WITHDRAWN: Estimation and evaluation of Students’ behaviors in E- learning Environment using adaptive computing

Abstract

E-learning has become very popular and plays a positive impact on learning. Organizations have to consider many factors to make the learning process effective. The Virtual Learning Environment (VLE) provided by the Open University has several factors which affect the students’ performance. If these are identified correctly, better results can be obtained. Efficient machine learning models are built which predicts the final result. This paper applies many classification methods at first stage, and then apply Apriori algorithm in mining fuzzy association rules for a prediction system of learning. The system mines its rules through Open University, as there are about 170,000 students who are a part of several modules. The rules will be used to build a rule-based classifier to predict the final result incidence for the next course. This paper aims to compare the performance of e-learning using traditional classification and association rule methods before and after combination with fuzzy logic. The results showed that the use of fuzzy-Apriori algorithm provides a significant increase in accuracy compared to when not using any algorithm.