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dc.contributor.author Ncanywa, T.
dc.contributor.author Sibiya, Z. C.
dc.date.accessioned 2020-12-18T08:41:58Z
dc.date.available 2020-12-18T08:41:58Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/10386/3228
dc.description Journal article published in The 5th Annual International Conference on Public Administration and Development Alternatives 07 - 09 October 2020, Virtual Conference en_US
dc.description.abstract The study investigated what determines learner performance through an education production function using regression methodologies. The case study of Bankfontein combined school in Mpumalanga province used data obtained from SA-SAMS. The education production function in this investigation included variables such as learner performance, age, gender, days absent and socio-economic status. The study yielded results which showed that age, absenteeism and socio-economic status can strongly determine learner performance. For instance, absenteeism and socio-economic status could negatively affect learner performance. Moreover, as measured by examination scores the poor community of Bankfontein yielded poor educational outcomes. It was recommended that the school with diverse learners should be managed strategically, by providing or directing learners for necessary surviving skills such as entrepreneurship and artisans to name a few. As village schools have several socio-economic challenges ranging from many child-headed households, parents lacking adequate parenting skills especially to education matters, staying with old illiterate grandparents and others, schools should devise means to consider that in the day-to-day activities. Keywords: Quantile regression, Learner performance, SA-SAMS, Production function, Ordinary Least Squares en_US
dc.format.extent 11 pages en_US
dc.language.iso en en_US
dc.publisher International Conference on Public Administration and Development Alternatives (IPADA) en_US
dc.relation.requires PDF en_US
dc.subject Quantile regression en_US
dc.subject Learner performance en_US
dc.subject SA-SAMS, Production function, en_US
dc.subject Ordinary Least Squares en_US
dc.subject Production function, en_US
dc.subject.lcsh Quantile regression en_US
dc.subject.lcsh Academic achievement en_US
dc.title A case study of what determines learner performance in a combined school in Mpumalanga Province en_US
dc.type Article en_US


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