Implementation of Course Recommendation System based on Students’ Course Selection Records

Abstract

A course recommendation system is used to provide students some suggestions when choosing courses for online. Within courses, the most appropriate courses then are able to find out for making suggestions to students. It is worth to note that this system is not only can use in university or college, but also available for any level of education. This paper presents the recommendation system based on the Classification and Prediction Methodology. Naïve Bayesian Classification and the prediction methodology integrate to recommend the student course selection. The itemsets for generating course items are classified based on the Courses taken by the students. It exploits a Naïve Bayesian Classification and prediction methodology of course recommendations for students. The implementation of this system implies the Bayesian classifier and generates courses from the classified output. This system will be implemented by using ASP.NET, SQLServer 2005.