A Generic Framework for Remote Practicals: Application to Computer Science and early feedbacks

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dc.contributor.authorBouabid, Mohamed Amine
dc.date.accessioned2013-11-20T13:00:09Z
dc.date.available2013-11-20T13:00:09Z
dc.date.issued2012
dc.description.abstractIn this paper we present a model-driven based framework to guide efficiently the design and integration of remote computer experiments into distant learning curricula taking into the account the related educational considerations (especially efficient online teamwork and tutoring support). Our approach is centered on a specific pedagogical object: the lab experiment and based on a standard management meta-model to describe and interact with any concrete lab experiment during its whole lifecycle. These models are carried out by a three-tier architecture comprising: (1) The upper learning environment, (2) A middleware layer, and (3) The lower remote laboratories (2). The middleware exposes a homogeneous set of services to the learning layer to interact with the experiments’ models that are matched with the corresponding raw lab resources; giving the opportunity to develop innovative and educational end-user HCIs. A concrete application in the computer science area is developed, followed by an early usability testing which brought promoting resultsfr_FR
dc.identifier.isrnCERIST-DR/RR--12-000000016--dzfr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/246
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.ispartofseriesRapports de recherche internes
dc.relation.placeAlger
dc.subjectTechnology Enhanced Learningfr_FR
dc.subjectRemote Lab-Worksfr_FR
dc.subjectComputing Experimentsfr_FR
dc.subjectDistributed Architecturefr_FR
dc.subjectModel-Driven Approachfr_FR
dc.titleA Generic Framework for Remote Practicals: Application to Computer Science and early feedbacksfr_FR
dc.typeTechnical Report
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