Redes bayesianas para predecir el estilo de aprendizaje de estudiantes en entornos virtuales
Introduction: It describes the use of Bayesian Networks to implement a model of uncertainty to predict the learning style of students through their interaction in a virtual learning environment based on the Felder-Silverman model. Method: The model uncertainty was designed and developed to be integr...
Main Authors: | Lissette Geoconda López-Faican, Luis Antonio Chamba-Eras |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidade Federal do Paraná
2015-03-01
|
Series: | AtoZ: Novas Práticas em Informação e Conhecimento |
Subjects: | |
Online Access: | http://ojs.c3sl.ufpr.br/ojs2/index.php/atoz/article/view/41343 |
Similar Items
-
Técnicas de aprendizado de máquina aplicadas à classificação de estudantes a partir de estilos de aprendizagem
by: Lucas Daniel Ferreira
Published: (2018) -
Técnicas de aprendizado de máquina aplicadas à classificação de estudantes a partir de estilos de aprendizagem
by: Ferreira, Lucas Daniel
Published: (2018) -
Assessing Adaptive Learning Styles in Computer Science Through a Virtual World
Published: (2017) -
Investigating Engineering Student Learning Style Trends by Using Multivariate Statistical Analysis
by: Abdelhakim Abdelhadi, et al.
Published: (2019-03-01) -
Construct Validity of Model Felder and Silverman learning Styles of Students University
by: El Sayed Mohamed Abu Hashem
Published: (2012-10-01)