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Hybrid Systems Modeling in Learning Science and Technology

Levin, T. & Levin, I. (2002). Hybrid Systems Modeling in Learning Science and Technology. Journal of Computers in Mathematics and Science Teaching, 21(4), 313-330. Norfolk, VA: AACE.
Retrieved from http://www.editlib.org/p/9173.

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Journal of Computers in Mathematics and Science Teaching
ISSN 0731-9258
Volume 21, Issue 4, 2002
Association for the Advancement of Computing in Education (AACE) Norfolk, VA

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Tzur Levin, Ilya Levin, Tel Aviv University, Israel

Abstract

The system approach in science and technology education is concerned mainly with continuous systems, whose behavior is described by differential and difference equations. However, in the digital era, the use of discrete systems becomes more and more popular. In particular, the design of hybrid systems—which combines digital and analog (continuous) subsystems—is receiving attention through computer-embedded systems and decision-controlled systems. This article studies a way to integrate hybrid systems in science and technology classes. It proposes a new class of hybrid systems called Algorithmic Hybrid Systems, which are based on algorithmic notation. An argument in favor of introducing such hybrid systems in science and technology lessons is presented. A method for modeling and simulating hybrid systems using system dynamics simulation software is proposed, and several examples are presented and discussed.

Hybrid Systems Modeling in Learning Science and Technology

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