DocumentCode :
2228096
Title :
Adaptive intelligent environment for remote experimentation
Author :
Callaghan, MJ ; Harkin, J. ; McGinnity, TM ; Maguire, LP
Author_Institution :
Intelligent Syst. Eng. Lab., Ulsan Univ., Northern Ireland, UK
fYear :
2003
fDate :
13-17 Oct. 2003
Firstpage :
680
Lastpage :
683
Abstract :
The use of laboratory experiments is a critically important aspect of engineering education where experience has shown that a complementary approach combining theoretical and practical exercises is vital for effective learning. Increasingly, teaching institutions are offering Web based remote access to distant laboratories as part of an overall e-learning strategy. The design and implementation of effective and usable remote experimentation facilities poses unique challenges given the inherent complexities of the learning environment and the constraints imposed by the delivery medium. Developments in recent years have addressed many of these issues. However autonomous learning environments by their very nature offer minimal educator assistance and from a students perspective it is inevitable that at some stage of the experimental process, context specific help will be required. We address this issue in the context of remote experimentation for embedded systems and present an adaptive intelligent learning environment with intelligent user help.
Keywords :
Internet; distance learning; educational institutions; embedded systems; engineering computing; engineering education; intelligent tutoring systems; laboratories; student experiments; Web based remote access; adaptive intelligent learning environment; autonomous learning environment; distant laboratory; e-learning strategy; embedded system; engineering education; remote experimentation; teaching institution; Distance learning; Electronic learning; Embedded system; Engineering education; Hardware; Informatics; Intelligent systems; Internet; Remote laboratories; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1932-6
Type :
conf
DOI :
10.1109/WI.2003.1241295
Filename :
1241295
Link To Document :
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