JOURNAL ARTICLE

"I want my children to become global citizens": The role of a heritage language in appreciation of citizenship status in young Korean Australian children and their parents.

  • Published In: Australian Review of Applied Linguistics, 2023, v. 46, n. 2. P. 164 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Joo, Sun Jung; Chik, Alice; Djonov, Emilia 3 of 3

Abstract

Increasing globalisation has spurred a flow of migrants worldwide. These movements include exchanges of migrants' linguistic repertoires across regions, transforming the ways in which they define themselves in a multilingual society. Unlike identity categories such as ethnic identity, the contested concept of citizenship identity has remained underexplored in heritage language (HL) research. Focusing on Korean migrant families in Australia, this study extends the limited knowledge about the roles of citizenship in HL maintenance across different generations. Specifically, drawing on interviews with six Korean-speaking parents and their children, this study compares the ways in which migrant parents and their primary and secondary school-aged children relate a HL to their citizenship status. Thematic analysis reveals that while HL-speaking children tend to associate their language with national or ethnic identities, migrant parents are more likely to identify their children as global citizens whose HL competencies are essential for their future career and economic advantage. The study contributes to scholarship at the intersection of HL, citizenship, and globalisation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Australian Review of Applied Linguistics. 2023/05, Vol. 46, Issue 2, p164
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2023
  • ISSN:0155-0640
  • DOI:10.1075/aral.22035.joo
  • Accession Number:171965228
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.