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Ramírez-Sánchez, Camilo Andrés; Romo-Vázquez, Avenilde; Romo-Vázquez, Rebeca; Velásquez-Rojas, Diana – Educational Studies in Mathematics, 2023
The training of non-specialists, particularly engineers, in mathematics requires designing specific didactic proposals that make the importance of mathematics evident. One approach to creating such proposals consists in analyzing the mathematics used in authentic contexts of engineering research and then effectuating a didactic transposition to…
Descriptors: Undergraduate Students, Mathematics Instruction, Engineering, Teaching Methods
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Cipparrone, Flavio A. M.; Consonni, Denise – IEEE Transactions on Education, 2022
Contribution: Two general rules for calculating, in the time domain, step discontinuities of voltages and currents in electric circuits, combining physical principles and basic mathematical treatment. The two general rules, resulting from a formal method of analysis, provide a straightforward way to update the states of a circuit, immediately…
Descriptors: Computation, Electronic Equipment, Time, Simulation
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Omar, 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
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Fomunyam, Kehdinga George, Ed. – IntechOpen, 2020
Theorising STEM Education in the 21st Century is a book that captures the essence of Science, Technology, Engineering and Mathematics and the intricacies of STEM education in the contemporary society. It explores STEM as an interdisciplinary field as well as the individual disciplines that make up STEM. This ensures the field of STEM as a whole is…
Descriptors: STEM Education, Interdisciplinary Approach, Educational Theories, Cognitive Processes
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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
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Yoder, S. Elizabeth; Kurz, M. Elizabeth – Journal of Education for Business, 2015
Linear programming (LP) is taught in different departments across college campuses with engineering and management curricula. Modeling an LP problem is taught in every linear programming class. As faculty teaching in Engineering and Management departments, the depth to which teachers should expect students to master this particular type of…
Descriptors: Programming, Educational Practices, Engineering, Engineering Education
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Kartal, 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
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Dixon, Raymond A.; Johnson, Scott D. – Journal of Technology Education, 2012
A cognitive construct that is important when solving engineering design problems is executive control process, or metacognition. It is a central feature of human consciousness that enables one "to be aware of, monitor, and control mental processes." The framework for this study was conceptualized by integrating the model for creative design, which…
Descriptors: Engineering, Novices, Metacognition, Higher Education
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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
Porter, Christopher H. – ProQuest LLC, 2011
The purpose of this study was to examine the variables which influence a high school student to enroll in an engineering discipline versus a physical science discipline. Data was collected utilizing the High School Activities, Characteristics, and Influences Survey, which was administered to students who were freshmen in an engineering or physical…
Descriptors: Engineering Education, Engineering, Physical Sciences, College Freshmen
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Laumakis, Paul J. – PRIMUS, 2008
This article details the application of an economic theory to the fiscal operation of a small engineering consulting firm. Nobel Prize-winning economist Wassily Leontief developed his general input-output economic theory in the mid-twentieth century to describe the flow of goods and services in the U.S. economy. We use one mathematical model that…
Descriptors: Mathematical Models, Algebra, Engineering, Economic Factors
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Chiel, Hillel J.; McManus, Jeffrey M.; Shaw, Kendrick M. – CBE - Life Sciences Education, 2010
We describe the development of a course to teach modeling and mathematical analysis skills to students of biology and to teach biology to students with strong backgrounds in mathematics, physics, or engineering. The two groups of students have different ways of learning material and often have strong negative feelings toward the area of knowledge…
Descriptors: Student Evaluation, Student Attitudes, Mathematical Models, Biology
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
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Edward, Norrie S. – European Journal of Engineering Education, 2004
This paper presents three evaluated case studies of the use of design activities in the early years of undergraduate engineering courses. Analyses of academic performance in these activities and in a separate test of understanding were correlated with student perceptions of the activities and with measures of learning style. General student…
Descriptors: Cognitive Style, Student Attitudes, Student Reaction, Engineering
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