z-logo
open-access-imgOpen Access
Cognitive Learning Style Detection in e-Learning Environments using Artificial Neural Network
Author(s) -
Samia Rami,
Samir Bennani,
Mohammed Khalidi Idrissi
Publication year - 2022
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v17i17.30243
Subject(s) - computer science , context (archaeology) , relevance (law) , artificial neural network , artificial intelligence , online learning , cognition , covid-19 , process (computing) , machine learning , style (visual arts) , cognitive style , learning styles , deep learning , multimedia , psychology , mathematics education , medicine , paleontology , disease , pathology , neuroscience , political science , infectious disease (medical specialty) , law , biology , operating system , history , archaeology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here