265
Views
2
CrossRef citations to date
0
Altmetric
Articles

Perceptions of Taiwanese nursing students’ English-language progression following interactive scenario development and role play

, &
Pages 590-601 | Received 15 Jun 2015, Accepted 23 Apr 2016, Published online: 20 May 2016
 

Abstract

Background: The English language has been recognised as an international language, enabling the globalisation of education and work opportunities. An institute in Taiwan has committed to strengthening English teaching by implementing a student-centred teaching and learning activity using role play. In addition, the involvement of a visiting teacher from Australia has been established.

Method: Data collection consisted of a questionnaire that collected qualitative and quantitative data that revealed student perceptions and attitudes towards learning English including nursing terminology, teamwork and communication.

Results: Fifty five of sixty students participating in the activity completed the questionnaire. Students regarded this as a positive experience for learning English, collegiality and teamwork.

Conclusion: This project revealed that students who are not generally exposed to English-speaking people enjoyed this experience. They gained confidence in their ability to learn English in a collegial atmosphere where teamwork and supportive relationships were developed, despite the perception that learning English was difficult.

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 601.00 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.