Analysis of Students’ Behavior Through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural Networks

Analysis of Students’ Behavior Through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural Networks

An accurate analysis of user behaviour in online learning environments is a useful means of early follow up of students, so that they can be better supported to improve their performance and achieve the expected competences. However, that task becomes challenging due to the massive data that learnin...

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Bibliographic Details
Main Authors: Soledad Delgado, Federico Moran, Jose Carlos San Jose, Daniel Burgos
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
data science applications in education
distance education and online learning
pattern analysis
self-organizing map (SOM)
student behaviour
Online Access:https://ieeexplore.ieee.org/document/9546766/

Internet

https://ieeexplore.ieee.org/document/9546766/

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