A1 Journal article (refereed)
Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation (2022)
Moeller, J., Viljaranta, J., Tolvanen, A., Kracke, B., & Dietrich, J. (2022). Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation. Learning and Instruction, 81, Article 101653. https://doi.org/10.1016/j.learninstruc.2022.101653
JYU authors or editors
Publication details
All authors or editors: Moeller, Julia; Viljaranta, Jaana; Tolvanen, Asko; Kracke, Bärbel; Dietrich, Julia
Journal or series: Learning and Instruction
ISSN: 0959-4752
eISSN: 1873-3263
Publication year: 2022
Volume: 81
Article number: 101653
Publisher: Elsevier BV
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1016/j.learninstruc.2022.101653
Publication open access: Openly available
Publication channel open access: Partially open access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/82787
Abstract
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.
Keywords: learning; expectations; motivation (mental objects); learning results; school achievements; self image; self-efficacy; performance (coping); models (objects); learning theories
Free keywords: situated expectancy-value model; dynamical systems; experience sampling; time series; autoregressive model
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2022
JUFO rating: 3