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dc.contributor.authorXie, H
dc.contributor.authorZou, D
dc.contributor.authorWang, TL
dc.contributor.authorWang, FL
dc.date.accessioned2019-10-25T03:12:18Z
dc.date.available2019-10-25T03:12:18Z
dc.date.created2017-08-14 23:04
dc.date.issued2017-07-27
dc.identifieroai:ira.lib.polyu.edu.hk:10397/67995
dc.identifierIn YT Wu, M Chang, B Li, TW Chan, SC Kong, HCK Lin, HC Chu, M Jan, MH Lee, Y, Dong, KH Tse, TL Wong & P Li (Eds.). Conference Proceedings of the 20th Global Chinese Conference on Computers in Education 2016, p. 684-687. Hong Kong: The Hong Kong Institute of Education, 2016
dc.identifierhttp://hdl.handle.net/10397/67995
dc.identifier684
dc.identifier687
dc.identifier2015000927
dc.identifier.urihttp://hdl.handle.net/20.500.12424/1267213
dc.description.abstractContextual data of learners play a vital role in various e-learning applications in recent years, as learning contexts not only provide learners with context-aware services but also enhance effectiveness. However, various e-learning systems adopt different contextual models (i.e., application-dependent contextual model), and consequently data sharing and system integration are challenging. In this article, we propose a unified learning context framework to support heterogeneous e-learning applications. This context framework, being versatile and flexible to various e-learning applications, can address the shortcoming of application-dependent models. Within the framework, we define a set of contextual operations to manipulate and customize the learning context data. The proposed context framework can support various context-aware e-learning applications. Through the case studies, we also verify that the proposed framework is very flexible and powerful in different scales.
dc.description.abstractEnglish Language Centre
dc.description.abstractRefereed conference paper
dc.languageen
dc.language.isoeng
dc.publisherHong Kong Institute of Education
dc.publisherHong Kong
dc.relation.ispartofGlobal Chinese Conference on Computers in Education
dc.subjectContext model
dc.subjectE-learning systems
dc.subjectSemantic operations
dc.subjectLearning context
dc.subjectConceptual framework
dc.titleA versatile learning context framework for heterogeneous e-Learning applications
dc.typeConference Paper
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:10970784
ge.identifier.permalinkhttps://www.globethics.net/gel/10970784
ge.lastmodificationdate2017-08-14 23:04
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid149104
ge.oai.repositoryid2942
ge.oai.setnameResearch Output
ge.oai.setnameConference Paper
ge.oai.setspeccom_10397_8
ge.oai.setspeccol_10397_7701
ge.oai.streamid2
ge.setnameGlobeEthicsLib
ge.setspecglobeethicslib
ge.linkhttp://hdl.handle.net/10397/67995


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