{"title":"The Effect of Automated Corrective Feedback On L2 Writing in POS Categories","authors":"Yingxue Wang","doi":"10.2991/assehr.k.220706.093","DOIUrl":null,"url":null,"abstract":"Automated corrective feedback is the processing of the Computer-Assisted Language Learning used in L2 English writing assessment that is ubiquitous in current L2 practice and research (e.g.,Chen,2016; Chukharev & Gao et al, 2020).This research examined the effect of automated corrective feedback of Pigainet as a kind of Computer-Assisted language learning instruments in English writing revision. Data were collected from 591 drafts of 31 participants who submitted their drafts on Pigainet and coded as errors frequency ratios according to POS category. Findings suggested that Pigainet could help participants revise their writing errors of Article, Verb, Preposition, and Noun.","PeriodicalId":196354,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange(ICLACE 2022)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange(ICLACE 2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.220706.093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Automated corrective feedback is the processing of the Computer-Assisted Language Learning used in L2 English writing assessment that is ubiquitous in current L2 practice and research (e.g.,Chen,2016; Chukharev & Gao et al, 2020).This research examined the effect of automated corrective feedback of Pigainet as a kind of Computer-Assisted language learning instruments in English writing revision. Data were collected from 591 drafts of 31 participants who submitted their drafts on Pigainet and coded as errors frequency ratios according to POS category. Findings suggested that Pigainet could help participants revise their writing errors of Article, Verb, Preposition, and Noun.
自动纠正反馈是计算机辅助语言学习的处理,用于第二语言英语写作评估,在当前的第二语言实践和研究中无处不在(例如,Chen,2016;Chukharev & Gao et al ., 2020)。本研究考察了Pigainet自动纠错反馈作为一种计算机辅助语言学习工具在英语写作修改中的效果。从31名参与者的591份草稿中收集数据,这些参与者在Pigainet上提交了他们的草稿,并根据POS类别编码为错误频率比。研究结果表明,Pigainet可以帮助被试纠正冠词、动词、介词和名词的写作错误。