PERSONALIZED ADAPTIVE SYSTEM FOR TERM ENROLLMENTS BASED ON CURRICULUM RECOMMENDATIONS AND STUDENT ACHIEVEMENT

摘要

During the process of term enrollment in Macedonian universities, the students submit an enrollment application for the next term with a selection of courses to be approved by the academic adviser. The course selection submitted by the students can have great impact on the achievement and can even indirectly influence the overall duration of the studies. With growing number of students and increasing complexities of curricula, the academic advisers are barely able to keep-up and offer relevant recommendations to the students. The system that is described in the paper, guides the students in their choice of courses and aims to replace most of the work of the academic adviser. The guidance is a coordinated effort of a course recommendation system and a web-based what-if component that forecasts the possible future term enrollments and course choices of the student, while at the same time allows the student to monitor her progress have a basis for comparison with the overall success of her peers. The what-if component enables the student to view various scenarios - change her study load, plans and programs, rearrange courses, in order to come up with a suitable plan leading to graduation. This paper also discusses the possibility of alignment of the personal curriculum recommendations to the general curriculum guidelines developed by organizations such as the ACM and IEEE; using elements from such recommendation to enable a study plan that is strongly correlated to the students skills and knowledge areas of interest.