Social navigation support in a course recommendation system

  • Authors:
  • Rosta Farzan;Peter Brusilovsky

  • Affiliations:
  • Intelligent Systems Program and University of Pittsburgh, Pittsburgh, PA;Intelligent Systems Program and University of Pittsburgh, Pittsburgh, PA

  • Venue:
  • AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
  • Year:
  • 2006

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Abstract

The volume of course-related information available to students is rapidly increasing. This abundance of information has created the need to help students find, organize, and use resources that match their individual goals, interests, and current knowledge. Our system, CourseAgent, presented in this paper, is an adaptive community-based hypermedia system, which provides social navigation course recommendations based on students’ assessment of course relevance to their career goals. CourseAgent obtains students’ explicit feedback as part of their natural interactivity with the system. This work presents our approach to eliciting explicit student feedback and then evaluates this approach.