Intelligent User-Support in Learning Environments for Remote Experimentation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


Distance-learning engineering courses supportingremote laboratory experimentation, afford a numberof critical benefits including flexible access toresources. Creating an effective and integratedlearning environment which allows the access,control and monitoring of embedded devices andinstrumentation over the Internet is challenging.Recent advances in web technologies andapplications have enabled increased levels offunctionality and accessibility for remotelaboratories. However, remote learning by its verynature provides limited educator assistance and froma students’ perspective it is inevitable that at somestage of the experimental process, context specifichelp will be required. This paper addresses thesupport for intelligent user help in the context ofremote experimentation for embedded systems andpresents a semi-automated user-assistance system,which supports the current remote experimentationlaboratory available at the University of Ulster. Anexample micro controller experiment is used todemonstrate the effectiveness of the user-help system.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationSydney Australia
Number of pages5
ISBN (Print)0-7695-2316-1
Publication statusPublished (in print/issue) - 5 Jul 2005
EventThird International Conference on Information Technology and Applications, 2005. ICITA 2005. - Sydney Australia
Duration: 5 Jul 2005 → …


ConferenceThird International Conference on Information Technology and Applications, 2005. ICITA 2005.
Period5/07/05 → …

Bibliographical note

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[2] Remote controlled experiments for teaching over the
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[3] Cyber Laboratory:
[4] Remote Experiment Laboratory:
[5] Callaghan M.J, Harkin J, McGinnity T.M, Maguire
L.P: “Adaptive Intelligent Environment for Remote
Experimentation”, Proc of IEEE Int. Conf. on Web
Intelligence, 2003, pp. 409-412.
[6] Callaghan, M.J, Harkin, J, McGinnity, T.M, Maguire,
L.P: “An Internet-based methodology for remotely
accessed embedded systems”, IEEE Int. Conf. on
Systems, Man and Cybernetics, 2002, pp. 157-162
[7] Callaghan, M.J, Harkin, J, McGinnity, T.M, Maguire,
L.P: “Collaborative Environment For Remote
Experimentation”, 2003 Int. Conf. Microelectronic
systems Education, 2003, pp. 157 –162.
[8] Aamodt, A, Plaza, E.: “Case-Based Reasoning:
Foundational Issues, Methodological Variations, and
System Approaches”, Artificial Intelligence
Communications, vol. 7, no. 1, 1994, pp 39-59.


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