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Remote and mobile experimentation: pushing the boundaries of an ubiquitous learning place

dc.contributor.authorCosta, Ricardo J.
dc.contributor.authorAlves, Gustavo R.
dc.date.accessioned2014-07-03T10:52:12Z
dc.date.available2014-07-03T10:52:12Z
dc.date.issued2006
dc.description.abstractConcepts like E-learning and M-learning are changing the traditional learning place. No longer restricted to well-defined physical places, education on Automation and other Engineering areas is entering the so-called ubiquitous learning place, where even the more practical knowledge (acquired at lab classes) is now moving into, due to emergent concepts such as Remote Experimentation or Mobile Experimentation. While Remote Experimentation is traditionally regarded as the remote access to real-world experiments through a simple web browser running on a PC connected to the Internet, Mobile Experimentation may be seen as the access to those same (or others) experiments, through mobile devices, used in M-learning contexts. These two distinct client types (PCs versus mobile devices) pose specific requirements for the remote lab infrastructure, namely the ability to tune the experiment interface according to the characteristics (e.g. display size) of the accessing device. This paper addresses those requirements, namely by proposing a new architecture for the remote lab infrastructure able to accommodate both Remote and Mobile Experimentation scenarios.por
dc.identifier.doi10.3182/20060522-3-FR-2904.00050
dc.identifier.isbn978-3-902661-05-0
dc.identifier.urihttp://hdl.handle.net/10400.22/4667
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherInternational Federation of Automatic Controlpor
dc.relation.ispartofseriesAutomated Systems Based on Human Skill and Knowledge; Vol. 9, Part 1
dc.relation.publisherversionhttp://www.ifac-papersonline.net/Detailed/38838.htmlpor
dc.subjectMobile experimentationpor
dc.subjectMobile devicespor
dc.subjectM-learningpor
dc.titleRemote and mobile experimentation: pushing the boundaries of an ubiquitous learning placepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceEcole Nationale Superieure en Genie des Systemes Industriels, Francepor
oaire.citation.endPage320por
oaire.citation.startPage314por
oaire.citation.title9th IFAC Symposium on Automated Systems Based on Human Skill and Knowledge, 2006por
oaire.citation.volumeVol. 9por
person.familyNameCosta
person.familyNameAlves
person.givenNameRicardo
person.givenNameGustavo
person.identifier1264126
person.identifier150015
person.identifier.ciencia-id7617-439D-D7E8
person.identifier.ciencia-id4210-4DF2-5206
person.identifier.orcid0000-0002-8062-1792
person.identifier.orcid0000-0002-1244-8502
person.identifier.ridP-3867-2015
person.identifier.ridI-7876-2014
person.identifier.scopus-author-id56899987500
person.identifier.scopus-author-id7006053908
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationd9524bd4-b1cf-42e3-a37b-e415e7d5f922
relation.isAuthorOfPublication01800568-7eaf-41d9-b78d-cf64f7c7381d
relation.isAuthorOfPublication.latestForDiscoveryd9524bd4-b1cf-42e3-a37b-e415e7d5f922

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