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Instructed Vision: Navigating Grammatical Rules by Using Landmarks for Linguistic Structures in Corrective Feedback Sequences
Stockholm University, Faculty of Social Sciences, Department of Education.ORCID iD: 0000-0001-7562-991X
Number of Authors: 12018 (English)In: The Modern language journal, ISSN 0026-7902, E-ISSN 1540-4781, Vol. 102, p. 11-29Article in journal (Refereed) Published
Abstract [en]

This study aims to show how multimodality, that is, the mobilization of various communicative resources in social actions (Mondada, 2016), can be used to teach grammar. Drawing on ethnomethodological conversation analysis (Sacks, 1992), the article provides a detailed analysis of 2 corrective feedback sequences in a Swedish-as-a-second-language classroom. It shows that teaching grammar using corrective feedback sequences is a collaborative activity between teachers and students, which requires both verbal and other embodied practices. Specifically, it demonstrates how the teachers made grammatical constructs visible, noticeable, and thus learnable through the use of multiple resources such as annotating and illustrating on a whiteboard or projection screen, using concrete meta-talk (Storch, 2008), together with nonverbal actions such as gesturing. The article argues that the practice of marking a linguistic structure through multiple resources creates landmarks' for teaching purposes. These landmarks were used (a) for an instructed vision through which the intelligibility of abstract grammatical concepts and relations as cognitive phenomena is constituted by a concrete set of observable and reportable actions, and (b) as prompts in organizing knowledge not only for the purpose of the current activity of teaching but also for future occasions.

Place, publisher, year, edition, pages
2018. Vol. 102, p. 11-29
Keywords [en]
multimodality, ethnomethodological conversation analysis, corrective feedback sequences, embodiment, teaching grammar, language learning
National Category
Educational Sciences Languages and Literature
Identifiers
URN: urn:nbn:se:su:diva-152583DOI: 10.1111/modl.12452ISI: 000419856600002OAI: oai:DiVA.org:su-152583DiVA, id: diva2:1180687
Available from: 2018-02-06 Created: 2018-02-06 Last updated: 2022-02-28Bibliographically approved

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Majlesi, Ali Reza

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
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