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dc.contributor.authorJääskelä, Päivikki
dc.contributor.authorHeilala, Ville
dc.contributor.authorKärkkäinen, Tommi
dc.contributor.authorHäkkinen, Päivi
dc.date.accessioned2020-04-21T12:55:51Z
dc.date.available2020-04-21T12:55:51Z
dc.date.issued2021
dc.identifier.citationJääskelä, P., Heilala, V., Kärkkäinen, T., & Häkkinen, P. (2021). Student agency analytics : learning analytics as a tool for analysing student agency in higher education. <i>Behaviour and Information Technology</i>, <i>40</i>(8), 790-808. <a href="https://doi.org/10.1080/0144929X.2020.1725130" target="_blank">https://doi.org/10.1080/0144929X.2020.1725130</a>
dc.identifier.otherCONVID_34610505
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68635
dc.description.abstractThis paper presents a novel approach and a method of learning analytics to study student agency in higher education. Agency is a concept that holistically depicts important constituents of intentional, purposeful, and meaningful learning. Within workplace learning research, agency is seen at the core of expertise. However, in the higher education field, agency is an empirically less studied phenomenon with also lacking coherent conceptual base. Furthermore, tools for students and teachers need to be developed to support learners in their agency construction. We study student agency as a multidimensional phenomenon centring on student-experienced resources of their agency. We call the analytics process developed here student agency analytics, referring to the application of learning analytics methods for data on student agency collected using a validated instrument. The data are analysed with unsupervised and supervised methods. The whole analytics process will be automated using microservice architecture. We provide empirical characterisations of student-perceived agency resources by applying the analytics process in two university courses. Finally, we discuss the possibilities of using agency analytics in supporting students to recognise their resources for agentic learning and consider contributions of agency analytics to improve academic advising and teachers' pedagogical knowledge.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.ispartofseriesBehaviour and Information Technology
dc.rightsIn Copyright
dc.subject.otherstudent agency
dc.subject.otherlearning analytics
dc.subject.otherrobust statistics
dc.titleStudent agency analytics : learning analytics as a tool for analysing student agency in higher education
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202004212844
dc.contributor.laitosKoulutuksen tutkimuslaitosfi
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFinnish Institute for Educational Researchen
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineKasvatustiedefi
dc.contributor.oppiaineEducationen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange790-808
dc.relation.issn0144-929X
dc.relation.numberinseries8
dc.relation.volume40
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 Taylor & Francis
dc.rights.accesslevelopenAccessfi
dc.subject.ysoopiskelijat
dc.subject.ysotoimijuus
dc.subject.ysooppiminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p16486
jyx.subject.urihttp://www.yso.fi/onto/yso/p2335
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1080/0144929X.2020.1725130
jyx.fundinginformationNo funding information.


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