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A Graph-Based Monitoring Tool for Adaptive Hypermedia Course Systems

  • Manuel Freire
  • Pilar Rodríguez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

Adaptive hypermedia courses are difficult to debug, validate and maintain. Logfile analysis is partly to blame. We propose a graph-based approach to both real-time student monitoring and logfile analysis. Students are represented at their current locations in a dynamically created map of the course. Selected parts of student user models are visually exposed, and more detail is available on demand. Hierarchically clustered graphs, automatic layout and focus+context techniques are used to keep visual complexity at a manageable level. This component has been developed for an existing AH course system. However we believe that our approach can be readily extended to a wide selection of adaptive hypermedia course systems, filling in an important gap during course creation and maintenance.

Keywords

User Model Visual Complexity Event Stream Adaptation Engine Context Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Manuel Freire
    • 1
  • Pilar Rodríguez
    • 1
  1. 1.EPS-Universidad Autónoma de MadridMadridSpain

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