E-learning Argumentative in Iraq's Public Universities

Abstract

The Corona virus imposed an important reality in the world, which is the e-learning system, as it was adopted in most universities in the world, accompanied by great controversy in countries that do not have experience in dealing with e-learning.In response to the emerging and permanent solution to the outbreak of the Corona virus in the world and the importance of the continuation of educational institutions, e-learning and blended learning methods have been used. But in Iraq, the main reason for the problems faced by e-learning is that Iraq was not prepared for such an educational system and because of the lack of development of the ICT infrastructure. This research deals with the method and ease of implementing the e-learning system in Iraqi universities. This study proposes a theoretical and practical framework based on the literature and the specific model for the success of educational institutions in using the e-learning portal. Samples of data similar to Iraqi university and school students, namely 1,205 cases of data on university and school students at different educational levels, were collected and converted into digital data.Machine learning was used to predict future e-learning outcomes in Iraq through the neural network algorithm (MLP) and the Naive Bayes Classifier algorithm,And the Support Vector Machine algorithm (SVM). Using the Weka program, the best accuracy results were obtained through the MLP algorithm with an accuracy of 96% and were compared with the results of other algorithms. Finally, this study reveals the importance of adopting technology in the educational system and the lack of skills associated with employees, lecturers, and students. In the future, the volume of data can be increased on students in Iraqi universities who used blended learning or e-learning and the tools that helped them succeed.