Progressor: Social navigation support through open social student modeling

I. Han Hsiao, Fedor Bakalov, Peter Brusilovsky, Birgitta König-Ries

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students.

Original languageEnglish (US)
Pages (from-to)112-131
Number of pages20
JournalNew Review of Hypermedia and Multimedia
Issue number2
StatePublished - Jun 1 2013
Externally publishedYes


  • Open student model
  • Personalized e-learning
  • Personalized information access
  • Self-assessment
  • Social learning
  • Social navigation support
  • Visualization

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications


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