NDLI: Modelo de Sistema e-learning adaptativo para el nivel superior, utilizando aprendizaje colaborativo basado en proyectos, considerando estilos de aprendizaje y estilos de pensamiento

Content Provider	Semantic Scholar
Author	Chávez, Rivera Patricia, Claudia
Copyright Year	2018
Abstract	Individual Learning Style identification is an essential aspect in the development of intelligent or adaptive e-Learning platforms. Traditional methods are based on the application of questionnaires or psychological tests, which may not be the most appropriate in all cases. The proposed model is based on the analysis of user behavior through the study of their interactions within an eLearning platform, using a multilayer Backpropagation Neural Network and Fuzzy Logic concepts, for the preprocessing of the inputs and the categorization of the outputs.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://repositorio.unsa.edu.pe/bitstream/handle/UNSA/6817/IIDrichcp.pdf?isAllowed=y&sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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