Discovery of Patterns in Learner Actions

  • Authors:
  • Andreas Harrer;Michael Vetter;Stefan Thür;Jens Brauckmann

  • Affiliations:
  • Institut für Informatik und interaktive Systeme, Universität Duisburg-Essen;Institut für Informatik und interaktive Systeme, Universität Duisburg-Essen;Institut für Informatik und interaktive Systeme, Universität Duisburg-Essen;Institut für Informatik und interaktive Systeme, Universität Duisburg-Essen

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

This paper describes an approach for analysis of computer-supported learning processes utilizing logfiles of learners' actions. We provide help to researchers and teachers in finding insightful patterns of the learning process in two ways: patterns can be specified explicitly to be searched in logfiles or automatic extraction of patterns complying to configurable parameters can be initiated to find the most typical sequences within the logfile. Both support features have been implemented in a stand-alone tool that accepts generic logfiles usable with a potentially wide variety of different learning systems.