Geospatial Visual Analytics for Learning at Scale

COIL is proud to support the Geospatial Visual Analytics for Learning at Scale project through our Research Initiation Grant Program.

Abstract:

This project will create and test a new computational approach for uncovering the spatial patterns associated with learner interactions captured in the form of survey, interaction, and assessment data from MOOCs. We will advance knowledge about MOOC learners and positively augment the design of quality courses at scale by developing a geospatial visual analytics method to reveal spatial clusters in learner engagement data, building on progress made during the past year to develop a prototype tool called MapSieve. Our proposed research extends MapSieve to integrate a novel approach for spatial analysis and pattern discovery, and to evaluate the resulting toolkit with education researchers to refine and assess its usability and utility. Our approach will help educators and learning designers answer a key research question: Where does Geography play a significant role in explaining and understanding learner engagement in MOOCs? Understanding the role of place in learner engagement can help educators develop high quality courses and global learning experiences at scale that honor and account for those differences.

Team:

  • Anthony C. Robinson,
    Director of Online Geospatial Education, John A. Dutton e-Education Institute
    Assistant Professor, Department of Geography
    College of Earth and Mineral Sciences, University Park
  • Sterling Quinn
    PhD Candidate, Department of Geography
    College of Earth and Mineral Sciences, University Park

Contact:

Anthony RobinsonAnthony C. Robinson
arobinson@psu.edu
302 Walker Building
Director for Online Geospatial Education, John A. Dutton e-Education Institute
Assistant Professor, Department of Geography
University Park, PA 16801
814-574-0030

 


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