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dc.contributor.authorNafea, Shaimaaen
dc.contributor.authorSiewe, Francoisen
dc.contributor.authorHe, Yingen
dc.date.accessioned2018-02-20T15:07:43Z
dc.date.available2018-02-20T15:07:43Z
dc.date.issued2018
dc.identifier.citationNafea, S., Siewe, F. and He, Y. (2018) ULEARN: Personalised Learner’s Profile Based On Dynamic Learning Style Questionnaire.IEEE Intelligent Systems Conference 2018, London, September 2018.en
dc.identifier.urihttp://hdl.handle.net/2086/15255
dc.descriptionThe file attached to this record is the author's final peer reviewed version.en
dc.description.abstractE-Learning recommender system effectiveness re- lies upon their ability to recommend appropriate learning con- tents according to the learner learning style and preferences. An effective approach to handle the learner preferences is to build an efficient learner profile in order to gain adaptation and individualisation of the learning environment. It is usually necessary to know learning style and preferences of the learner on a domain before adapting the learning process and course content. This study focuses on identifying the learning styles of students in order to adapt the learning process and course content. ULEARN is an adaptive recommender learning system designed to provide learners with personalised learning environment such as course learning objects that match their adaptive profile. This paper presents the algorithm used in ULEARN to reduce dynamically the number of questions in Felder-Silverman learning style ques- tionnaire used to initialise the adaptive learner profile. Firstly, the questionnaire is restructured into four groups, one for each learning style dimension; and a study is carried out to determine the order in which questions will be asked in each dimension. Then an algorithm is built upon this ranking of questions to calculate dynamically the initial learning style of the user as they go through the questionnaire.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectE-learningen
dc.subjectadaptive-learningen
dc.subjectalgorithmsen
dc.subjectadaptive learner profileen
dc.subjectlearning styleen
dc.subjectfelder-silverman modelen
dc.subjectquestionnaireen
dc.subjectprofileren
dc.titleULEARN: Personalised Learner’s Profile Based On Dynamic Learning Style Questionnaireen
dc.typeConferenceen
dc.researchgroupSoftware Technology Research Laboratory (STRL)en
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2018-02-13en
dc.researchinstituteCyber Technology Institute (CTI)en


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