Learning vocabulary in spoken input- and output-based tasks

Author:

Duong Phuong Thao1,Montero Perez Maribel2ORCID,Desmet Piet1ORCID,Peters Elke3ORCID

Affiliation:

1. KU Leuven, imec research group itec

2. Ghent University

3. KU Leuven

Abstract

Abstract This experimental study explores the differential effects of spoken input-based and output-based tasks on vocabulary knowledge. The study also investigates whether such tasks result in more learning gains than exposure to input-only (no subsequent task). The study employed a pretest-posttest design with two groups: an experimental group (n = 32) who completed both input- and output-based tasks in a counterbalanced way and a comparison group (n = 12) who were only exposed to L2 input. Vocabulary gains were measured at three levels of sensitivity: oral spontaneous use, oral form recall and meaning recall. The findings showed that participants who were only exposed to L2 input learned significantly fewer words than participants who completed the input-based and output-based tasks. No difference in learning gains was found between the input-based and output-based tasks.

Publisher

John Benjamins Publishing Company

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Addressing the L2 learning needs of adults with limited education;TASK. Journal on Task-Based Language Teaching and Learning;2024-09-12

2. A task-based framework for oral language instruction in support of young language learners in French immersion;TASK / Journal on Task-Based Language Teaching and Learning;2023-10-04

3. The impact of input, input repetition, and task repetition on L2 lexical use and fluency in speaking;Studies in Second Language Learning and Teaching;2023-03-31

4. Enhancing L2 learners’ lexical gains via Quizlet learning tool: the role of individual differences;Education and Information Technologies;2023-03-06

5. Improving Speaking Skills in Teaching Turkish as a Second Language by Task-Based Teaching Method;Erzincan Üniversitesi Eğitim Fakültesi Dergisi;2022-06-20

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