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Direct linkOmar, Hanafy M. – European Journal of Engineering Education, 2018
Systems dynamics and automatic control is classified as one of the toughest courses in the college of engineering at Qassim University according to the statistical analysis of the final grades. This motivated us to think about a new approach to teach this course by extending the design term project to include experimental part beside the…
Descriptors: Foreign Countries, Engineering Education, Mathematical Models, Teaching Methods
Domínguez-García, S.; García-Planas, M. I.; Taberna, J. – International Journal of Mathematical Education in Science and Technology, 2016
Technological advances require that basic science courses for engineering, including Linear Algebra, emphasize the development of mathematical strengths associated with modelling and interpretation of results, which are not limited only to calculus abilities. Based on this consideration, we have proposed a project-based learning, giving a dynamic…
Descriptors: Algebra, Mathematics Instruction, Mathematical Models, Engineering
Download full textKartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Kelley, Todd R. – Technology Teacher, 2010
A number of leaders in technology education have indicated that a major difference between the technological design process and the engineering design process is analysis and optimization. The analysis stage of the engineering design process is when mathematical models and scientific principles are employed to help the designer predict design…
Descriptors: Design, Mathematical Models, Scientific Principles, Engineering
Roubal, J.; Husek, P.; Stecha, J. – IEEE Transactions on Education, 2010
Linearization is a standard part of modeling and control design theory for a class of nonlinear dynamical systems taught in basic undergraduate courses. Although linearization is a straight-line methodology, it is not applied correctly by many students since they often forget to keep the operating point in mind. This paper explains the topic and…
Descriptors: Foreign Countries, Undergraduate Study, Engineering Technology, Engineering
Williams, J. S.; Wake, G. D. – International Group for the Psychology of Mathematics Education, 2004
We noticed that when workers try to explain their mathematical practices to inquisitive outsiders, breakdowns in communication arise. We present here an example in which a worker spontaneously uses metaphors and models to facilitate explanation and communication. We analyse these, drawing on Lakoff & Johnson (1999) and Lakoff & Nunez…
Descriptors: Figurative Language, Mathematical Models, Cultural Influences, Mathematics Education
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
