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The complexity epistemology and ontology in second language acquisition

A critical review

Dados Bibliográficos

ID21506381
AutoresZhaoHong Han (0000-0001-9139-441X, Columbia University, autor correspondente), Eun Young Kang (0000-0003-1407-9349, Kongju National University), Sarah Sok (0009-0000-0595-5998, University of California, Irvine)
Ano2023
Volume45
Fascículo5
Páginas1388-1412
Data de publicação2023-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoStudies in Second Language Acquisition (JOURNAL)
Identificadores do periódicoISSN: 0272-2631 • E-ISSN: 1470-1545
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0272263122000420
OpenAlexW4308147456
IdiomaEN
Citações recebidas8
Referências citadas81

Complex Dynamic Systems Theory (CDST), an instantiation in applied linguistics of complexity epistemology that transcends disciplinary boundaries, has gained much traction and momentum over the last decade, finding expressions in a fast-growing number of empirical second language developmental studies. However, the literature, while rapidly expanding, has displayed much confusion, notably oscillating between invoking CDST as a metatheory and as an object theory. Then, too, the metaphorical genesis of CDST—the metaphorical adoption of complexity epistemology from physical sciences—has seemed to invite miscellaneous interpretations, rendering CDST an ostensibly all-in-one conceptual prism. This article explores the epistemology of CDST, tracing its ontology and examining its role in second language developmental research. This enables a more nuanced understanding of CDST, while at once surfacing critical issues and directions for future research, as it moves toward a pluralistic approach to investigating CDST as a potentially unique lens on second language development

Cognitive science · Confusion · Epistemology · Metatheory · Ontology · Computer Science · EFL/ESL Teaching and Learning · Innovative Teaching and Learning Methods · Philosophy · Psychology · Second Language Learning and Teaching · Artificial Intelligence

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Obras citantes distintas8
Citações por ano2,67
Intervalo de citações2023 - 2026 (4)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 7
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