Model Development based on Demographic and Psychographic factor to improve performance in case of TVET using Machine Learning

Abstract

TVET is important for the growth of human resources and, consequently, for the advancement and prosperity of a community. In this thesis, the factors that significantly affect TVET students' academic achievement and performance were modeled. The academic performance of TVET students has been found to be significantly influenced by a number of factors, including gender, age, monthly family income, study hours, stimulant use during the course of the study, and satisfaction with the area of study placement. According to this study, lower academic accomplishment was associated with a variety of factors, including having a negative opinion of TVET, being female, having a low family income, studying for a shorter amount of time, using stimulants while studying, and not being content with one's field of study.