What types of data are used in learning analytics? An overview of six cases.
Abstract The rapid development of learning analytics makes it difficult for the readership of research literature to gain a structured overview over the different types of data available and subject to the application of learning analytics techniques or methods. This special issue reunites six examp...
| Publicado en: | Computers in Human Behavior Vol. 89; pp. 335 - 339 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=132529857&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 132529857 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Dec2018 vid: 89 pid: 2410 pub: Elsevier B.V. artinfo: ui: 132529857 10.1016/j.chb.2018.07.038 ppf: 335 ppct: 4 formats: tig: atl: What types of data are used in learning analytics? An overview of six cases. aug: au: Nistor, Nicolae Hernández-Garcíac, Ángel affil: Faculty of Psychology and Educational Sciences, Ludwig-Maximilians-Universität, München, Germany Richard W. Riley College of Education and Leadership, Walden University, USA Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, Universidad Politécnica, Madrid, Spain su: Internet Conceptual structures Eye movements Learning strategies sug: subj: Internet Wired Telecommunications Carriers Internet Publishing and Broadcasting and Web Search Portals Conceptual structures Eye movements Learning strategies keyword: Automated dialog analysis Data types Eye tracking Learning analytics Log data analysis Visual learning analytics Automated dialog analysis Data types Eye tracking Learning analytics Log data analysis Visual learning analytics ab: Abstract The rapid development of learning analytics makes it difficult for the readership of research literature to gain a structured overview over the different types of data available and subject to the application of learning analytics techniques or methods. This special issue reunites six examples of application of different learning analytics approaches using various data types, aiming to achieve different goals, and employing different instruments and methods: eye tracking, automated online dialog analysis, survey data from school ecosystems, log data analysis at individual and collaborative level, and visual learning analytics applied to Internet-of-Things data. These case studies are provided in the framework of the observed process–data–transformation–analysis–output pattern of practices. Brief conclusions pertaining to advantages, limitations and future work are drawn. Highlights • Actual learning analytics developments call for an overview over data types. • The special issue reunites six examples of learning analytics approaches. • A pattern of practices framework is proposed and discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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