GR Semicolon EN

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dc.contributor.author
Sgagia, Sofia
en
dc.date.accessioned
2019-03-13T10:28:45Z
dc.date.available
2019-03-14T01:00:18Z
dc.date.issued
2019-03-13
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29254
dc.rights
Default License
dc.subject
Social learning networks
en
dc.title
Collaborative analytics and recommendations in social learning networks
en
heal.type
masterThesis
en_US
heal.creatorID.email
sgagia.sofia@gmail.com
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in e-Business and Digital Marketing
en_US
heal.publicationDate
2019-03-13
heal.abstract
This dissertation was written as a part of the MSc in E-Business and Digital Marketing at the International Hellenic University. Collaborative analytics were thoroughly examined in the context of an unofficial learning social network and insight into how actual users coexist a cooperate online was gained. The aim of this thesis was also to highlight the semantic technologies and propose a schema that encapsulates semantically enriched data along with data that derive from learners’ online interactions in order to leverage users experience by exploiting the whole spectrum of learning activities and adding a new sense to practices that already take place.
en
heal.advisorName
Magnisalis, Ioannis
en
heal.committeeMemberName
Magnisalis, Ioannis
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US
heal.numberOfPages
45
en_US


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