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Wu, LiQin; Wu, Yong; Zhang, XiangYang – English Language Teaching, 2021
Although the study of artificial intelligence (AI) used in language teaching and learning is increasingly prevailing, research on language two (L2) learner cognitive psychological factors about AI writing corrective feedback (WCF) is scarce. This paper explores L2 learner cognitive psychology of pigai, an AI evaluating system for English writings…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Second Language Instruction
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Zhang, Zhe – Language Learning Journal, 2022
The concept of learner engagement has traditionally been examined in the field of education and it has been found to be associated with positive educational outcomes. While several studies in second language acquisition have looked at learner engagement with corrective feedback, there is a dearth of research investigating its relevance to…
Descriptors: Learner Engagement, Second Language Learning, Second Language Instruction, Affective Behavior
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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
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Li, Su; Li, Pengjing – English Language Teaching, 2012
Written corrective feedback (WCF) has been a long time practice in L2 writing instruction. However, in many cases, the effects are not satisfactory. There have been controversies about it both theoretically and empirically. This paper reports a multi-case study exploring individual differences that impact learners' responses to WCF. Four students'…
Descriptors: Foreign Countries, English (Second Language), Case Studies, Error Correction