Determining the predictors for success in engineering studies

dc.contributor.authorMaraschin, Alessandra Chiara
dc.date.accessioned2021-01-26T06:22:57Z
dc.date.available2021-01-26T06:22:57Z
dc.date.issued2020
dc.descriptionA dissertation submitted to the Faculty of Engineering and the Built Environment, University of Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering.en_ZA
dc.description.abstractThere is a need to explore factors affecting student performance since the need for skilled engineering graduates is high. The problem is that the 4-year throughput rate in engineering in South Africa is 21%, and after 6 years a total of only 50% of students graduate. There is a lot of literature showing the quantitative side of this problem, but there is very little research performed using qualitative methods. The purpose of this research was to determine which factors could affect academic performance in engineering studies from the students’ perspective at a South African University. This was achieved by using Glen Fisher’s work as the framework. A mixed-methods approach was used, with the archive academic results and surveys yielding the quantitative results, and thematic analysis of focus groups yielding the qualitative results. The initial research population was 917 students, the survey included 411 respondents of which 353 participants chose to take part in focus groups. The final sample size for the focus groups was 35 participants. Thematic analysis showed that certain reasons for choosing the degree; the student’s support system; the adjustment to university; and living far from university were factors perceived by students as affecting their performance negatively. It was also observed that studying in groups; making use of the Academic Development Unit; and attending lectures were perceived by students as affecting their academic performance positively. Some factors that appeared in literature did not emerge through the focus groups as affecting the academic performance, namely second language English; and funding.en_ZA
dc.description.librarianPH2021en_ZA
dc.facultyFaculty of Engineering and the Built Environmenten_ZA
dc.format.extentOnline resource (122 leaves)
dc.identifier.citationMaraschin, Alessandra Chiara (2020) Determining the predictors for success in engineering studies, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/30385>
dc.identifier.urihttps://hdl.handle.net/10539/30385
dc.language.isoenen_ZA
dc.schoolSchool of Electrical and Information Engineeringen_ZA
dc.subject.lcshEngineering students-South Africa
dc.subject.lcshEngineering-Study and teaching
dc.titleDetermining the predictors for success in engineering studiesen_ZA
dc.typeThesisen_ZA

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