Modelling the Components of Metacognitive Awareness

dc.contributor.authorHeli Kallio
dc.contributor.authorKalle Virta
dc.contributor.authorManne Kallio
dc.contributor.organizationfi=Rauman normaalikoulu|en=Teacher Training School, Rauma|
dc.contributor.organizationfi=opettajankoulutuslaitos (Rauma)|en=Department of Teacher Education (Rauma)|
dc.contributor.organizationfi=opettajankoulutuslaitos (Turku)|en=Department of Teacher Education (Turku)|
dc.contributor.organization-code1.2.246.10.2458963.20.17986072860
dc.contributor.organization-code1.2.246.10.2458963.20.70986245648
dc.contributor.organization-code2604202
dc.converis.publication-id32126174
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/32126174
dc.date.accessioned2022-10-28T13:20:32Z
dc.date.available2022-10-28T13:20:32Z
dc.description.abstractMetacognitive awareness consists of two components, i.e. regulation of cognition and knowledge of cognition. In earlier studies self-evaluation is aligned as a sub-component of regulation of cognition. However, in this study we point out that self-evaluation does not actually regulate the ongoing or forthcoming process but it is a tool used to reflect both knowledge and regulation. This alignment is modelled to assess to what extend self-evaluation can be predicted by the other components of the metacognitive awareness. The model is tested empirically among vocational education students (N=578) using the Metacognitive Awareness Inventory (MAI). The results of SEM concludes that the conditions and goals appointed by the learner predict the selection of contents and strategies towards self-evaluation of one's own learning. In other words, by measuring planning or conditional knowledge we could predict other components of knowledge or regulation and, especially, self-evaluation. The findings of this study extensively confirm that planning and knowledge of conditions predict success through the learning process. The results encourage teachers to support students in improving their metacognitive awareness, i.e. expect them to set goals for their own learning.
dc.format.pagerange122
dc.format.pagerange94
dc.identifier.eissn2014-3591
dc.identifier.olddbid181397
dc.identifier.oldhandle10024/164491
dc.identifier.urihttps://www.utupub.fi/handle/11111/37920
dc.identifier.urnURN:NBN:fi-fe2021042719396
dc.language.isoen
dc.okm.affiliatedauthorKallio, Heli
dc.okm.affiliatedauthorVirta, Kalle
dc.okm.discipline516 Educational sciencesen_GB
dc.okm.discipline516 Kasvatustieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherHIPATIA PRESS
dc.publisher.countrySpainen_GB
dc.publisher.countryEspanjafi_FI
dc.publisher.country-codeES
dc.relation.doi10.17583/ijep.2018.2789
dc.relation.ispartofjournalInternational Journal of Education Psychology
dc.relation.issue2
dc.relation.volume7
dc.source.identifierhttps://www.utupub.fi/handle/10024/164491
dc.titleModelling the Components of Metacognitive Awareness
dc.year.issued2018

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