2,590
Views
40
CrossRef citations to date
0
Altmetric
Articles

Can higher-proficiency L2 learners benefit from working with lower-proficiency partners in peer feedback?

&
Pages 178-192 | Received 17 Oct 2015, Accepted 04 Aug 2016, Published online: 30 Sep 2016
 

ABSTRACT

Informed by Vygotsky’s conceptualization of the Zone of Proximal Development, this case study investigated the benefits of peer feedback on second language (L2) writing for students with high L2 proficiency and the factors that may influence their learning in peer feedback in the Chinese English-as-a-foreign-language context. Specifically, the study examined whether, what, and how higher-proficiency (HP) English learners can learn when they collaborate with their lower-proficiency counterparts. Analyses of multiple sources of data – video-recordings of peer feedback sessions, interviews, stimulated recalls, and drafts of student texts – revealed that while group peer feedback in the writing classroom can provide learning opportunities for HP students, their learning can be influenced by several factors, including their beliefs about peer feedback, motives and goals for peer feedback, and medium of group discussion. Implications are drawn from these findings for peer feedback practice and research in L2 writing.

Additional information

Funding

This work was supported by Start-up Research Grant [grant number SRG2014-00016-FED] provided by University of Macau.

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.