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Enhancing food engineering education with interactive web-based simulations

Alexandros Koulouris ,
Alexandros Koulouris
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Georgios Aroutidis ,
Georgios Aroutidis
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Dimitrios Vardalis ,
Dimitrios Vardalis
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Petros Giannoulis ,
Petros Giannoulis
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Paraskevi Karakosta
Paraskevi Karakosta
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Published: 01.12.2014.

Volume 4, Issue 1 (2015)

https://doi.org/10.7455/ijfs.v4i1.248

Abstract

In the traditional deductive approach in teaching any engineering topic, teachers would first expose students to the derivation of the equations that govern the behavior of a physical system and then demonstrate the use of equations through a limited number of textbook examples. This methodology, however, is rarely adequate to unmask the cause-effect and quantitative relationships between the system variables that the equations embody. Web-based simulation, which is the integration of simulation and internet technologies, has the potential to enhance the learning experience by offering an interactive and easily accessible platform for quick and effortless experimentation with physical phenomena.This paper presents the design and development of a web-based platform for teaching basic food engineering phenomena to food technology students. The platform contains a variety of modules (“virtual experiments”) covering the topics of mass and energy balances, fluid mechanics and heat transfer. In this paper, the design and development of three modules for mass balances and heat transfer is presented. Each webpage representing an educational module has the following features: visualization of the studied phenomenon through graphs, charts or videos, computation through a mathematical model and experimentation.  The student is allowed to edit key parameters of the phenomenon and observe the effect of these changes on the outputs. Experimentation can be done in a free or guided fashion with a set of prefabricated examples that students can run and self-test their knowledge by answering multiple-choice questions.

References

1.
Benetazzo L, Bertocco M, Ferraris F, Ferrero A, Offelli C, Parvis M, et al. A Web-based distributed virtual educational laboratory. IEEE Transactions on Instrumentation and Measurement. 2000;49(2):349–56.
2.
Byrne J, Heavey C, Byrne PJ. A review of Web-based simulation and supporting tools. Simulation Modelling Practice and Theory. 2010;18(3):253–76.
3.
Gillet D, Ngoc A, Rekik Y. Collaborative web-based experimentation in flexible engineering education. IEEE Transactions on Education. 2005;(4):696–704.
4.
Ibrahim D. Engineering simulation with MATLAB: improving teaching and learning effectiveness. Procedia Computer Science. 2011;3:853–8.
5.
Kuljis J, Paul RJ. An appraisal of web-based simulation: whither we wander? Simulation Practice and Theory. 2001;9(1–2):37–54.
6.
Leung ACK. Contextual issues in the construction of computer‐based learning programs. Journal of Computer Assisted Learning. 2003;19(4):501–16.
7.
Pitts D, Sissom L. Schaum’s outline of heat transfer. 1998;
8.
Sun D. Computational fluid dynamics in food processes. 2010;

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