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dc.contributor.authorTsianos, Nikosen
dc.contributor.authorGermanakos, Panagiotisen
dc.contributor.authorLekkas, Zachariasen
dc.contributor.authorMourlas, Constantinosen
dc.contributor.authorSamaras, George S.en
dc.creatorTsianos, Nikosen
dc.creatorGermanakos, Panagiotisen
dc.creatorLekkas, Zachariasen
dc.creatorMourlas, Constantinosen
dc.creatorSamaras, George S.en
dc.date.accessioned2019-11-13T10:42:33Z
dc.date.available2019-11-13T10:42:33Z
dc.date.issued2010
dc.identifier.issn0302-9743
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/55097
dc.description.abstractThis research paper presents the positive effect of incorporating individuals' working memory (WM) span as a personalization factor in terms of improving users' academic performance in the context of adaptive educational hypermedia. The psychological construct of WM is robustly related to information processing and learning, while there is a wide differentiation of WM span among individuals. Hence, in an effort to examine the role of cognitive and affective factors in adaptive hypermedia along with psychometric user profiling considerations, WM has a central role in the authors' effort to develop a user information processing model. Encouraged by previous findings, a larger scale study has been conducted with the participation of 230 university students in order to elucidate if it is possible through personalization to increase the performance of learners with lower levels of WM span. According to the results, users with low WM performed better in the personalized condition, which involved segmentation of the web content and aesthetical annotation, while users with medium/high WM span were slightly negatively affected by the same techniques. Therefore, it can by supported it is possible to specifically address the problem of low WM span with significant results. © 2010 Springer-Verlag.en
dc.source18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77954567766&doi=10.1007%2f978-3-642-13470-8_8&partnerID=40&md5=db9ee6284d985e4f7cca978abfe218c4
dc.subjectData processingen
dc.subjectLearning systemsen
dc.subjectWorking memoriesen
dc.subjectIndividual Differencesen
dc.subjectUser Profilingen
dc.subjectHypermedia systemsen
dc.subjectAdaptive Hypermediaen
dc.subjectCognitive Psychologyen
dc.subjectWorking Memoryen
dc.titleWorking memory span and E-learning: The effect of personalization techniques on learners' performanceen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/978-3-642-13470-8_8
dc.description.volume6075 LNCSen
dc.description.startingpage64
dc.description.endingpage74
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Sponsors: User Modeling Inc.en
dc.description.notesACMen
dc.description.notesSIGARTen
dc.description.notesSIGCHIen
dc.description.notesSIGIRen
dc.description.notesConference code: 81040en
dc.description.notesCited By :4</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidLekkas, Zacharias [0000-0003-2049-8187]
dc.gnosis.orcid0000-0003-2049-8187


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