The impact of automated writing evaluation (AWE) on EFL learners' peer and self-editing.
The impact of automated writing evaluation (AWE) on EFL learners' peer and self-editing.
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DOI：
10.1007/s10639-022-11458-x
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发表时间：
2023
影响因子：
5.5
通讯作者：
Al-Wasy, Baleigh Qassim Mohammed
中科院分区：
文献类型：
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作者：
Al-Inbari, Fatima Abdullah Yahya;Al-Wasy, Baleigh Qassim Mohammed
自动写作评价(AWE)是一种用于评价学习者写作的机器技术。近年来，这项技术已被广泛应用于改善学习者的编辑策略。已经进行了几项研究来比较自我编辑和同行编辑。然而，只有几项研究比较了自动同行编辑和自我编辑。为了填补这一研究空白，本研究开发了AWE软件WRITER，用于同行和自我编辑。为此，本研究设计了一种便于抽样的前置准实验研究设计，用于因果论文写作的自动化和非自动化编辑。44名阿拉伯英语学习者被分成四组：两个同伴和自我编辑控制组，两个自动同伴和自我编辑实验组。在自动编辑过程中和之后，使用来自参与者的回顾笔记和问卷回复的定性数据，对准实验设计进行了三角测量。使用非参数检验对定量数据进行了分析。对定性数据进行了主题分析和内容分析。结果表明，AWE软件对同伴组和自我编辑组都产生了积极的影响。然而，它们之间没有检测到显著的差异。对定性数据的分析反映了参与者对该软件以及自动同行和自我编辑体验的积极评价。
Automated Writing Evaluation (AWE) is one of the machine techniques used for assessing learners’ writing. Recently, this technique has been widely implemented for improving learners’ editing strategies. Several studies have been conducted to compare self-editing with peer editing. However, only a few studies have compared automated peer and self-editing. To fill this research gap, the present study implements AWE software, WRITER, for peer and self-editing. For this purpose, a pre-post quasi-experimental research design with convenience sampling is done for automated and non-automated editing of cause-effect essay writing. Arab, EFL learners of English, 44 in number, have been assigned to four groups: two peer and self-editing control groups and two automated peer and self-editing experimental groups. There is a triangulation of the quasi-experimental design with qualitative data from retrospective notes and questionnaire responses of the participants during and after automated editing. The quantitative data have been analyzed using non-parametric tests. The qualitative data have undergone thematic and content analysis. The results reveal that the AWE software has positively affected both the peer and self-editing experimental groups. However, no significant difference is detected between them. The analysis of the qualitative data reflects participants’ positive evaluation of both the software and the automated peer and self-editing experience.