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A Revisit to Recast Efficacy in L2 Learning

An Alignment Perspective

Bibliographic Data

ID12114665
AuthorsHu Miao (0009-0001-4379-0415, Jiangxi Normal University, corresponding author), Haiyan Miao (0000-0001-8125-3111, School of Foreign Languages Jiangxi Normal University Nanchang China), Chuming Wang (0000-0003-0527-2024, Center for Linguistics and Applied Linguistics Guangdong University of Foreign Studies Guangzhou China)
Year2024
Volume35
Issue3
Pages1086-1097
Publication date2024-12-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Applied Linguistics (JOURNAL)
Journal identifiersISSN: 0802-6106 • E-ISSN: 1473-4192
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ijal.12679
OpenAlexW4405607485
LanguageEN
References cited31

This study examined recast efficacy in L2 learning from the perspective of alignment. As the hallmark of interaction, alignment facilitates L2 learning when models of linguistic structures proceed and prime subsequent output. This input‐before‐output sequence runs counter to the output‐before‐input array associated with the way of delivering recasts which may induce weaker alignment effects and hence limited recast efficacy. To verify this reasoning, 72 Chinese learners of English were randomly assigned to three interaction modes: output‐first recast group, input‐first alignment group, and meaning‐oriented control. A pretest–posttest‐delayed posttest design was employed to detect improvement in post‐interaction production of ‐ ed , followed by an interview that looked into alignment with ‐ ed during interaction. Results showed that recast and control groups achieved less post‐interaction gains than the alignment group in oral and written production; furthermore, during interaction they demonstrated more content orientation whereas the alignment group showed more aligned language use. These findings suggest that providing input models before output can combine with recast delivery to increase the alignment effect on language learning

Combinatorics · Control (management · Geometry · Group (periodic table · Linguistics · Machine learning · Main effect · Meaning (existential · Natural language processing · Orientation (vector space · Perspective (graphical · Physics · Prime (order theory · Second language · Computer Science · EFL/ESL Teaching and Learning · Language, Metaphor, and Cognition · Mathematics · Philosophy · Psychology · Second Language Acquisition and Learning · Artificial Intelligence

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Highly citedNo

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