Literaturnachweis - Detailanzeige
| Autor/in | Schenck, Andrew |
|---|---|
| Titel | Using Meta-Analysis of Technique and Timing to Optimize Corrective Feedback for Specific Grammatical Features |
| Quelle | In: Asian-Pacific Journal of Second and Foreign Language Education, 5 (2020), Artikel 16 (20 Seiten)
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| Zusatzinformation | ORCID (Schenck, Andrew) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2363-5169 |
| DOI | 10.1186/s40862-020-00097-9 |
| Schlagwörter | Grammar; Feedback (Response); Error Correction; Semantics; Morphology (Languages); Syntax; Phonology; Language Proficiency; English Language Learners; English (Second Language); Native Speakers; Korean |
| Abstract | Grammar varies in semantic, morphosyntactic, and phonological complexity, which may influence what type of Corrective Feedback (CF) is effective. The present study was designed to investigate the best form of CF for each grammatical feature, in conjunction with associated variables such as learner proficiency level and L1 influence. Fifteen studies, all of which had English as a Foreign Language (EFL) learners with a Korean L1 and productive measures of speech or writing, were selected for study. Results suggest that grammatical features which are very similar to the L1 may benefit more from implicit reformulations (recasts). Explicit CF (direct and metalinguistic feedback) appears more useful for semantically and syntactically complex features such as the English article and past hypothetical conditional. Finally, research of proficiency level suggests that timely emphasis of specific grammatical features is needed in order for CF to be effective. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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