Title :
How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem
Author :
Kosheleva, Olga ; Kreinovich, Vladik
Author_Institution :
Dept. of Teacher Educ., Univ. of Texas at El Paso, El Paso, TX, USA
Abstract :
To enhance learning, it is desirable to also let students learn from each other, e.g., by working in groups. It is known that such groupwork can improve learning, but the effect strongly depends on how we divide students into groups. In this paper, based on a first approximation model of student interaction, we describe how to optimally divide students into groups so as to optimize the resulting learning. We hope that, by taking into account other aspects of student interaction, it will be possible to transform our solution into truly optimal practical recommendations.
Keywords :
approximation theory; education; optimisation; first approximation model; groupwork; learning enhancement; pedagogy-related optimization problem; student interaction; student learning optimization; Approximation methods; Educational institutions; Materials; Optimization; Sorting; Uncertainty; groupwork; optimization; uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6378023