Learning analytics in education : literature review and case examples from vocational education |
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Author: | Gedrimiene, Egle1; Silvola, Anni1; Pursiainen, Jouni2; |
Organizations: |
1Faculty of Education, University of Oulu, Oulu, Finland 2Department of Chemistry, University of Oulu, Oulu, Finland 3The Geography Research Unit of the University of Oulu , University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.6 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019090627071 |
Language: | English |
Published: |
Informa,
2019
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Publish Date: | 2021-02-28 |
Description: |
AbstractVocational education and training (VET) remain overlooked in learning analytics (LA) research. This systematic literature review, using four databases and other sources, was carried out by analyzing selected 60 articles (2012–2017) to study the levels and stages of education that the reviewed LA literature examined. The review indicated that most of the analyzed papers focused on the course level, followed by student and institution levels in higher education. Few empirical studies have addressed LA use during the VET stage, particularly at the governmental level. We also considered ethical concerns and recommendations for further LA development in VET. It is suggested to use LA in knowledge transfer and integration between the classroom and workplace. see all
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Series: |
Scandinavian journal of educational research |
ISSN: | 0031-3831 |
ISSN-E: | 1470-1170 |
ISSN-L: | 0031-3831 |
Volume: | 2020; 64 |
Issue: | 7 |
Pages: | 1105 - 1119 |
DOI: | 10.1080/00313831.2019.1649718 |
OADOI: | https://oadoi.org/10.1080/00313831.2019.1649718 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
516 Educational sciences |
Subjects: | |
Copyright information: |
© 2019 Scandinavian Journal of Educational Research. This is an Accepted Manuscript of an article published by Taylor & Francis in Scandinavian Journal of Educational Research on 29 Aug 2019, available online: http://dx.doi.org/10.1080/00313831.2019.1649718 |