2,341
Views
102
CrossRef citations to date
0
Altmetric
Original Articles

Effects of Web-based Concordancing Instruction on EFL Students' Learning of Verb – Noun Collocations

Pages 231-251 | Published online: 16 Feb 2007
 

Abstract

This study investigates the influence of using five web-based practice units on English verb-noun collocations with the design of a web-based Chinese-English bilingual concordancer (keyword retrieval program) on collocation learning. Thirty-two college EFL students participated by taking a pre-test and two post-tests, and responding to a background questionnaire and an evaluation questionnaire. Results indicated that learners made significant collocation improvement immediately after the online practice but regressed later. Yet, the final performance was still better than students' entry level. Different verb-noun collocation types and learners with different prior collocation knowledge were found to be not equally receptive to the practice effects. Both the online instructional units and the concordancer were acceptable to most participants.

Acknowledgements

The study was funded by the National Science Council in Taiwan under the project number NSC92-2524-S007-2. The authors would like to express their gratitude to Dr Yuli Yeh, Dr Chih-Cheng Lin, Dr Jason S. Chang, Hung-Tzu Huang, and the anonymous reviewers of Computer Assisted Language Learning for their comments on this paper. Research assistants and participating students involved in the study are also acknowledged.

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 339.00 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.