Resumen

PALOMINO-HAWASLY, Miguel Ángel; CULCHAC DE LA VEGA, Ali  y  RANGEL-VELLOJIN, Julio. DSLS: Diagnostic System of Learning Styles Oriented to Web Training Environments. Tecnología en Marcha [online]. 2017, vol.30, n.4, pp.80-92. ISSN 0379-3982.  http://dx.doi.org/10.18845/tm.v30i4.3413.

The learning process in human beings continues to be a subject of great importance not only from the field of education, but also from the cognitive sciences and computing, a good starting point is precisely what is addressed is this work And is the development Diagnostic System of a Learning Styles (DSLS) oriented to web training environments, which seeks to optimize the evaluation mechanisms to determine the predominant learning style of people in a virtual training environment. The methodological approach was based on the classical development of systems with some modifications proposed by the authors, incorporating fuzzy logic models. As for the results obtained, it is possible to show a functional prototype of the system based on a diffuse motor that allows to infer the predominant learning style of a particular user.

Palabras clave : Learning Styles; diagnostic system; web training environments; fuzzy logic.

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