Effectiveness of Corpus Consultation in Teaching Verb+Noun Collocations to Advanced ELT Students

  • Akıncı M
  • Yıldız S
N/ACitations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

This study examined the effectiveness of data-driven learning (DDL), explicit instruction and these two methods combined in teaching verb+noun (V+N) collocations to advanced Turkish learners of English. Recognition accuracy of V+N collocations was measured along with participants' judgment about the acceptability of these collocations. It also explored the opinions of learners about using corpus in learning V+N collocations. Quantitative data were analyzed via a one-way independent analysis of variance and descriptive statistics. Results revealed a statistically significant difference between the three groups in their recognition accuracy of V+N collocations. While the Explicit-Instruction (EI) Group and the Combined (C) Group scored significantly higher than the Data-Driven Learning (D) Group, the means of the EI-Group and C-Group did not significantly differ. With respect to the judgment about the acceptability of V+N collocations, the EI-Group significantly outperformed the D-Group; but the difference between the EI-Group and the C-Group; or between the C-Group and the D-Group was not statistically significant. The questionnaire data showed that the participants found the instruction with the use of corpus more useful and effective for learning V+N collocations than instruction without. (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Cite

CITATION STYLE

APA

Akıncı, M., & Yıldız, S. (2017). Effectiveness of Corpus Consultation in Teaching Verb+Noun Collocations to Advanced ELT Students. Eurasian Journal of Applied Linguistics, 3(1), 91–108. https://doi.org/10.32601/ejal.461036

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free