JOURNAL ARTICLE
International students as language managers: Self-managing linguistic insecurity in Australian higher education.
Published In: Australian Review of Applied Linguistics, 2025, v. 48, n. 2. P. 248 1 of 3
Database: Communication Source 2 of 3
Authored By: Zhang, Xiaoyi; Hamid, M. Obaidul 3 of 3
Abstract
Many studies have reported language problems faced by international students in cross-cultural study-abroad settings. The present study investigated Chinese international students' linguistic insecurity during their study-abroad in Australia, and the strategies that they deployed to manage this. Based on interviews with ten students from two different international programs, we found that the students felt anxious and insecure about their language ability in the English-only environment, which provided limited support for their academic and social survival. Moreover, their other linguistic resources remained unrecognized in the prevailing discourse of standardized English with its concomitant linguistic and social prejudices. Realizing that linguistic insecurity was affecting their study, life, and wellbeing, they implemented a series of measures and strategies to manage their language problems and achieve a sense of linguistic security. The findings can assist international students in developing an understanding of their language life in study-abroad settings, and education institutions in providing appropriate support to international students to enhance their linguistic security in the host society. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Australian Review of Applied Linguistics. 2025/05, Vol. 48, Issue 2, p248
- Document Type:Article
- Subject Area:Education
- Publication Date:2025
- ISSN:0155-0640
- DOI:10.1075/aral.23062.zha
- Accession Number:184948747
- Copyright Statement:Copyright of Australian Review of Applied Linguistics is the property of John Benjamins Publishing Co. 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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