Exploring the professional role identities of English for academic purposes practitioners: a qualitative study.

  • Published In: IRAL: International Review of Applied Linguistics in Language Teaching, 2025, v. 63, n. 2. P. 1295 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Derakhshan, Ali; Karimpour, Sedigheh; Nazari, Mostafa 3 of 3

Abstract

While English for Academic Purposes (EAP) has developed theoretically and empirically over the past decades, there are few documented studies on EAP practitioners' identities. Our study examined 12 Iranian EAP practitioners' role identities (as one type of identity) in light of the conceptualization of English for specific purposes (ESP) practitioner roles. Adopting a qualitative approach, the study revealed the role of various contextual factors shaping the practitioners' role identities as being EAP practitioner agents of transformative education, being a course designer and the quest for needs analysis, being a materials provider and managing the oscillations, being a collaborator and the lack of collegiate connection, being a researcher and dispositional variations, and finally being an evaluator and dynamic assessors. The study provides implications regarding how policy and planning shape practitioners' role identities and suggests future lines of inquiry to build the associated scholarship. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:IRAL: International Review of Applied Linguistics in Language Teaching. 2025/06, Vol. 63, Issue 2, p1295
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0019-042X
  • DOI:10.1515/iral-2023-0126
  • Accession Number:185689917
  • Copyright Statement:Copyright of IRAL: International Review of Applied Linguistics in Language Teaching is the property of De Gruyter 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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