Discovering the factors affecting the performance of e-learning platform for Iraqi postgraduate studies using MLP-ANN Algorithm

Nazhat Saed Abdulrazak; Maryam Abdul-Salam Ali

Volume : VIII, Issue : VI, June - 2019

Discovering the factors affecting the performance of e-learning platform for Iraqi postgraduate studies using MLP-ANN Algorithm

Nazhat Saed Abdulrazak, Maryam Abdul Salam Ali

Abstract :

There is no doubt that higher education is a key aspect in the development of educational reality in Iraq, and the focus of Iraqi universities and higher education institutions now directed towards developing their scientific level to improve learning environments for their students. Through modern information technology, we have the potential to create intelligent electronic learning platforms that have many benefits in developing students‘ scientific level. Data mining technique is used for this purpose. Educational data mining (EDM) is now applied to extract hidden knowledge through a raw data repository from an online learning environment such as a student‘s demographic data. For instance, age, country, university, previous occupation, etc. And also by analyzing the behavior of students within the e-learning platform and their achievement and grades in the various proposed courses, to assess the impact of these factors on the performance of the e-learning platform in general to determine the effectiveness of the delivery of information to the students. In this research, we will use multilayer perceptron (MLP) algorithm to evaluate the proposed e-learning platform performance for post-graduate studies to predict the most influencing factors in evaluating e-learning platform determine the accuracy of the proposed algorithm, as well as to detect the most influenced factors that affect the results obtained from the proposed algorithm.