Intelligent User-Support in Learning Environments for Remote Experimentation

Jim Harkin; MJ Callaghan; TM McGinnity; Liam Maguire

doi:10.1109/ICITA.2005.163

Intelligent User-Support in Learning Environments for Remote Experimentation

Jim Harkin, MJ Callaghan, TM McGinnity, Liam Maguire

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Unknown Host Publication
Place of Publication	Sydney Australia
Publisher	IEEE
Pages	119-124
Number of pages	5
Volume	2
ISBN (Print)	0-7695-2316-1
DOIs	https://doi.org/10.1109/ICITA.2005.163
Publication status	Published - 5 Jul 2005
Event	Third International Conference on Information Technology and Applications, 2005. ICITA 2005. - Sydney Australia Duration: 5 Jul 2005 → …

Conference

Conference	Third International Conference on Information Technology and Applications, 2005. ICITA 2005.
Period	5/07/05 → …

Keywords

Remote labs

Access to Document

10.1109/ICITA.2005.163

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Harkin, J., Callaghan, MJ., McGinnity, TM., & Maguire, L. (2005). Intelligent User-Support in Learning Environments for Remote Experimentation. In Unknown Host Publication (Vol. 2, pp. 119-124). IEEE. https://doi.org/10.1109/ICITA.2005.163

@inproceedings{7bc5965d4f7f4644b04171bc55b2239c,

title = "Intelligent User-Support in Learning Environments for Remote Experimentation",

abstract = "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{\textquoteright} 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.",

keywords = "Remote labs",

author = "Jim Harkin and MJ Callaghan and TM McGinnity and Liam Maguire",

note = "Reference text: [1] Wolf, W, Madsen, J: “Embedded systems education for the future”, Proceedings of the IEEE, vol.88, no.1, 2000, pp.23-30 [2] Remote controlled experiments for teaching over the Internet: Comparison of approaches developed in the PEARL Project: http://iet.open.ac.uk/pearl/publications/index.htm [3] Cyber Laboratory: http://www.cyberlab.org/ [4] Remote Experiment Laboratory: http://www.inf.ufsc.br/~jbosco/labvir.htm [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.; Third International Conference on Information Technology and Applications, 2005. ICITA 2005. ; Conference date: 05-07-2005",

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N1 - Reference text: [1] Wolf, W, Madsen, J: “Embedded systems education for the future”, Proceedings of the IEEE, vol.88, no.1, 2000, pp.23-30 [2] Remote controlled experiments for teaching over the Internet: Comparison of approaches developed in the PEARL Project: http://iet.open.ac.uk/pearl/publications/index.htm [3] Cyber Laboratory: http://www.cyberlab.org/ [4] Remote Experiment Laboratory: http://www.inf.ufsc.br/~jbosco/labvir.htm [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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