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dc.contributor.authorVan der Merwe, A.
dc.contributor.authorDu Toit, J.V.
dc.contributor.authorKruger, H.A.
dc.date.accessioned2016-07-19T09:20:47Z
dc.date.available2016-07-19T09:20:47Z
dc.date.issued2016
dc.identifier.citationVan der Merwe, A. et al. 2016. Student ranking by means of non-linear mathematical optimization of participation marks. Proceedings ICAOR 2016, Rotterdam. Lecture notes in management science, 8:113-119. [http://www.orlabanalytics.ca/lnms/archive/v8/lnmsv8p113.pdf]en_US
dc.identifier.issn2008-0050
dc.identifier.issn1927-0097 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/17996
dc.identifier.urihttp://www.orlabanalytics.ca/lnms/archive/v8/lnmsv8p113.pdf
dc.description.abstractRanking students according to their growing participation marks could encourage them to develop self-motivational attitudes toward their academic progress. This paper describes the ranking of students by means of a non-linear mathematical optimization model. The model uses optimization techniques to find the best weights for calculating students’ participation marks, effectively eliminating manual evaluation of all possible equations. The optimal weights are used to calculate the average participation marks and the students are ranked accordinglyen_US
dc.language.isoenen_US
dc.publisherORLab Analyticsen_US
dc.subjectAcademic motivationen_US
dc.subjectnon-linear mathematical modelingen_US
dc.subjectrankingen_US
dc.subjectstudent participationen_US
dc.titleStudent ranking by means of non-linear mathematical optimization of participation marksen_US
dc.typePresentationen_US
dc.contributor.researchID10789901 - Du Toit, Jan Valentine
dc.contributor.researchID10100059 - Van der Merwe, Annette
dc.contributor.researchID12066621 - Kruger, Hendrik Abraham


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