Exploring Entrepreneurship Education: Trends and Student Enrollment at a University of Technology

Using educational data-mining (EDM) approaches, this study examines the evolution and efficacy of entrepreneurship education at Durban University of Technology (DUT) from 2010 to 2020. The student enrollment and performance data were analyzed using random forests (RFs) and support vector machines (SVMs). According to the findings, which are in line with DUT’s “Envision 2030” strategic plan, there has been noticeable growth in student enrollment and the addition of new entrepreneurship modules since 2017. According to the study, the RF fared better in terms of predictive accuracy than the SVM did, indicating the value of EDM approaches in predicting trends in education. The findings validate DUT’s strategic objectives and indicate areas for further investigation that might include more variables and examine the effects of outside influences.