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Language Teachers' Development of Decision‐Making and Pedagogical Reasoning: A Sociocultural Perspective on Peer Coaching.

  • Published In: International Journal of Applied Linguistics, 2025, v. 35, n. 3. P. 1326 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Saeedian, Sam; Ghaderi, Ata; Nguyen, Minh Hue 3 of 3

Abstract

Decision‐making and pedagogical reasoning are two of the underlying skills in language teaching. Integrating sociocultural theory (SCT) into teachers' classroom decisions can be one novel way to inform their decisions with pedagogical reasoning. This study adopted peer coaching as an SCT‐oriented inquiry‐based approach to professional development and drew on the concepts of the zone of proximal development and mediation. Two novice teachers of English participated in the study. The data were collected through documentation, classroom observation, teachers' self‐reflection, and video‐stimulated recall within the context of online teaching during the Covid‐19 pandemic. Conversation analysis and qualitative content analysis of the data showed that the peers scaffolded each other's decisions, actively applying the key tenets of mediation using each other, the video recordings, and the metalanguage they had mastered as mediational resources to achieve their goals in language teacher learning. The findings offer practical implications for teacher educators to implement this mediational approach to professional development in their teacher education programs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Applied Linguistics. 2025/08, Vol. 35, Issue 3, p1326
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2025
  • ISSN:0802-6106
  • DOI:10.1111/ijal.12705
  • Accession Number:187163695
  • Copyright Statement:Copyright of International Journal of Applied Linguistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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