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

Authors:
Alejandro Peña Ayala
Affiliations:
WOLNM, Iztapalapa, Mexico 09310 and ESIME-Z and CIC --- Instituto Politécnico Nacional, Iztapalapa, Mexico 09310
Venue:
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Year:
2009

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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.