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Big data emerging technology: Insights into innovative environment for online learning resources

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dc.citedby48
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.affiliationsSekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Pringsewu
dc.contributor.affiliationsUniversitas Sarjanawiyata Taman Siswa
dc.contributor.affiliationsUniversitas Islam Negeri Sunan Kalijaga
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorHuda M.en_US
dc.contributor.authorMaseleno A.en_US
dc.contributor.authorAtmotiyoso P.en_US
dc.contributor.authorSiregar M.en_US
dc.contributor.authorAhmad R.en_US
dc.contributor.authorJasmi K.A.en_US
dc.contributor.authorMuhamad N.H.N.en_US
dc.contributor.authorMustari M.I.en_US
dc.contributor.authorBasiron B.en_US
dc.date.accessioned2024-05-28T08:28:47Z
dc.date.available2024-05-28T08:28:47Z
dc.date.issued2018
dc.description.abstractAttempts to adopt the network data massively from the social media refer to provide the particular means in extracting the value from information space such as message, conversation, transaction and others, where the sources of structured data come from enterprise resources data and sources of unstructured data come from audio and video. It can be achieved to expand the process of extracting the value from social network to pattern the data sources to fulfil the organisation goal. This paper aims to reveal the way of big data approach in extracting data value from data complexity involving variety and velocity into the volume. This study was conducted using contents analysis by reviewing some literatures in peer-reviewed journals, chapters, books and proceedings in developing prototype using data analytics associated from the topic, users and time analytics. The findings reveal that big data emerging technology with analytic process provides particular advantages to transform the pattern of information fitted into the innovative environment of online learning resources (OLR) to enhance in developing the learning resources. Both prototype and model of data extraction value could be enhanced to facilitate the learning environment in supporting implementations with ease and convenience. This study is expected to contribute to improve the learning environment and outcomes with performance and achievement by enhancing students' learning process development to provide online resources in higher education context.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3991/ijet.v13i01.6990
dc.identifier.epage36
dc.identifier.issn18688799
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85040828939
dc.identifier.spage23
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040828939&doi=10.3991%2fijet.v13i01.6990&partnerID=40&md5=032f7aaa8323dcc795a808b213256526
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8872
dc.identifier.volume13
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherKassel University Press GmbHen_US
dc.relation.ispartofOpen Accessen_US
dc.relation.ispartofInternational Journal of Emerging Technologies in Learning
dc.sourceScopus
dc.subjectBig Dataen_US
dc.subjectData analyticsen_US
dc.subjectEase and convenienceen_US
dc.subjectHigher educationen_US
dc.subjectInnovative environmenten_US
dc.subjectOnline learningen_US
dc.subjectOnline learning resources (OLR)en_US
dc.titleBig data emerging technology: Insights into innovative environment for online learning resourcesen_US
dc.title.alternativeInt. J. Emerg. Technol. Learn.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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