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Imagined Communities of Chinese International Graduates in Australia and New Zealand.

  • Published In: International Journal of Applied Linguistics, 2025, v. 35, n. 2. P. 566 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yin, Yijun; Chik, Alice; Falloon, Garry 3 of 3

Abstract

The rapid increase in the number of international graduates seeking employment opportunities in host countries has been accompanied by a corresponding growth in related discourse regarding how international students could successfully benefit from post‐study work visa schemes and whether or not they are 'career‐ready' in local job markets. This study focuses on the linguistic capital among international graduates during their study–work transition processes. The qualitative analysis highlights that international graduates encounter various language‐related challenges during their transitions. However, their increased investment in English could not be simply interpreted as actions to overcome the language‐related challenges that they had encountered but was also for gaining access to their imagined communities, achieving non‐linguistic goals and employment outcomes. The study draws implications for understanding how international graduates could be better accommodated and encouraged to participate in the wider communities in their host countries. This is important knowledge, as enhancing employment outcomes is not only a goal for students pursuing international education but also of critical interest to countries seeking to sustain the international education industry. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Applied Linguistics. 2025/05, Vol. 35, Issue 2, p566
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0802-6106
  • DOI:10.1111/ijal.12637
  • Accession Number:184868205
  • 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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