Comparative social visualization for personalized e-learning

  • Authors:
  • I-Han Hsiao;Julio Guerra;Denis Parra;Fedor Bakalov;Birgitta König-ries;Peter Brusilovsky

  • Affiliations:
  • University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Jena, Jena, Germany;University of Jena, Jena, Germany;University of Pittsburgh, Pittsburgh, PA

  • Venue:
  • Proceedings of the International Working Conference on Advanced Visual Interfaces
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Social learning has confirmed its value in enhancing the learning outcomes across a wide spectrum. To support social learning, a visual approach is a common technique to represent and organize multiple students' data in an informative way. This paper presents a design of comparative social visualization for E-learning, which encourages information discovery and social comparisons. Classroom studies confirmed the motivational impact of personalized social guidance provided by the visualization in the target context. The visualization encouraged students to do some work ahead of the course schedule. Moreover, class leaders provided an implicit social guidance for the rest of the class and successfully led the way to discover the most relevant resources creating good trails for the rest of the class. We summarized the evidence of students' engagement and performance through the social visualization interface.