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

Nontokozo Ngcobo (), Ndivhuho Tshikovhi and Sibusiso Moyo
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Nontokozo Ngcobo: Innobiz DUT Centre for Entrepreneurship and Innovation, Durban University of Technology, Durban 4001, South Africa
Ndivhuho Tshikovhi: Faculty of Management Sciences, Durban University of Technology, Durban 4001, South Africa
Sibusiso Moyo: Division for Research Development, Stellenbosch University, Matieland 7602, South Africa

Administrative Sciences, 2025, vol. 15, issue 2, 1-14

Abstract: 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.

Keywords: entrepreneurship education; educational data mining; Durban University of Technology; small, medium, and micro-enterprises (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2025
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