Browsing by Author "10100059 - Van der Merwe, Annette"
Now showing items 1-6 of 6
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A diet expert system utilizing linear programming models in a rule-based inference engine
Van der Merwe, Annette; Kruger, Hennie; Steyn, Tjaart (ORLab Analytics, 2014)Linear programming is commonly used for solving complex problems in various fields, such as dietetics. Expert systems use expertise and inference procedures to solve problems that require advanced expert knowledge and are ... -
An early alert feedback system in learning
Van der Merwe, Annette; Kruger, Hennie; Du Toit, Tiny (IADIS, 2017)The fields of teaching and learning are evolving as a result of new techniques like blended-, online-, and exploratory learning being implemented. Lecturers need to ensure successful teaching and also create an environment ... -
Mathematical modelling for academic performance status reports in learning analytics
Van der Merwe, A.; Kruger, H.A.; Du Toit, J.V. (Univ Stellenbosch, 2018)The fast changing nature of the educational environment and the subsequent increase in the volumes of generated learner data, have found existing data analysis techniques lacking in certain elds. These techniques form ... -
A mathematical ranking model in learning analytics
Van der Merwe, A.; Kruger, H.A.; Du Toit, J.V. (CMMSE, 2016)The introduction of new educationa l trends triggers the development of innovative methods to collect, analyse and report the data subsequently generated. This paper discusses the implementation of a ... -
A prescriptive specialized learning management system for academic feedback towards improved learning
Van der Merwe, Annette; Du Toit, Tiny; Kruger, Hennie (Science Publications, 2018)The dynamic nature of technological advances is causing changes in many fields and especially in tertiary education. Student numbers are increasing annually and institutions need to maintain education quality whilst ... -
Student ranking by means of non-linear mathematical optimization of participation marks
Van der Merwe, A.; Du Toit, J.V.; Kruger, H.A. (ORLab Analytics, 2016)Ranking 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 ...