2 research outputs found
Some pattern recognitions for a recommendation framework for higher education studentsâ generic competence development using machine learning
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education studentsâ particulars such as their academic background, current study and student activity records, their attended higher education institutionâs expectations of graduate attributes and self-assessment of their own generic competencies. The gap between the higher education studentsâ generic competence development and their current statuses such as their academic performance and their student activity involvement was incorporated into the framework to come up with a recommendation for the student activities that lead to their generic competence development. For the formulation of the recommendation framework, the data mining tool Orange with some programming in Python and machine learning models was applied on 14,556 studentsâ activity and academic records in the case higher education institution to find out three major types of patterns between the studentsâ participation of the student activities and (1) their academic performance change, (2) their programmes of studies, and (3) their English results in the public examination. These findings are also discussed in this paperPeer Reviewe