Education and Learning in the Semantic Web

dc.cclicenceN/Aen
dc.contributor.authorKasimati, A. E.en
dc.contributor.authorZamani, Efpraxia D.en
dc.date.acceptance2011en
dc.date.accessioned2016-04-27T14:37:20Z
dc.date.available2016-04-27T14:37:20Z
dc.date.issued2011
dc.description.abstractWeb 3.0, also known as the Semantic Web, promises to revolutionize the way learning is delivered over the internet. In this paper, we discuss how the underlying technological elements of the semantic web combine to add intelligence to web-based, desktop or mobile, education and learning. We moreover present three types of semantic web applications for education, namely learning objects, learning object repositories and pedagogical agents, and critically appraise their contribution to learners and instructors like. Our work offers a systematic taxonomy of the current state-ofthe- art along with the relevant future research challenges in the field and an objective assessment of the critical aspects for the successful integration of semantic web applications in learning, aiming to assist researchers in positioning their future work and contribution in the area.en
dc.funderN/Aen
dc.identifier.citationKasimati, A. and Zamani, E.D. (2011) Education and Learning in the Semantic Web. Proceedings of the 15th Panhellenic Conference on Informatics (PCI 2011), 30 September - 2 October, Kastoria, Greeceen
dc.identifier.isbn9780769543895
dc.identifier.urihttp://hdl.handle.net/2086/12025
dc.language.isoen_USen
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisher15th Panhellenic Conference on Informatics (PCI 2011)en
dc.researchgroupCentre for Computing and Social Responsibilityen
dc.researchinstituteCentre for Computing and Social Responsibility (CCSR)en
dc.subjectsemantic weben
dc.subjecte-learningen
dc.subjectenhanced learningen
dc.subjectpersonalised learningen
dc.titleEducation and Learning in the Semantic Weben
dc.typeConferenceen

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description: