Title :
A knowledge based tutoring system for teaching fault analysis
Author :
Negnevitsky, Michael
Author_Institution :
Tasmania Univ., Hobart, Tas., Australia
fDate :
2/1/1998 12:00:00 AM
Abstract :
A knowledge based tutoring system is used to support the education of power 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 numbers of students with no increase in staff. The tutoring system is based on an expert system shell. It provides a functionally interacting set of theory and problems, and supports student progress through monitoring and assessment. This paper describes the development of the tutoring system for teaching electrical engineering subjects, and in particular, fault analysis in power systems. The expert system based software has been successfully used by power engineering students. They found this software easy to use and understand, and it has become an extra teaching tool
Keywords :
expert system shells; fault diagnosis; intelligent tutoring systems; power engineering education; power system analysis computing; Leonardo expert system shell; balanced fault conditions; education; expert system based software; fault analysis teaching; knowledge based tutoring system; learning; power engineering students; student assessment; student monitoring; teaching tool; unbalanced fault conditions; Educational products; Electrical engineering; Expert systems; Monitoring; Power engineering; Power engineering education; Power system analysis computing; Power system faults; Software systems; Systems engineering education;
Journal_Title :
Power Systems, IEEE Transactions on
