Computer modeling for enhancing instruction of electric machinery

Nehrir, M.H.; Fatehi, F.; Gerez, V.

doi:10.1109/13.387219

Cited by 35 publications

(19 citation statements)

References 7 publications

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“…This subject embraces an area of knowledge that presents well-known difficulties in undergraduate level courses (Ayasun & Nwankpa, 2005;Daniels & Shaffer, 1998;Domnisoru, 2005;Drofenik & Kolar, 2002;Jurado, Acero, Carpio, & Castro, 2000;McInerny, Stern, & Haskew, 1999;Nehrir, Fatehi, & Gerez, 1995;Nigim & Delyser, 2001). The students have usually problems to get a clear picture of the main concepts when traditional teaching methodologies (based on theoretical chalk-and-board lectures) and laboratory sessions (based on hands on instruction) are implemented.…”

Section: Introductionmentioning

confidence: 99%

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Durán

Gallardo

Toral

et al. 2007

Int J Technol Des Educ

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Learner-centred approaches follow the prevailing tendency in modern University reforms which are primarily concerned about ''how people learn''. The methodologies can be learner-centred in the sense of placing the student as the main actor of the teaching-learning process by increasing his interactivity and participation, but also considering what is relevant for the student by measuring the learner satisfaction. In order to promote both aspects, this paper proposes a synchronous software-based active methodology that makes use of the simulations to show a virtual scenario to the students and challenge them to predict and discuss the evolution of the scenario. The proposed methodology improves the visual interface, promotes discussion both among students and with the teacher in a brainstorming stage and shows real-world examples. This software-based methodology has been implemented into an Electric Machinery course at the University of Seville (Spain), and the evaluation has been carried out considering both the affective and cognitive domains. Principal components analysis proves to be useful to highlight the dimensions with a higher influence on learner satisfaction and the affective and cognitive results confirm the successful implementation of the proposal.

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Section: Introductionmentioning

confidence: 99%

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Durán

Gallardo

Toral

et al. 2007

Int J Technol Des Educ

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“…Nevertheless power engineering educators waited relatively a long time to respond favorably and to use computing tools as teaching aids. Moreover, several reports suggested that university educational programs in power engineering were far from being healthy [2][3][4][5][6][7][8][9] . However, attempts are made to reenergize power engineering education by incorporating symbolic computation as teaching aid, a natural development since size and complexity of power system problems are making computers essential tools for power system analysis, operation, design or training [1][2][3][4][5] .…”

Section: Power Engineering Education Issues and Challengesmentioning

confidence: 99%

“…Solved problems are complex and students have not only to understand the topic but also to consider the material influence and device properties is also equally important. CAS can detach slaving away the mathematics, to study problems in their complexity and better understand the concepts [3][4][5][6][7][8][9][10][11][12][13][14] . Visual information has its indispensable role in understanding the complex power system analysis, operation and characteristics.…”

Section: Power Engineering Education Issues and Challengesmentioning

confidence: 99%

“…There are such computerbased tools available for teaching electrical machines, power system analysis, power electronics or other engineering topics. However, they are specific and confined to dedicated objectives, often lacking the interactivity, and become obsolete once the operating environment is changed [5][6][7][8] . When dedicated programs are purchased, the buyers receive operation manuals, while the source codes are not usually available and often too complicated to understand.…”

Section: Introduction Power Engineering Education Issues and Challengesmentioning

confidence: 99%

“…In the area of power systems, pioneer work was performed in the late 80's at the University of Wisconsin-Madison in the application and use of symbolic computing or symbolic-assisted numeric computational tools in power engineering education [3][4][5][6][7] . There are four CAS features with potential for changing and improving engineering education [1][2][3][4][5][6][7][8][9] : 1. Active student learning involvement; 2.…”

Section: Introduction Power Engineering Education Issues and Challengesmentioning

confidence: 99%

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Symbolic Computation Applications in Power Engineering Education

Belu¹,

Cioca²,

Chiou³

2017 ASEE Annual Conference &Amp; Exposition Proceedings

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He is holding one PHD in power engineering and other one in physics. Before joining to Southern University Dr. Belu hold faculty, research and industry positions at universities and research institutes in Romania, Canada and United States. He also worked for several years in industry as project manager, senior engineer and consultant. He has taught and developed undergraduate and graduate courses in power electronics, power systems, renewable energy, smart grids, control, electric machines, instrumentation, radar and remote sensing, numerical methods, space and atmosphere physics, and applied physics. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, smart microgrids, power electronics and electric machines for non-conventional energy conversion, remote sensing, wave and turbulence, numerical modeling, electromagnetic compatibility and engineering education. During his career Dr. Belu published ten book chapters, several papers in referred journals and in conference proceedings in his areas of the research interests. He has also been PI or Co-PI for various research projects United States and abroad in power systems analysis and protection, load and energy demand forecasting, renewable energy, microgrids, wave and turbulence, radar and remote sensing, instrumentation, atmosphere physics, electromagnetic compatibility, and engineering education. Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel University, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous research experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.c American Society for Engineering Education, 2017 Symbolic Computation Applications in Power Engineering EducationRadian Belu, Southern University, Baton Rouge. USA Lucian Cioca, University "Lucian Blaga" of Sibiu, Romania AbstractThe complexity of power system problems requires the use of modern, multiple and advanced computing tools and programs. Software applications in power system operation, analysis and management began several decades ago. As power systems have become increasingly complex and moving towards smart grids there are also critical needs to have available similar tools and programs for training power engineering students. An attractive way of teaching power engineering topics is the use of computer algebra systems. These interactive environments for computation, visualization, and modeling are use...

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Development and evaluation of a computer‐based laboratory teaching tool

Avouris

Τσέλιος

Tatakis

2001

Comp Applic In Engineering

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Effective evaluation of educational software is a key issue for successful introduction of advanced tools in the curriculum. This paper focuses on our experience of developing and evaluating a tool for computer‐assisted teaching of engineering laboratory courses. Various categories of educational softwares that can be used for laboratory courses are described. An example of such experimental system is also provided. Finally issues and techniques relating with usability evaluation of instructional software are described with examples of application of these techniques during the design and experimental use of electrical‐machines laboratory educational software. © 2001 John Wiley & Sons, Inc. Comput Appl Eng Educ 9: 8–19, 2001

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Computer modeling for enhancing instruction of electric machinery

Cited by 35 publications

References 7 publications

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Symbolic Computation Applications in Power Engineering Education

Development and evaluation of a computer‐based laboratory teaching tool

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