A Smart Academic Advisor Model for Undergraduate Students

Abstract

The undergraduate enrollment rate is rapidly increasing. Many students want advice on their journey to graduation. The students are unfamiliar with the major sheets and academic timetable of the university where they have enrolled. Thus, a model that handles the advising process for students who are unclear about how to choose their courses must be designed. This study provides a model for an academic adviser who may help students navigate their university experience. The model recommends a list of courses to the student depending on his current study level and categorizes the major sheet's courses by difficulty, which varies from easy to challenging based on previous exam results. Lastly, with so many students, the suggested model can assist in automating the advising process without requiring a lot of work.