“System Structures of DST approach to SLA”

Based on this article, language can be seen as a dynamic system. Language that have some core characteristics of dynamic systems such as sensitive dependence on initial conditions, complete interconnectedness of subsystems, the emergence of attractor states in development over time and variation both in and among individuals. Dynamic system developed other disciplines calls for different approaches research that allows the inclusion of both the social and the cognitive, and the interaction between systems. Language development helps us to enhance our understanding of the fine-grained patterns of change over time. Dynamic systems are nested in the sense that every system is always part of another system, going from submolecular particles to the universe, with the same dynamic principles operating at all levels. Dynamic System serves as the system of this article.

As develop over time, dynamic sub-systems appear to settle in specific states, so-called ATTRACTOR STATES, which are preferred but not necessarily predictable. States that are clearly not preferred are so-called REPELLER STATES. Those are both highly dependent on their initial state though systems are constantly changing. They develop through interaction with their environment and through self-reorganisation. Because subsystems are constantly in flow, they will show variation, which makes them sensitive to specific input at a given point in time and some other input at another point in time.

The major property of a Dynamic System is change over time. This article is a view of language systems, is that there is no need for a pre-existing Universal Grammar in the mind of any individual, but that a human disposition for language learning is required. Language serves as the suprasystem.

The boundaries of this article is to explain how DST has developed, what some of its main characteristics are, how it has been applied to human and non-human communication, and how several common SLA features could be reinterpreted from a DST perspective.

The present article is an attempt to apply some DST concepts to SLA. We have argued that for some of the core issues in SLA, and the equifinality of this article is that the DST approach may help us develop a more realistic idea of what goes on in the learner’s mind than other theories have done so far.

Lastly, I considered the article “A Dynamic Systems Theory approach to Second Language Acquisition” as an open system. It has freedom to collect data and feedbacks such as in enviromental factors and language development researches. Most importantly, it gathered the data with a more open mind.

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