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A dynamic usage-based analysis of L2 written complexity development of sojourners

Bibliographic Data

ID21636340
AuthorsZeynep Köylü (0000-0003-1236-4242, University of Basel, corresponding author), Nurullah Eryılmaz (0000-0003-1916-8295, University of Bath), Carmen Pérez‐vidal (0000-0002-7180-1978, Universitat Pompeu Fabra), Carmen Pérez-Vidal
Year2023
Volume60
Pages101002
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Second Language Writing (JOURNAL)
Journal identifiersISSN: 1060-3743 • E-ISSN: 1873-1422
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jslw.2023.101002
OpenAlexW4377293122
LanguageEN
Citations received5
References cited33

Studies exploring complexity, accuracy, and fluency (CAF) development from a complex dynamic or dynamic usage-based (DUB) systems view are well documented in the literature (Verspoor et al., 2021). However, the analyses in these studies are mostly limited to elementary to intermediate level L2 learners from instructed secondary school settings. The current study thus investigates the relationship between time and holistic judgments of proficiency and syntactic and lexical complexity development in the writings of a group of advanced sojourners during a semester spent abroad, addressing the empirical gaps pertained to different proficiency levels and context. The data are weekly diary entries produced over the course of a 12–17 week stay abroad. The data are analyzed for holistic proficiency gains and syntactic and lexical complexity measures through linear mixed-effects modelling. The results confirm the significance of random individual variation, but also suggests a common developmental path as the participants ended up with significant gains in their holistic proficiency but with more elaborate sentences with fewer verb phrases and less diverse vocabulary

Fluency · Linguistics · Mathematics education · Syntax · Vocabulary · Computer Science · EFL/ESL Teaching and Learning · Psychology · Second Language Acquisition and Learning · Second Language Learning and Teaching · Artificial Intelligence

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Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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