Identifying Top Perfomers in the Electrician Training Programme at FSASEC - VUT using Regression Analysis: Who are the stars
Journal Title: International Journal of Modern Research In Engineering & Management. - Year 2018, Vol 1, Issue 4
Abstract
The Vaal University of Technology (VUT) has, in its faculty of Engineering and Technology a flagship community engagement project referred to as the French South African Schneider Electric Education Center (FSASEC) where young underprivileged students are recruited and trained to become occupational electricians. There is a significant skills gap in South Africa for artisans in the field of Electrical Engineering and this gap can be closed if state of the art training facilities exits where the students are prepared for landing in the workplace useful and productive. It is of primary value to be able to identify students that perform well in order to maximize the efficiency of the training program in Electrical Engineering. This paper presents some tools that can be used in identifying potentially excellent performers, at risk and underperforming students. This process ranges from when the student is admitted to the time he exits the programmed.
Authors and Affiliations
Langa Hendrick Musawenkosi
Keywords
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- EP ID EP408389
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