Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation
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
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Learning and InstructionDate
2022Copyright
© 2022 the Authors
This 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.
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Additional information about funding
This 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).License
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