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Model text as corrective feedback in L2 writing

The Role of Working Memory and Vocabulary Size

Bibliographic Data

ID7802041
AuthorsSyed Muhammad Mujtaba (0000-0003-3938-1974, Bahria University), Tiefu Zhang (0000-0002-6184-1204, School of Foreign Languages , University of Electronic Science and Technology of China 12599 , Chengdu , China, corresponding author), Shiman Mao (Faculty of Arts and Social Science , The University of Sydney 4334 , Sydney , Australia), Shiman Shae Mao (The University of Sydney), Nisar Ahmed (0009-0002-9296-8512, 66833 Iqra University , Karachi , Pakistan)
Year2025
Volume63
Issue4
Pages2409-2440
Publication date2025-11-25
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueIRAL - International Review of Applied Linguistics in Language Teaching (JOURNAL)
Journal identifiersISSN: 0019-042X • E-ISSN: 1613-4141
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/iral-2023-0242
OpenAlexW4394618685
LanguageEN
Citations received3
References cited100

Recent research highlights model texts as a form of written corrective feedback (WCF) for enhancing L2 writing skills. This study, conducted at a South Asian university, assessed the impact of model texts on the argumentative writing skills of 71 undergraduate ESL students. Divided into treatment and control groups, assessments at various stages employed an analytic rubric and CALF metrics (complexity, accuracy, fluency, lexical richness). Additionally, regression analysis was used to gauge the effect of working memory capacity (WMC) and vocabulary size on the success of the method. The findings revealed that the treatment group exhibited significant improvements, particularly in vocabulary use and structural aspects of their writing. Both WMC and vocabulary size were found to influence the efficacy of model texts. This study underscores the potential of model texts in WCF and highlights the role of individual learner attributes in determining its effectiveness

Cognition · Cognitive psychology · Corrective Feedback · Linguistics · Mathematics education · Second language · Second language writing · Vocabulary · Working memory · Computer Science · EFL/ESL Teaching and Learning · Lexicography and Language Studies · Psychology · Second Language Acquisition and Learning

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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