z-logo
open-access-imgOpen Access
Analysing 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 -
iarjset
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

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
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom