A Revisit to Recast Efficacy in L2 Learning: An Alignment Perspective

ABSTRACT 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.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Linguistics
Published
2024-12-18
DOI
https://doi.org/10.1111/ijal.12679
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Revisit to Recast Efficacy in L2 Learning: An Alignment Perspective

Chuming Wang, Hu Miao
International Journal of Applied Linguistics
EFL/ESL Teaching and Learning
article

A Revisit to Recast Efficacy in L2 Learning: An Alignment Perspective

Chuming Wang, Hu Miao
article en

Abstract

ABSTRACT 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.

International Journal of Applied LinguisticsVol. 35(3)
Guangdong University of Foreign Studies (CN), Jiangxi Normal University (CN)
Jiangxi Normal University
Quality Education
Openalex Percentile: Top 59%
EFL/ESL Teaching and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Revisit to Recast Efficacy in L2 Learning: An Alignment Perspective — Chuming Wang, Hu Miao · International Journal of Applied Linguistics (2024) | TGRS Research Map | TGRS