Walking the Walk? (Mis)alignment of EFL Teachers' Self‐Reported Corpus Literacy Skills and Their Competence in Planning and Implementing Corpus‐Based Language Pedagogy

Author:

Chung Tieu Thuy1ORCID,Crosthwaite Peter2ORCID,Cao Cam Thi Hong1,de Carvalho Carolina Tavares3ORCID

Affiliation:

1. Tra Vinh University Tra Vinh Vietnam

2. School of Languages and Cultures University of Queensland St Lucia Queensland Australia

3. UNESP—São Paulo State University + The University of Queensland Fernandópolis Brazil

Abstract

AbstractData‐driven learning (DDL) is an increasingly popular area of research for language teaching and is gradually being incorporated into teacher education programs globally. However, assessing teacher trainees' (self‐reported) corpus literacy, and its impact on eventually (and successfully) incorporating corpora into language teaching, is an ongoing issue. This paper explores the experiences of in‐service English language teacher trainees in developing both corpus literacy and corpus‐based language pedagogy skills in Vietnam. The study finds a disconnect between participants' high self‐reported corpus literacy skills, high intention to conduct corpus‐based language teaching, and their ability to convert said intention and literacy into viable ideas for corpus‐based language teaching within their lesson planning. Potential reasons include difficulties conceptualizing DDL's integration into lesson objectives, selection of inappropriate corpora for the target audience, issues planning DDL activities for primary‐age learners, and Vietnamese‐specific issues mainly around access to technology. Accordingly, we present several recommendations for improving the assessment of DDL trainees' actual integration of DDL into their teaching practice.

Funder

Trường Đại học Trà Vinh

Publisher

Wiley

Subject

Linguistics and Language,Language and Linguistics,Education

Reference40 articles.

1. Becoming corpus literate: An in-service EFL teacher education framework for integrating corpora into EFL teaching

2. Thirty years of data‐driven learning: Taking stock and charting new directions over time;Boulton A.;Language Learning & Technology,2021

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