ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

On the Use of Simulators for Teaching Statistical Methods

13 September 2016, 10:30 – 10:50

Abstract

Submitted by
Marco P. Seabra dos Reis
Authors
Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra), Ron S. Kenett (KPA Group)
Abstract
Teaching and training activities benefit from the establishment of links between the concepts under analysis and the reality of people’s daily experiences and working backgrounds. These links foster students’/trainees’ engagement and provides an efficient root to the contextualized acquisition of skills and competences. The engagement is even higher when trainees are called to play an active role in the learning process. The benefits of active learning are well established and constitute a cornerstone of many successful training programs. This talk addresses a structured overview of simulation platforms for teaching statistical concepts. We propose a hierarchical classification scheme for process simulators based on their inherent complexity, and describe training situations where each class offers valuable solutions.
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