Employing Bayes Classifier for Improving Learner's Proficiency

Abstract

Improving learner's proficiency is a continuous issue in e-Learning systems. This paper presents a solution for advising the learner regarding the resources he should access and study in order to obtain a required proficiency level. The solution uses a Naive Bayes as classification algorithm with input data represented by learner's performed activities. The performed activities are logged and used as training and testing data. The obtained classifier is used for new students and provides them with necessary information regarding what resources need to access and study.