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Adaptive Content in an Online Lecture System

  • Mia K. Stern
  • Beverly Park Woolf
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1892)

Abstract

This paper discusses techniques for adapting the content in an online lecture system for a specific user. A two pass method is used: 1) determine the appropriate level of difficulty for the student and 2) consider the student’s learning style preferences. A simple grading scheme is used to determine the student’s knowledge and a Naïve Bayes Classifier is used to reason about the student’s preferences in terms of explanations, examples, and graphics. A technique for gathering and using population data is also discussed.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Mia K. Stern
    • 1
  • Beverly Park Woolf
    • 1
  1. 1.Center for Knowledge Communication Department of Computer ScienceUniversity of MassachusettsAmherstUSA

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