EFFECTIVE MEASURES FOR KNOWLEDGE ACCUMULATION IN TEACHING DIFFICULT MATHS SUBJECTS IN THE HEALTH SCIENCES
Sefako Makgatho Health Sciences University (SOUTH AFRICA)
About this paper:
Conference name: 12th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2019
Location: Seville, Spain
Abstract:In years 2014 and 2015, measures of progress and effectiveness were established to determine levels of business process optimization (BPO) using models and specific measures (Miyambu & Seeletse, 2015; 2016). The measures were seen as extendable to other fields. The first author also participated in studies that showed that learning can be effective when assessment of students is done within short spaces between different levels. Other works related to education and measurement were presented in conferences as well. The experiences learnt, as well as the sharing of the work in conferences and networks enabled the realisation of the possibility to monitor the progress in teaching of science (natural and mathematical) subjects that are offered to the health sciences students. Though these networks, these research was motivated and stimulated as the authors were encouraged by the audiences who attended the parallel sessions in those conferences to grow these methods by blending them. This paper was encouraged by these calls. This study aims to integrate optimisation methods and the measures created in the BPO studies to establish a framework for effective measures in the teaching of Statistics to the health sciences.
Keywords: Optimization Effectiveness Measurement Networks Monitor Framework.