The effect of corpus-assisted language teaching on academic collocation acquisition by Iranian advanced EFL learners

Author:

Baghiat Esfahani Mohamad JavadORCID,Ketabi Saeed

Abstract

Purpose This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian advanced EFL learners (students learning English as a foreign language).Design/methodology/approach This is a quasi-experimental, quantitative and qualitative study.Findings The result showed the experimental group outperformed significantly compared with the control group. The experimental group also shared their perception of the advantages and disadvantages of the corpus-assisted language teaching approach.Originality/value Despite growing progress in language pedagogy, methodologies and language curriculum design, there are still many teachers who experience poor performance in their students' vocabulary, whether in comprehension or production. In Iran, for example, even though mandatory English education begins at the age of 13, which is junior and senior high school, students still have serious problems in language production and comprehension when they reach university levels.

Publisher

Emerald

Reference72 articles.

1. Comparing frame membership, WordNet-based similarity and distributional similarity;Computational Linguistics in the Netherlands Journal,2020

2. An investigation of corpus contributions to lexicographic challenges over the past ten years;Lexikos,2022

3. Learning collocations: effects of online tools on teaching English adjective-noun collocations;British Journal of Educational Technology,2019

4. Boulton, A. (2008), “Looking for empirical evidence of data-driven learning at lower levels”, in Lewandowska-Tomaszczyk, B. (Ed.), Corpus Linguistics, Computer Tools, and Applications: State of the Art, Peter Lang, Frankfurt, pp. 581-598.

5. Testing the limits of data-driven learning: language proficiency and training;ReCALL,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3