Performance and throughput rates at South African tertiary institutions are low, especially within the science, engineering and technology fields of study. The causes of this poor performance and throughput are difficult to predict, and incorrect assumptions are often made on which students are most likely to fail. The need to investigate this issue is vital in South Africa, where the contributing factors to poor performance and throughput are exacerbated by recent political and economic disparities in the diverse population. In order to better understand the issue within the built environment sector, this study evaluated the performance and throughput rates of fifteen first-year cohorts within the Department of Quantity Surveying at the Nelson Mandela Metropolitan University. The main aim of this study was to investigate the changes in the student population within the department, and to develop a framework for the future prediction of a student’s likelihood of success or failure. In order to achieve this objective, a retrospective longitudinal approach, i.e. a cohort study, was adopted. The study plotted the trends in performance and throughput rates over a period of time; it measured the strength of the relationships between several variables and performance and throughput; and it culminated in the establishment of predictors of performance and throughput rates. Ultimately, the prediction variables could be utilised in the development of influence diagrams as prediction frameworks. The research revealed that the performance and throughput rates of students in the department are improving. This highlights the importance of undertaking a narrow, departmental level analysis; as the findings in this smaller sphere do not match the general theory and assumptions covered in the literature.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:28382 |
| Date | January 2017 |
| Creators | Dent, Sharon Peta |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Engineering, the Built Environment and Information Technology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MSc |
| Format | xv, 216 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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