Facilitate decision making in higher educational institutions by linking course-taking pattern and student performance characterised by contextual knowledge

Abstract

Preliminary literature study and actual observation of student performance in HEIs showed that time to degree and GPA of students can be enhanced using the phenomenon of knowledge discovery pertaining to course-taking pattern from student dataset characterised by contextual knowledge. The main objective of this research was to investigate this phenomenon. Literature shows that knowledge about course-taking patterns is useful for decision making about enhancement of student performance in HEIs. Hence this research helps to discover course-taking pattern as well as its association to time to degree and GPA characterised by contextual knowledge using the modified process. Apriori algorithm was used and it was found that there is relationship between course-taking pattern and time to degree characterised by contextual knowledge.