2,477
Views
40
CrossRef citations to date
0
Altmetric
Articles

Understanding teachers' professional identity and beliefs in the Chinese heritage language school in the USA

, &
Pages 47-60 | Received 05 Apr 2010, Accepted 30 Nov 2010, Published online: 15 Feb 2011
 

Abstract

Heritage language education has come to prominence worldwide. Despite the increasing number of Chinese heritage language learners and Chinese schools in the USA, little attention has been given to teachers. This study investigated three heritage language teachers' professional identity and beliefs about curriculum and instructional practices in a community-based Chinese school. A qualitative multiple case study was employed, and multiple data sources, such as semi-structured interviews, researcher's journals, and teachers' artefacts, were included. Cross-case analysis indicated that these teachers appeared to develop a weak sense of professional identity since they viewed teaching Chinese as a ‘secondary’ and ‘volunteer’ job. Teaching Chinese as a heritage language helped the teachers reconnect language and cultural knowledge. Learning contexts involved dynamic teacher–student interaction, parental support, and cultural-knowledge integration. While these teachers believed that they had a responsibility to develop students' language proficiency, they viewed parents as the people most critical to maintaining students' lifelong learning. This study provides various suggestions for reform in an effort to foster students' learning and promote high-quality Chinese heritage language contexts.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 429.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.