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2005
DOI: 10.1109/tmag.2005.846493
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Assessment-based use of CAD tools in electromagnetic field courses

Abstract: Undergraduate electromagnetic field courses entail significant teaching and learning challenges. The use of simulation technologies in these courses can be an effective teaching strategy if designed properly. An assessment-based approach for identifying difficult concepts to incorporate into simulation-oriented learning is investigated. The potential benefits of the approach are illustrated with a case study.

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Cited by 11 publications
(3 citation statements)
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“…The ever increasing availability of simulation tools and physical experiments are certainly promising and, based on information from those implementing them, appear to be effective. Effective in both generating student interest and removing some of the abstractness associated with the topic [5], [6]. However prohibitive cost of equipment from commercial sources, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The ever increasing availability of simulation tools and physical experiments are certainly promising and, based on information from those implementing them, appear to be effective. Effective in both generating student interest and removing some of the abstractness associated with the topic [5], [6]. However prohibitive cost of equipment from commercial sources, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…To help those students who may not have a sound knowledge of vector calculus, the visualization tool and demonstration are important. There are extensive reports on computing and visualization the EM concepts from past published papers [5][6][7][8][9][10] . In this paper, the basic software used for computing and demonstrating the EM fields are Matlab 11,12 and Mathematica 13 which provide features of vector operation and graphical demonstration.…”
Section: Introducing the Visual Toolsmentioning
confidence: 99%
“…Electromagnetic (EM) theory education suffers from a lack of student interest and learning challenges due to extensive mathematical concepts, operations with geometry and the abstraction of concepts [1,2]. Different approaches have been proposed to address the challenges, such as hands-on-experimentation [2], the inclusion of computer aided design tools [3] and, more recently, augmented reality (AR) techniques [4]. Recent rise in popularity of 3D-enabled screens and highly improved capabilities of graphical processing units (GPUs), it is now possible to generate complex and real-time 3D visualizations that facilitate teaching of broad scientific topics [5].…”
Section: Introductionmentioning
confidence: 99%