Dosing Criticism With Praise: E-Feedback in L2 Student Writing

Suhan AKINCI OKTAY, Seçil DAYIOĞLU ÖCAL
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Abstract

The current study deals with e-feedback delivered to the students in higher education during COVID19 pandemic. The data comes from e-feedback delivered to the students in a departmental compulsory course at the department of English language in a state university. Data analysis is conducted in two stages. First, the e-feedbacks classified into three categories regarding the feedback moves by Hyland and Hyland (2012). In the second stage, the categories coded by the two researchers were transferred to SPSS, with the aim of finding out the frequently employed speech act employed by the instructor while giving e-feedback to students. In addition, chi-square test was also conducted to see whether there are significant differences in speech act groups according to the level of success in the study. The findings indicated that the instructor prefers to give e-feedback to unsuccessful students than successful ones using different groups of speech acts such as praise and criticism. Another finding of the study shows that criticism and praise were the most frequently used feedback patterns in our data while suggestion and other feedback acts did not occur frequently. Overall, the study shows the importance of instructor-based e-feedback for academic writing.
批评与赞扬:第二语言学生写作中的电子反馈
本研究涉及2019冠状病毒病大流行期间向高等教育学生提供的电子反馈。这些数据来自一所州立大学英语语言系必修课程的学生收到的电子反馈。数据分析分两个阶段进行。首先,Hyland和Hyland(2012)将电子反馈分为三类。在第二阶段,将两位研究者编码的类别转移到SPSS中,目的是找出教师在给学生电子反馈的同时经常使用的言语行为。此外,根据研究的成功程度,还进行了卡方检验,看言语行为组之间是否存在显著差异。研究结果表明,教师更倾向于对不成功的学生进行电子反馈,而不是使用不同的言语行为组,如表扬和批评。该研究的另一个发现表明,在我们的数据中,批评和表扬是最常用的反馈模式,而建议和其他反馈行为并不经常发生。总体而言,该研究显示了基于教师的电子反馈对学术写作的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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