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dc.contributor.authorGavriushenko, Mariia
dc.contributor.authorKhriyenko, Oleksiy
dc.contributor.authorTuhkala, Ari
dc.contributor.editorEscudeiro, Paula
dc.contributor.editorCostagliola, Gennaro
dc.contributor.editorZvacek, Susan
dc.contributor.editorUhomoibhi, James
dc.contributor.editorMcLaren, Bruce M.
dc.date.accessioned2017-06-29T11:59:49Z
dc.date.available2017-06-29T11:59:49Z
dc.date.issued2017
dc.identifier.citationGavriushenko, M., Khriyenko, O., & Tuhkala, A. (2017). An Intelligent Learning Support System. In P. Escudeiro, G. Costagliola, S. Zvacek, J. Uhomoibhi, & B. M. McLaren (Eds.), <i>CSEDU 2017 : Proceedings of the 9th International Conference on Computer Supported Education. Vol. 1</i> (pp. 217-225). SCITEPRESS Science And Technology Publications. <a href="https://doi.org/10.5220/0006252102170225" target="_blank">https://doi.org/10.5220/0006252102170225</a>
dc.identifier.otherCONVID_27015481
dc.identifier.otherTUTKAID_73848
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/54734
dc.description.abstractFast-growing technologies are shaping many aspects of societies. Educational systems, in general, are still rather traditional: learner applies for school or university, chooses the subject, takes the courses, and finally graduates. The problem is that labor markets are constantly changing and the needed professional skills might not match with the curriculum of the educational program. It might be that it is not even possible to learn a combination of desired skills within one educational organization. For example, there are only a few universities that can provide high-quality teaching in several different areas. Therefore, learners may have to study specific modules and units somewhere else, for example, in massive open online courses. A person, who is learning some particular content from outside of the university, could have some knowledge gaps which should be recognized. We argue that it is possible to respond to these challenges with adaptive, intelligent, and personalized learning systems that utilize data analytics, machine learning, and Semantic Web technologies. In this paper, we propose a model for an Intelligent Learning Support System that guides learner during the whole lifecycle using semantic annotation methodology. Semantic annotation of learning materials is done not only on the course level but also at the content level to perform semantic reasoning about the possible learning gaps. Based on this reasoning, the system can recommend extensive learning material.
dc.language.isoeng
dc.publisherSCITEPRESS Science And Technology Publications
dc.relation.ispartofCSEDU 2017 : Proceedings of the 9th International Conference on Computer Supported Education. Vol. 1
dc.subject.otherintelligent learning systems
dc.subject.otheradaptive education
dc.subject.otherpersonalized education
dc.titleAn Intelligent Learning Support System
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201706283142
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2017-06-28T03:18:16Z
dc.relation.isbn978-989-758-239-4
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange217-225
dc.type.versionacceptedVersion
dc.rights.copyright© the Authors & SCITEPRESS, 2017. This is a final draft version of an article whose final and definitive form has been published by SCITEPRESS. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Computer Supported Education
dc.subject.ysooppimisympäristö
dc.subject.ysoälytekniikka
dc.subject.ysooppiminen
dc.subject.ysoopetus
dc.subject.ysopersonointi
dc.subject.ysourakehitys
jyx.subject.urihttp://www.yso.fi/onto/yso/p4835
jyx.subject.urihttp://www.yso.fi/onto/yso/p27260
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p2630
jyx.subject.urihttp://www.yso.fi/onto/yso/p21894
jyx.subject.urihttp://www.yso.fi/onto/yso/p14983
dc.relation.doi10.5220/0006252102170225
dc.type.okmA4


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