Development of case-based recommendation system for course selection in a university context

Nowadays, recommendation systems that guide people for their choices are one of the most widely used software technologies. Especially in the field of education, this technology can be used to make course selection more efficient for students. In this thesis, a recommendation system for the course selection of the students was developed and the accuracy of the recommendations were tested. In the system developed within the scope of this study, Case-Based Reasoning (CBR) method was applied by using the real data of the previous students. While preparing the proposals, the data of students who take similar courses in their curriculum are used. The CBR method presented the suggestions of the courses to be taken by the students and the success rate of the system was calculated by comparing the appropriateness of the relevant suggestions with the lessons actually taken. According to the results of this study, the success rate of the suggestion system is 69%.