Contribution of automated feedback to the English writing competence of distance foreign language learners

Author:

Taskiran Ayse1ORCID,Yazici Mujgan2,Erdem Aydin Irem2

Affiliation:

1. Wenzhou-Kean University, Wenzhou, China

2. Anadolu University, Eskisehir, Turkey

Abstract

In recent years, automated feedback (AF) has greatly increased its applicability as a mean to support development of English as a foreign language (EFL) learners’ writing competence in the context of face-to-face education. This study examines contribution of AF to the development of writing competence of EFL learners in open and distance learning context. Anadolu University, Open Education Faculty learners received regular feedback on their writing tasks by an AF tool, Write & Improve. The contribution of AF to academic writing success was observed by statistically comparing the grades of the learners for their writing tasks at the beginning and at the end of the process and also by correlation analysis between AF frequency and achievement scores. In the second stage of the study, detailed data about learners’ experiences were obtained by interviewing volunteer participants. The quantitative and qualitative findings of the study showed that AF significantly contributed to the development of writing competence of EFL learners at a distance. Interviews with learners revealed themes such as effective learning process, contribution to foreign language development, motivation increase, effective and fast feedback, user-friendly learning environment, support for individual learning, and contribution to distance learning as the strengths of AF. The interviews also included participants’ suggestions on how to use these tools more effectively. Based on the findings, pedagogical implications are discussed regarding the incorporation of AF in distance EFL learning.

Publisher

SAGE Publications

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 5 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

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