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Teaching-Learning by Means of a Fuzzy-Causal User Model

  • Alejandro Peña Ayala
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5845)

Abstract

In this research the teaching-learning phenomenon that occurs during an E-learning experience is tackled from a fuzzy-causal perspective. The approach is suitable for dealing with intangible objects of a domain, such as personality, that are stated as linguistic variables. In addition, the bias that teaching content exerts on the user’s mind is sketched through causal relationships. Moreover, by means of fuzzy-causal inference, the user’s apprenticeship is estimated prior to delivering a lecture. This supposition is taken into account to adapt the behavior of a Web-based education system (WBES). As a result of an experimental trial, volunteers that took options of lectures chosen by this user model (UM) achieved higher learning than participants who received lectures’ options that were randomly selected. Such empirical evidence contributes to encourage researchers of the added value that a UM offers to adapt a WBES.

Keywords

User Model Linguistic Variable Membership Degree Linguistic Term Rule Fire 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alejandro Peña Ayala
    • 1
    • 2
  1. 1.WOLNMIztapalapaMexico
  2. 2.ESIME-Z and CIC – Instituto Politécnico NacionalIztapalapaMexico

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