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Automatic Labeling of Forums Using Bloom’s Taxonomy

  • Vanessa Echeverría
  • Juan Carlos Gomez
  • Marie-Francine Moens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8346)

Abstract

The labeling of discussion forums using the cognitive levels of Bloom’s taxonomy is a time-consuming and very expensive task due to the big amount of information that needs to be labeled and the need of an expert in the educational field for applying the taxonomy according to the messages of the forums. In this paper we present a framework in order to automatically label messages from discussion forums using the categories of Bloom’s taxonomy. Several models were created using three kind of machine learning approaches: linear, Rule-Based and combined classifiers. The models are evaluated using the accuracy, the F1-measure and the area under the ROC curve. Additionally, a statistical significance of the results is performed using a McNemar test in order to validate them. The results show that the combination of a linear classifier with a Rule-Based classifier yields very good and promising results for this difficult task.

Keywords

CSCL Bloom’s taxonomy logistic regression classifier Rule-Based classifier combined classifiers 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Vanessa Echeverría
    • 1
  • Juan Carlos Gomez
    • 2
  • Marie-Francine Moens
    • 2
  1. 1.Centro de Tecnologías de InformaciónEscuela Superior Politécnica del LitoralGuayaquilEcuador
  2. 2.Department of Computer ScienceKU LeuvenHeverleeBelgium

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