Derivation of Suitability Metrics for Remote Access Mode Experiments
dc.contributor.author | Murray, S. | |
dc.contributor.author | Lindsay, Euan | |
dc.contributor.author | Lowe, D. | |
dc.contributor.author | Tuttle, S. | |
dc.contributor.editor | Michael E Auer | |
dc.contributor.editor | Goran Karlsson | |
dc.date.accessioned | 2017-01-30T11:15:05Z | |
dc.date.available | 2017-01-30T11:15:05Z | |
dc.date.created | 2011-03-15T20:01:48Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Lindsey, E.D. and Murray, S.J. and Lowe, D.B. and Tuttle, S.W. 2010. Derivation of Suitability Metrics for Remote Access Mode Experiments, in Auer, M.E. and Karlsson, G. (ed), Remote Engineering and Virtual Instrumentation 2010, Jun 29 2010. Stockholm, Sweden: Kassel University Press. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/9818 | |
dc.description.abstract |
When considering the possible use of an online mode of experimentation it is important to evaluate the suitability of the remote access mode to a particular learning exercise. Within a large and diverse set of possible experiment-oriented learning exercises, it follows that not all laboratory experiments are well-suited for conversion to the remote access mode. In this paper we consider a range of factors that should be considered before the decision is taken to implement a remote laboratory. These factors fit broadly into four categories: learning factors, equipment factors, cohort factors and accreditation factors. Some of the factors may demonstrate a tendency to belong to more than one category, and some may present with a more significant weighting than others, but the categorical organization of the factors adds an ability to apply an objective assessment to remote access mode suitability. | |
dc.publisher | Kassel University Press | |
dc.subject | conversion | |
dc.subject | learning factors | |
dc.subject | suitability | |
dc.subject | Remote laboratory | |
dc.title | Derivation of Suitability Metrics for Remote Access Mode Experiments | |
dc.type | Conference Paper | |
dcterms.source.title | REV2010 | |
dcterms.source.series | REV2010 | |
dcterms.source.isbn | 9783899585407 | |
dcterms.source.conference | Remote Engineering and Virtual Instrumentation 2010 | |
dcterms.source.conference-start-date | Jun 29 2010 | |
dcterms.source.conferencelocation | Stockholm, Sweden | |
dcterms.source.place | Kassel, Germany | |
curtin.department | Department of Mechanical Engineering | |
curtin.accessStatus | Open access |