Dear Colleagues,

There is a longstanding quest to make scientific and engineering studies more attractive to potential students at all levels in order to increase the number of students choosing them as vocations. It seems that the labor opportunities that they offer in our present technological society are not sufficient for increasing the engagement of young people in science and engineering. Therefore, all efforts carried out in making the learning content more interesting are welcome. Nowadays, students can have access to a huge amount of computational and technological tools. However, the potential uses of these technologies depend, in great part, on their mathematical knowledge and skills. These competencies can be developed in different ways, such as the inclusion of mathematical modeling and simulation in the syllabus of educational programs.

Mathematical modeling enables us to describe the behavior of a broad range of phenomena and systems in nature and society. With simulations, they permit us to predict the evolution of those systems without actually testing them in the real world. This way is not only cheaper, safer, and faster, but also helps to develop critical and analytical thinking skills in students. After a preliminary model is generated, different scenarios can be easily considered by carrying out slight modifications to the model. In silicon experiments, students will obtain a better understanding of the real world and the consequences and implications of different decisions in the system. In this way, it also contributes to the development and use of assessment methods by students.

In this Special Issue, we want to feature several state-of-the-art examples of how mathematical modeling and simulations can be incorporated by different disciplines and how they can increase the engagement and results of students in science and engineering courses.

This issue is a continuation of the previous successful Special Issue “Mathematical Modeling and Simulation in Science and Engineering Education”.

Prof. Dr. J. Alberto Conejero
Guest Editor

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• Complex systems
• Computational and numerical simulation
• Engineering education
• Engineering and environmental processes
• Mathematical education
• Mathematical modelling
• Multiphysics processes