252
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Multiple layers of marginalisation in class: English-medium instruction in Korean higher education

ORCID Icon & ORCID Icon
Received 02 Mar 2022, Accepted 31 Oct 2022, Published online: 22 Nov 2022
 

ABSTRACT

The purpose of this study is to understand marginalisation in class because of language use in English-medium instruction (EMI) in Korean higher education and how students experience this marginalisation. The general EMI setting in this study is Korean faculty teaching Korean undergraduate students and some international students in English. The Korean students in this study took EMI classes as a requirement for graduation at two elite private universities in Seoul, Korea. The findings from the analysis of qualitative data collected through individual interviews show that the adoption of EMI creates multiple layers of marginalisation. These layers include the marginalisation of students, languages (both Korean and English), and learning. On the basis of these findings, the article raises questions about the normalisation of marginalisation caused by EMI in higher education systems in non-English-speaking countries.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Hankuk University of Foreign Studies Research Fund (20221420001). Data collection of this study was supported by Higher Education Policy Research Institute, Korea University (RR2012-03).

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 265.00 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.