Assemblage of Recommendations with Constraints: A Choice Based Credit System Perspective

Abstract

In case of currently evolving choice based credit education system, a student can choose different combination of subjects for completion of the degree. As a consequence, it becomes difficult for the student to identify the correct combination of subjects. Students always look for a knowledge tool which recommends them a package of subjects to be taken. In our research we have proposed a course recommendation tool which strives for satisfying the requirements of the student in the boundary of constraints placed by the university. We have developed ontology for modeling of requirements of students and constraints of the university. We have developed a prototype which communicates with the students to know their area of interest, financial capacity, last degree obtained and past performance to recommend a degree course. It also recommends cross disciplinary subjects based on area of interest, under the constraints of university. Experiments prove the correctness of recommendations.