Using decision tree-based optimization algorithm to design an intelligent e-learning platform evaluation method for Iraqi ministry of higher education (MoHE)

Dr. Nazhat S. Abdulrazak; Maryam Abdul-Salam Ali

Volume : VIII, Issue : VI, June - 2019

Using decision tree-based optimization algorithm to design an intelligent e-learning platform evaluation method for Iraqi ministry of higher education (MoHE)

Dr. Nazhat S. Abdulrazak, Maryam Abdul Salam Ali

Abstract :

E-learning has a great influence in the modern universities, especially in higher education institution. Today there are a number of local and international e-learning platforms available on-line to provide scientific content, quizzes, and exams, most of them are not concerning student‘s behavior in these platforms or the goodness of the system performance, therefor an optimization algorithm have been proposed to create an intelligent e-learning platform to upgrade the available ones, to shed the lights on each student‘s behavior, and to automatically evaluate the performance of the proposed LMS learning environment, in order to create an optimal education platform for Iraqi post graduate studies, a decision tree classification algorithm have been used along with particle swarm optimization algorithm (PSO) in order to create a hyid algorithm to enhance the decision tree especially (C4.5). A customized dataset consist of (demographic data, student‘s score, and student‘s behavior) used to train the classifier, and then other classification algorithms have been used to make a comparison with the proposed algorithm. Our proposed algorithm shows promising results among other classification techniques.