2,289
Views
13
CrossRef citations to date
0
Altmetric
Articles

Understanding university teachers’ beliefs and practice in using English as a medium of instruction

, &
Pages 233-248 | Received 19 Sep 2019, Accepted 09 Jan 2020, Published online: 29 Jan 2020
 

ABSTRACT

This study investigates a group of university teachers’ beliefs and practice in using English as a medium of instruction (EMI) in China. Drawing on data from reflective frames and follow-up interviews, the findings shed light on the complexity and multiplicity of EMI teachers’ beliefs, which directly shape how they engage in EMI teaching in their respective fields. Specifically, the participants formed different types of beliefs about the roles of English and EMI, about EMI teaching and learning, and about university curriculums and policies on EMI. When they tried to implement their beliefs in practice, they were confronted with a range of obstacles including a lack of professional competence as well as the ‘publish-or-perish’ culture in higher education. The study argues for a systematic and incremental approach to designing and promoting EMI teaching with subject-specific and community-based support for EMI teachers.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research is partially supported by The Grant of Research on PBL Teaching Paradigm Guided by 'Inquiry-based Learning' (2018D02), Chongqing University.

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 467.00 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.