A PREFERENCE-BASED GRADE RECOMMENDER TOWARDS THE ATTAINMENT OF A TARGET GRADE POINT AVERAGE (GPA)

摘要

A number of GPA calculators exist to automate the calculations of GPA, and it is used by college students to anticipate the amount of study required to accomplish a desired academic target. However, many of these apps do not sufficiently satisfy the user experience realities of the academic aspect of college life because they require excessive user inputs; grades combination that approximates their target GPA is known through a painstaking series of trials; they do not consider user?s subject preference in recommending grades. A model of a grade recommender towards the attainment of a target GPA based on a self-efficacy reports and mathematical optimization is proposed. A prototype was developed as a proof of concept and its viability was demonstrated using three illustrative scenarios. The algorithm assigns lower grades to courses with low subject preference, and upper grades are allotted to courses with higher self-efficacy evaluation towards the attainment of a target GPA. An integration of the full implementation of the proposed model into a student information system will serve as a very useful resource to help college student achieve their academic goals.