803
Views
1
CrossRef citations to date
0
Altmetric
Articles

How Do Chinese ESL Learners Recognize English Words During a Reading Test? A Comparison With Romance-Language-Speaking ESL Learners

&
Pages 93-107 | Published online: 03 Feb 2015
 

Abstract

This study examines how Chinese ESL learners recognize English words while responding to a multiple-choice reading test as compared to Romance-language-speaking ESL learners. Four adult Chinese ESL learners and three adult Romance-language-speaking ESL learners participated in a think-aloud study with the Michigan English Language Assessment Battery (MELAB) reading test. As indicated by the think-aloud verbal reports, the Chinese ESL learners generally had more difficulty with English vocabulary, probably due to the vast difference between the writing system of Chinese and that of English. Rather, they were found to compensate for their deficiencies in vocabulary knowledge by extensively relying on test-taking strategies. The findings of this study are well supported by the cross-linguistic transfer theory and the compensatory nature of reading comprehension. The implications for teaching English vocabulary skills to Chinese ESL learners are also discussed.

Additional information

Funding

This work was partially supported by a Spaan Fellowship in Second or Foreign Language Assessment from the English Language Institute, University of Michigan. It was also partially supported by the Small Grants for Doctoral Research in Second or Foreign Language Assessment provided by the Educational Testing Service.

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 149.00 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.