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An intelligent system-based teaching tool for electrical engineering subjects
Citation
Negnevitsky, M, An intelligent system-based teaching tool for electrical engineering subjects, Proceedings of the Joint International Conference on Engineering Education and International Conference on Information Technology, 2-6 June, Riga, Latvia, pp. 66-72. (2014) [Refereed Conference Paper]
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Copyright Statement
Copyright 2014 the Author
Official URL: http://ineer2014.rtu.lv/sites/default/files/Paper_...
Abstract
Computer-based intelligent tutorials are dedicated to support the education of power and electrical engineering students. The aim of this project is to make teaching and learning more productive and efficient by employing modern technologies. It seeks to find new methods to teach large number of students with no increase in staff. Intelligent tutorials are developed based on an expert system shell. They provide the functionally interacted set of theory and problems, and support the student progress monitoring and assessment. This paper describes the development of tutoring software for teaching electrical engineering subjects, and in particular, faults analysis in power systems. The expert system based software has been developed and successfully used by power systems students. They found this software easy to use and understand, and it will become an extra teaching tool.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | intelligent system, teaching tool, electrical engineering |
Research Division: | Engineering |
Research Group: | Electrical engineering |
Research Field: | Electrical energy generation (incl. renewables, excl. photovoltaics) |
Objective Division: | Energy |
Objective Group: | Energy storage, distribution and supply |
Objective Field: | Energy systems and analysis |
UTAS Author: | Negnevitsky, M (Professor Michael Negnevitsky) |
ID Code: | 97626 |
Year Published: | 2014 |
Deposited By: | Engineering |
Deposited On: | 2015-01-05 |
Last Modified: | 2017-11-06 |
Downloads: | 253 View Download Statistics |
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