732
Views
7
CrossRef citations to date
0
Altmetric
Articles

The significance of affordances on teachers’ choices: embedding Japanese across the curriculum in Australian secondary schools

Pages 276-290 | Received 08 Apr 2015, Accepted 10 Aug 2015, Published online: 23 Sep 2015
 

Abstract

In Australia, although content and language integrated learning (CLIL) has been introduced in some mainstream schools, monolingual structures prevail. In this article, I suggest that translanguaging pedagogy may be a useful way of thinking about the integration of language and content in the Australian mainstream context, but that attention initially needs to be paid to affordances, or institutional opportunities and constraints. The qualitative study under discussion in the article investigated affordances associated with teachers’ choices around embedding Japanese across the curriculum in three Government secondary schools. Five teachers were observed using Japanese to teach – or support the teaching of – a subject area and four were interviewed. Significant affordances were found to be curriculum-related school structures, collaboration and CLIL training. Although these affordances differed from school to school, collaborative practices were found in the school structures of all three schools, and CLIL training was found to endow trained teachers with the authority to experiment with language and content integration in different ways.

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.