A PREFERENCE-BASED GRADE RECOMMENDER TOWARDS THE ATTAINMENT OF A TARGET GRADE POINT AVERAGE (GPA)
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Description
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.
Keywords
QA75 Electronic computers. Computer science