Evaluating geovisualization for spatial learning analytics

Contemporary systems for supporting digital learning are capable of collecting a wide range of data on learner behaviours. The emerging science and technology of learning analytics seeks to use this information to improve learning outcomes and support institutional assessment. In this work we explore the potential for the spatial dimension in learning analytics, and we evaluate a prototype geovisualization system designed to support what we call spatial learning analytics. A user evaluation with geographers and educators was conducted to characterize the usability and utility of our prototype spatial learning analytics system. By helping us understand what our prototype system does and does not do well, we are able to suggest a variety of new ways in which future spatial learning analytics systems can be developed.

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Work Title Evaluating geovisualization for spatial learning analytics
Access
Open Access
Creators
  1. Anthony C Robinson
  2. Cary Anderson
  3. Sterling Quinn
Keyword
  1. geovisualization
  2. learning analytics
  3. user evaluation
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Taylor & Francis
Publication Date May 14, 2020
Publisher Identifier (DOI)
  1. 10.1080/23729333.2020.1735034
Deposited February 25, 2021

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Version 1
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  • Created
  • Updated Keyword, Publisher, Publisher Identifier (DOI) Show Changes
    Keyword
    • geovisualization, learning analytics
    • geovisualization, learning analytics, user evaluation
    Publisher
    • Taylor & Francis
    Publisher Identifier (DOI)
    • 10.1080/23729333.2020.1735034
  • Added Creator Anthony C Robinson
  • Added Creator Cary Anderson
  • Added Creator Sterling Quinn
  • Added Evaluatinggeovisualizationforspatiallearninganalytics.pdf
  • Updated License Show Changes
    License
    • https://rightsstatements.org/page/InC/1.0/
  • Published
  • Updated
  • Updated