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dc.contributor.authorMoeller, Julia
dc.contributor.authorViljaranta, Jaana
dc.contributor.authorTolvanen, Asko
dc.contributor.authorKracke, Bärbel
dc.contributor.authorDietrich, Julia
dc.date.accessioned2022-08-24T12:19:17Z
dc.date.available2022-08-24T12:19:17Z
dc.date.issued2022
dc.identifier.citationMoeller, J., Viljaranta, J., Tolvanen, A., Kracke, B., & Dietrich, J. (2022). Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation. <i>Learning and Instruction</i>, <i>81</i>, Article 101653. <a href="https://doi.org/10.1016/j.learninstruc.2022.101653" target="_blank">https://doi.org/10.1016/j.learninstruc.2022.101653</a>
dc.identifier.otherCONVID_150909941
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82787
dc.description.abstractThis article introduces a new theoretical and psychometric framework describing moment-to-moment development and inter-dependencies of achievement motivation in terms of the situated expectancy-value theory, by introducing dynamical systems concepts into this line of research. As a first empirical example of a study using this framework, we examined whether task values, costs, and success expectancies measured in a learning situation (time point t) predicted themselves and each other at the next situation (t + 1; 27 min later) within a weekly university lecture. Situational task values, expectancies, and costs were assessed using the experience sampling method in 155 university teacher training students during weekly lectures for one semester, with three surveys during each weekly lesson. Data were analyzed with multilevel cross-lagged structural equation models. There were significant auto-regressions from one learning situation to the next in success expectancies and effort costs, but not in intrinsic, utility, or attainment value nor emotional or opportunity costs. There were no significant cross-lagged effects from one situation to the next in any of the measured situated expectancy-value components. As a framework to integrate dynamical systems concepts into the research on situated learning motivation, we expect the proposed DYNAMICS framework to have a substantial impact on further theory development.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesLearning and Instruction
dc.rightsCC BY 4.0
dc.subject.otherodotusarvoteoria
dc.subject.othersaavutusmotivaatioteoria
dc.subject.othersituated expectancy-value model
dc.subject.otherdynamical systems
dc.subject.otherexperience sampling
dc.subject.othertime series
dc.subject.otherautoregressive model
dc.titleIntroducing the DYNAMICS framework of moment-to-moment development in achievement motivation
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202208244320
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0959-4752
dc.relation.volume81
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 the Authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysoodotukset
dc.subject.ysooppimistulokset
dc.subject.ysooppiminen
dc.subject.ysomotivaatio
dc.subject.ysosuoriutuminen
dc.subject.ysokoulusaavutukset
dc.subject.ysominäpystyvyys
dc.subject.ysominäkuva
dc.subject.ysooppimisteoriat
dc.subject.ysomallit (mallintaminen)
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p820
jyx.subject.urihttp://www.yso.fi/onto/yso/p8587
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p4734
jyx.subject.urihttp://www.yso.fi/onto/yso/p10270
jyx.subject.urihttp://www.yso.fi/onto/yso/p8584
jyx.subject.urihttp://www.yso.fi/onto/yso/p39320
jyx.subject.urihttp://www.yso.fi/onto/yso/p267
jyx.subject.urihttp://www.yso.fi/onto/yso/p21683
jyx.subject.urihttp://www.yso.fi/onto/yso/p510
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.learninstruc.2022.101653
jyx.fundinginformationThis work was funded by a Jacobs Foundation Early Career Research Fellowship and a FlexiFond award by Leipzig University to Julia Moeller, a grant by the German Research Foundation (DFG; #451682742) to Julia Moeller and Julia Dietrich, a ProChance grant from the University of Jena to Julia Dietrich, and a grant from the Academy of Finland to Jaana Viljaranta (#316852).
dc.type.okmA1


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