By Zoltán Dörnyei, Dr. Peter D. MacIntyre, Alastair Henry
This landmark quantity deals a suite of conceptual papers and data-based learn stories that examine the dynamics of language studying motivation from a fancy dynamic platforms standpoint. The chapters search to respond to the query of the way we will comprehend motivation if we understand it as a constantly altering and evolving entity instead of a set learner trait.
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Extra info for Motivational Dynamics in Language Learning
If the learners in our high school class repeatedly perform poorly, confirming their already low self-efficacy beliefs, At trac tor St ates 23 they may choose to exert even less effort, impacting further on their language learning results. Positive feedback generates patterns that are sometimes identified as a vicious cycle – or its happier counterpart, a virtuous cycle. Consistent positive feedback may trap students in a state of learned helplessness wherein they give up altogether. Attractor states offer a location of relative stability for a dynamic system.
Weather patterns that we experience from day to day are an excellent example of this. g. why a tornado formed, why a hurricane veered away from land or how ocean currents affect a summer day). In SLA, the L2 Self System (and the Ideal L2 Self in particular) might be considered a strange attractor state. The competing motivational forces acting simultaneously on the learner will draw the learner’s attitudes At trac tor St ates 27 and behaviours into a dynamic pattern that never exactly repeats itself.
References Abraham, R. and Shaw, D. (1992) Dynamics: The Geometry of Behavior (2nd edn). Redwood City, CA: Addison-Wesley. Bak, P. (1996) How Nature Works: The Science of Self-organized Criticality. New York: Springer-Verlag. Banzhaf, W. (2009) Self-organizing systems. In R. ) Encyclopedia of Complexity and Systems Science (pp. 8040–8050). New York: Springer. , Grigg, N. and Horowitz, P. (2011) Can we learn how complex systems work? Emergence: Complexity & Organization 13 (4), 47–62. Byrne, D. (1998) Complexity Theory and the Social Sciences – An Introduction.