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Reconfiguration of the learning style in the computer learning platform based on cloud paradigm

Abstract:

In this paper is presented an adaptive module of the learning style of the students of the Computational Platform for the Educational Model based on the Cloud Paradigm, proposed in previous work. This adaptive module redefines the learning style that has the student, in order to improve his academic performance in the platform. The learning style of the students is very important in this platform, because it defines the profile of the educational resources to be proposed to the students. The learning style defines the activities, tools and evaluations that must have the educational resources, to carry out the learning process more successful. The adaptive module carries out the automatic reconfiguration of the learning style assigned to a student, once evaluated its performance in the different courses that the student has taken so far. To assign a new style of learning, the module takes into account the academic performance of the student. If this is low, it calculates and assigns a new style. The initial learning style of the students is defined using the Felder-Silverman test. Then, this module is invoked interactively each time is finished a scholar period.