Simulation-based mathematical learning for higher education students from heterogeneous backgrounds
Neila Campos (Universitat Oberta de Catalunya, Universidad de Cantabria)
Canan G. Corlu (Boston University)
Maria Nogal (TU Delft - Integral Design & Management)
Angel A. Juan (Universitat Oberta de Catalunya, Universitat Politécnica de Valencia)
Cristina Caliz (Euncet Business School)
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Abstract
This paper explores the use of simulation-based training for mathematical learning in undergraduate and graduate mathematics, science, and engineering courses. Simulation-based training offers the advantages of active learning and inquiry-based learning techniques. Furthermore, it provides extensive flexibility, ranging from user-level usage of simulations to the modification or creation of new possibilities by the student, thus engaging different cognitive levels to achieve the learning objectives. This is particularly interesting in groups consisting of students from diverse backgrounds and levels, due to factors such as their international origin or varying prior education, especially in interdisciplinary Master’s degree programmes. Additionally, in online or blended environments (which have become widespread during the last years), simulation-based learning has the advantage of granting students a certain degree of autonomy, which can, to some extent, compensate for the absence of the instructor’s physical presence.