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dc.contributor.authorAlhasan, K.en
dc.contributor.authorChen, Limingen
dc.contributor.authorChen, Fengen
dc.date.accessioned2018-06-26T14:55:12Z
dc.date.available2018-06-26T14:55:12Z
dc.date.issued2019-01-24
dc.identifier.citationAlhasan, K., Chen, L., Chen, F. (2018) An Experimental Study of Learning Behaviour in an ELearning Environment. In: Proc. of the 16th IEEE International Conference on Smart City (SmartCity-2018), Exeter, UK, June 2018.en
dc.identifier.urihttp://hdl.handle.net/2086/16299
dc.description.abstractTo reach an adaptive eLearning course, it is crucial to control and monitor the student behaviour dynamically to implicitly diagnose the student learning style. Eye tracing can serve that purpose by investigate the gaze data behaviour to the learning content. In this study, we conduct an eye tracking experiment to analyse the student pattern of behaviour to output his learning style as an aspect of personalisation in an eLearning course. We use the electroencephalography EEG Epoc that reflects users emotions to improve our result with more accurate data. Our objective is to test the hypothesis whether the verbal and visual learning Styles reflect actual preferences according to Felder and Silverman Learning Style Model in an eLearning environment. Another objective is to use the outcome presented in this experiment as the starting point for further exhaustive experiments. In this paper, we present the actual state of our experiment, conclusions, and plans for future development.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectlearning styleen
dc.subjecte-learningen
dc.subjectpersonalised learningen
dc.titleAn Experimental Study of Learning Behaviour in an ELearning Environmenten
dc.typeConferenceen
dc.identifier.doihttps://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00231
dc.researchgroupCIIRGen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2018-04-24en
dc.researchinstituteCyber Technology Institute (CTI)en


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