusPublished - 8 Nov 2016
Externally publishedYes
EventIEEE Symposium on Visual Languages and Human-Centric Computing 2016 - Cambridge, United Kingdom
Duration: 4 Sept 20168 Sept 2016
https://sites.google.com/site/vlhcc2016/
https://ieeexplore.ieee.org/xpl/conhome/7602835/proceeding (Proceedings)

Conference

ConferenceIEEE Symposium on Visual Languages and Human-Centric Computing 2016
Abbreviated titleVL/HCC 2016
Country/TerritoryUnited Kingdom
CityCambridge
Period4/09/168/09/16
Internet address

Keywords

  • e-portfolio
  • education
  • information visualisation
  • mative assessment
  • open learner model

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