Intelligent Remote Experimentation

Authors:
M. J. Callaghan;M. El-Gueddari;J. Harkin;T. M. McGinnity;L. P. Maguire
Affiliations:
University of Ulster, UK;University of Ulster, UK;University of Ulster, UK;University of Ulster, UK;University of Ulster, UK
Venue:
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2004

Citing 1
Cited 1

Adaptive Intelligent Environment for Remote Experimentation

WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence

Mining forums for asynchronous learning in distance education: faculty poster

Journal of Computing Sciences in Colleges

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Abstract

Constant innovation and product evolution in the area of embedded systems necessitates educational institutions and other training providers to continuingly reassess the content and delivery of engineering curricula. Increasingly web based distance education courses are on offer, augmented by the provision of remote experimentation laboratories facilitating distant access to campus based physical resources. 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. This paper seeks to address this issue in the context of remote experimentation for embedded systems and demonstrates a distributed communications application implemented using a web services/.NET Remoting framework for an adaptive intelligent learning environment for remote experimentation.