[CEUR Workshop Proceedings] Vol-305

© 2007 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners.

International Workshop on Applying Data Mining in e-Learning

International Workshop on Applying Data Mining in e-Learning

Sissi, Lassithi - Crete Greece, 18 September, 2007.

Edited by

Cristobal Romero*, Mykola Pechenizkiy**, Toon Calders**, Silvia R. Viola***, and Frans Van Assche****

* Cordoba University, Spain
** Eindhoven University of Technology, the Netherlands
*** U. Politecnica delle Marche and U. for Foreigners, Italy
**** European Schoolnet

Table of Contents

  1. Revisiting interestingness of strong symmetric association rules in educational data
    A. Merceron, K. Yacef
  2. Drawbacks and solutions of applying association rule mining in learning management systems
    E. García, C. Romero, S. Ventura, T. Calders
  3. Towards educational data mining: Using data mining methods for automated chat analysis to understand and support inquiry learning processes
    A. Anjewierden, B. Kollöffel, C. Hulshof
  4. Discovering Student Preferences in E-Learning
    C. Carmona, G. Castillo, E. Millán
  5. Using Web Mining for Understanding the Behavior of the Online Learner
    R. Nachimas, A. Hershkovitz
  6. A Problem-Oriented Method for Supporting AEH Authors through Data Mining
    J. Bravo, C. Vialardi, A. Ortigosa
  7. E-Learning Process Characterization using data driven approaches
    S.R. Viola

submitted by Frans Van Assche, 6-Jan-2008
published on CEUR-WS.org, 7-Jan-2008
changed on 3-Feb-2008 by Frans Van Assche (corrected name of editor)