The aim of the study was to investigate ways in which student dropout rates could be managed at a Technical Vocational Education and Training College (TVET) in KwaZulu-Natal, Amajuba District. Twenty-eight participants were purposively selected from two campuses in the area representing the Business and Engineering studies. This was done using the non-probability purposive sampling. The researcher focused on determining ways to assist in improving the management of student dropout rates in the above TVET College so as to increase the throughput and the certification rates. The study employed a qualitative design with semi-structured interviews that were conducted with senior managers from the central office, Heads of Departments, lecturers and students who had previously dropped out from the college so as to examine their views and perceptions on the effects of student dropout rates and how the management of student dropout rates could be improved.
Data were analysed thematically whereby information was categorised into themes that emerged from the responses of the participants. The findings revealed that causes of student dropout emanate from the financial challenges experienced by students in this area since most of them are from disadvantaged backgrounds, institutional factors such as poor or lack of career guidance, the curriculum, poor enrolment procedure and poor student support services. The study recommends that well organised and effective career guidance should be conducted, the curriculum should be reviewed, and the selection and enrolment procedures should be transparent and understood by everyone. Recommendations for further study are also provided. / Educational Leadership and Management / M. Ed. (Education Management)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/23837 |
| Date | 07 May 2018 |
| Creators | Mdluli, Koko Jumaima |
| Contributors | Zengele, Vincent Thulani |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (xii, 116 leaves) : 1 color illustration |
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