Paradigms in Remote Experimentation

Authors

  • Michael J. Callaghan University of Ulster, UK
  • Jim Harkin University of Ulster, UK
  • Martin McGinnity University of Ulster, UK
  • Liam Maguire University of Ulster, UK

DOI:

https://doi.org/10.3991/ijoe.v3i4.468

Keywords:

E-learning, Embedded Systems, Remote experimentation, Collaborative working, Lecturer-led

Abstract


Experience in teaching engineering related subjects has shown that a complementary approach combining theoretical and practical exercises is vital for effective learning. Increasingly, teaching institutions are offering remote access to distant laboratories as part of an overall e-learning strategy. However, the majority of remote access laboratories developed to date have suffered from a major deficiency, namely the provision of a web based environment that accurately recreates the collaborative group working and tutor driven experiences of traditional on-campus based laboratories. New collaborative remote experimentation environments and architectures are required to enable students in disparate locations to simultaneously and collaboratively complete complex experimental exercises. This paper presents several client-server paradigms that facilitate single user remote access, collaborative working and lecturer led approaches to the provision of remote experimentation facilities.

Author Biography

Michael J. Callaghan, University of Ulster, UK

Michael Callaghan graduated from the University of Ulster with a Bachelor of Technology Degree in Electronic Engineering in 1996 and a M.Sc. in Computing & Design. At present he is a Lecturer in the School of Computing and Intelligent System,Faculty of Engineering Magee. His main areas of interest are Multimedia, Wireless Technologies, Technology in Education, Computer Gaming, Remote Experimentation, Machine Vision and Hybrid Intelligent Systems.

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Published

2007-11-13

How to Cite

Callaghan, M. J., Harkin, J., McGinnity, M., & Maguire, L. (2007). Paradigms in Remote Experimentation. International Journal of Online and Biomedical Engineering (iJOE), 3(4). https://doi.org/10.3991/ijoe.v3i4.468

Issue

Section

Special Focus Papers