Foreign language motivation has been theoretically conceptualized as a multidimensional and dynamically interacting construct. Yet empirical research, despite growing attention to motivational dynamics over short and long timescales, has rarely unpacked how its interconnected dimensions co-evolve through complex, reciprocal interactions to shape distinct motivational trajectories. To address this, we adopted complex dynamic systems approach and used an innovative research method by integrating the Experience Sampling Method, Time Series Analysis and Social Network Analysis to track 30 college students' EFL motivational dynamics across a semester. Analyses of multi-time point and multi-source data revealed that motivation exhibited characteristics of a complex dynamic system, including non-linearity, elemental heterogeneity, self organization, and emergence. The interaction among cognition, affect, and context shaped divergent motivational trajectories, resulting in the identification of three distinct patterns: moderate motivation with fluctuations, stable high motivation, and low motivation with abnormal fluctuations. Specifically, positive emotions combined with cognitive learning gains formed stable, interference-resistant attractor states, whereas negative emotions coupled with contextual disruptions triggered motivational collapse. These findings demonstrated a dynamic, contextualized perspective, emphasizing motivation's emergent, context-dependent, and interconnected nature, offering a flexible, realistic framework for understanding and intervening in foreign language motivation which aligns with real-world learning processes.
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Qi Xue
Bo Hu
Macau University of Science and Technology
Hodges University
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Xue et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69fa979b04f884e66b531742 — DOI: https://doi.org/10.1016/j.actpsy.2026.106936