Derivation of Suitability Metrics for Remote Access Mode Experiments

Lindsay, E; Murray, SJ; Lowe, DB; Kostulski, T; Tuttle, SW

Derivation of Suitability Metrics for Remote Access Mode Experiments

Lindsay, E Murray, SJ Lowe, DB Kostulski, T

Tuttle, SW

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Publisher:: Kassel University Press
Publication Type:: Conference Proceeding
Citation:: REV 2010: 7th International Conference on Remote Engineering and Virtual Instrumentation, 2010, pp. 204 - 210
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Lindsay, E	en_US
dc.contributor.author	Murray, SJ	en_US
dc.contributor.author	Lowe, DB	en_US
dc.contributor.author	Kostulski, T https://orcid.org/0000-0001-5531-5649	en_US
dc.contributor.author	Tuttle, SW	en_US
dc.contributor.editor	Auer, M	en_US
dc.contributor.editor	Karlsson, G	en_US
dc.date	2010-06-29	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	REV 2010: 7th International Conference on Remote Engineering and Virtual Instrumentation, 2010, pp. 204 - 210	en_US
dc.identifier.isbn	978-3-89958-540-7	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16380
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.	en_US
dc.publisher	Kassel University Press	en_US
dc.relation.ispartof	REV 2010: 7th International Conference on Remote Engineering and Virtual Instrumentation	en_US
dc.relation.ispartof	International Conference on Remote Engineering and Virtual Instrumentation	en_US
dc.title	Derivation of Suitability Metrics for Remote Access Mode Experiments	en_US
dc.type	Conference Proceeding
utslib.location	Stockholm, Sweden	en_US
utslib.location.activity	Stockholm, Sweden	en_US
utslib.for	0999 Other Engineering	en_US
dc.location.activity	Stockholm, Sweden	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Research Office
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Research Office/Research Office (Development)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Stockholm, Sweden	en_US
pubs.start-date	2010-06-29	en_US

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.

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http://hdl.handle.net/10453/16380