The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Dynamic Systems Theory approach to second language acquisition
Abstract
In this article it is argued that language can be seen as a dynamic system, i.e. a set of variables that interact over time, and that language development can be seen as a dynamic process. Language development shows some of the core characteristics of dynamic systems: 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. The application of tools and instruments developed for the study of dynamic systems in other disciplines calls for different approaches to research, which allow for the inclusion of both the social and the cognitive, and the interaction between systems. There is also a need for dense data bases on first and second language development to enhance our understanding of the fine-grained patterns of change over time. Dynamic Systems Theory is proposed as a candidate for an overall theory of language development.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A dynamic systems model of cognitive and language growth.
van Geert, P. (1991) · Psychological Review · doi:10.1037/0033-295x.98.1.3 · Cited by 464 · cited 3×
“To combine these two developmental curves, Robinson and Mervis use a PRECURSOR MODEL as proposed by Van Geert (1995). In a precursor model, there are two variables, a predecessor and a successor.”
Method
Cited by
Larsen-Freeman, D. (2006) · Applied Linguistics · doi:10.1093/applin/aml029 · Cited by 805
Introducing positive psychology to SLA
Mercer, S., & MacIntyre, P. D. (2014) · Studies in Second Language Learning and Teaching · doi:10.14746/ssllt.2014.4.2.2 · Cited by 523
Macintyre, P. D., & Legatto, J. J. (2011) · Applied Linguistics · doi:10.1093/applin/amq037 · Cited by 455
Research methodology on language development from a complex systems perspective
FREEMAN, D. L., & CAMERON, L. (2008) · The Modern Language Journal · doi:10.1111/j.1540-4781.2008.00714.x · Cited by 363
The Motion of Emotion: Idiodynamic Case Studies of Learners' Foreign Language Anxiety
Gregersen, T., Macintyre, P. D., & Meza, M. D. (2014) · The Modern Language Journal · doi:10.1111/modl.12084 · Cited by 335
Metadata
- Authors
- DE BOT, K., LOWIE, W., & VERSPOOR, M.
- Venue
- Bilingualism: Language and Cognition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2007-03
- Volume
- 10
- Issue
- 1
- Pages
- 7-21
- ISSN
- 1366-7289 (ISSN-L)
- 1469-1841
- OpenAlex
- W2101714982
- Cited by
- 1,242
- References
- 1
- FWCI
- 163.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
