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Evaluating Web Based Instructional Models Using Association Rule Mining

  • Enrique García
  • Cristóbal Romero
  • Sebastián Ventura
  • Carlos de Castro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5535)

Abstract

In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive technologies and collaborative tools. An authoring tool has also been developed for helping to non-programming users to create Learning Management Systems (LMSs) courses that implement a specific instructional model. Data mining techniques are proposed to evaluate the e-learning courses generated from the model. We have tested the degree of effectiveness of our system using Moodle courses. The courses topics tested are based on the European Computer Driving Licence Foundation catalogue.

Keywords

instructional design learning management systems authoring tools and methods data mining association rules 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Enrique García
    • 1
  • Cristóbal Romero
    • 1
  • Sebastián Ventura
    • 1
  • Carlos de Castro
    • 1
  1. 1.Escuela Politécnica SuperiorUniversidad de CórdobaCórdobaSpain

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