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dc.contributor.authorde Sousa, Erverson B. G.
dc.contributor.authorAlexandre, Bruno
dc.contributor.authorFerreira Mello, Rafael
dc.contributor.authorPontual Falcão, Taciana
dc.contributor.authorVesin, Boban
dc.contributor.authorGašević, Dragan
dc.date.accessioned2022-01-07T12:11:21Z
dc.date.available2022-01-07T12:11:21Z
dc.date.created2021-11-05T12:23:25Z
dc.date.issued2021
dc.identifier.citationde Sousa, E. B. G., Alexandre, B., Ferreira Mello, R., Pontual Falcão, T., Vesin, B. & Gašević, D. (2021). Applications of Learning Analytics in High Schools: A Systematic Literature Review. Frontiers in Artificial Intelligence, 4, Artikkel 737891.en_US
dc.identifier.issn2624-8212
dc.identifier.urihttps://hdl.handle.net/11250/2836499
dc.description.abstractLearning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher education. However, little of the research in learning analytics targets other educational levels, such as high school. This paper reports the results of a systematic literature review (SLR) focused on the adoption of learning analytics in high schools. More specifically, the SLR followed four steps: the search, selection of relevant studies, critical assessment, and the extraction of the relevant field, which included the main goals, approaches, techniques, and challenges of adopting learning analytics in high school. The results show that, in this context, learning analytics applications are focused on small-scale initiatives rather than institutional adoption. Based on the findings of this study, in combination with the literature, this paper proposes future directions of research and development in order to scale up learning analytics applications in high schools.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleApplications of learning analytics in High Schools: A systematic literature reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 Sousa, Alexandre, Ferreira Mello, Pontual Falcão, Vesin and Gašević.en_US
dc.source.volume4en_US
dc.source.journalFrontiers in Artificial Intelligenceen_US
dc.identifier.doihttps://doi.org/10.3389/frai.2021.737891
dc.identifier.cristin1951753
dc.source.articlenumber737891en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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