Open AccessAnalysing Students' Learning Style to Predict the Most Important Factors that Affects the Performance of e-Learning Platform for Iraqi Postgraduate Studies using MLP-ANN Algorithm and Electronic Questionnaire
Author(s) -
Nazhat Saed Abdul Razak,
Maryam Abdul-Salam Ali
Publication year - 2019
Publication title -
international advanced research journal in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2394-1588
pISSN - 2393-8021
DOI - 10.17148/iarjset.2019.6514
Subject(s) - style (visual arts) , computer science , machine learning , artificial intelligence , mathematics education , e learning , learning styles , algorithm , psychology , educational technology , geography , archaeology