Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52689
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dc.contributor.authorProdromou, Theodosiaen
dc.date.accessioned2022-06-27T04:28:05Z-
dc.date.available2022-06-27T04:28:05Z-
dc.date.issued2021-
dc.identifier.citationv.13en
dc.identifier.isbn9783030768416en
dc.identifier.isbn9783030768409en
dc.identifier.isbn9783030768430en
dc.identifier.issn2543-0289-
dc.identifier.issn2543-0297-
dc.identifier.urihttps://hdl.handle.net/1959.11/52689-
dc.description.abstract<p>This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education.</p><p> As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically.</p><p> The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information.</p><p> <i>This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data.</i> This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications. </p>en
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofseriesPolicy Implications of Research in Educationen
dc.relation.isversionof1en
dc.titleBig Data in Education: Pedagogy and Researchen
dc.typeBooken
dc.identifier.doi10.1007/978-3-030-76841-6en
local.contributor.firstnameTheodosiaen
local.profile.schoolSchool of Educationen
local.profile.emailtprodrom@une.edu.auen
local.output.categoryA3en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeCham, Switzerlanden
local.format.pages247en
local.series.issn2543-0297-
local.series.issn2543-0289-
local.series.number13en
local.peerreviewedYesen
local.title.subtitlePedagogy and Researchen
local.contributor.lastnameProdromouen
local.seriespublisherSpringeren
local.seriespublisher.placeSwitzerlanden
dc.identifier.staffune-id:tprodromen
local.profile.orcid0000-0002-0685-7756en
local.profile.roleeditoren
local.identifier.unepublicationidune:1959.11/52689en
dc.identifier.academiclevelAcademicen
local.title.maintitleBig Data in Educationen
local.output.categorydescriptionA3 Book - Editeden
local.search.authorProdromou, Theodosiaen
local.uneassociationYesen
local.atsiresearchNoen
local.isrevisionNoen
local.sensitive.culturalNoen
local.year.published2021-
local.subject.for2020390102 Curriculum and pedagogy theory and developmenten
local.subject.for2020390402 Education assessment and evaluationen
local.subject.seo2020160102 Higher educationen
local.profile.affiliationtypeUnknownen
local.relation.worldcathttp://www.worldcat.org/oclc/1247667220en
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School of Education
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