A meta-analysis examining technology-assisted L2 vocabulary learning

Author:

Yu AiqingORCID,Trainin GuyORCID

Abstract

Abstract This meta-analysis examines the effectiveness of technology-assisted second language (L2) vocabulary learning as well as identifies factors that may play a role in their effectiveness. We found 34 studies with 2,511 participants yielding 49 separate effect sizes. Following the procedure developed by Hunter and Schmidt (2004), we corrected for sample size bias and measurement error. The overall effect size for using technology to learn L2 vocabulary was d = 0.64, which is a moderate effect size. The Q statistic indicated a significant variability in effect size, so we followed up with a theory-driven moderator analysis. The results of the moderator analysis revealed that learners benefited more from technology-assisted L2 vocabulary learning with incidental instruction than with intentional instruction; types of assessment were not significant moderators of the effect on technology-assisted L2 vocabulary learning; technology-assisted L2 vocabulary learning is more effective when the target language is close to the learner’s first language; college students benefited more from technology-assisted L2 vocabulary learning than K–12 students; and, finally, mobile-assisted L2 vocabulary learning was more effective than computer-assisted L2 vocabulary learning.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Education

Reference34 articles.

1. Vocabulary learning with electronic flashcards: Teacher design vs. student design;Dodigovic;Voices in Asia Journal,2013

2. Technologies for Teaching and Learning L2 Vocabulary

3. The effects of hypertext glosses on L2 vocabulary acquisition: a meta-analysis

4. Working memory in children;Hitch;Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences,1983

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