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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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Yoon, Hyunsook; Jo, Jung Won – Language Learning & Technology, 2014
Studies on students' use of corpora in L2 writing have demonstrated the benefits of corpora not only as a linguistic resource to improve their writing abilities but also as a cognitive tool to develop their learning skills and strategies. Most of the corpus studies, however, adopted either direct use or indirect use of corpora by students, without…
Descriptors: Error Correction, English (Second Language), Foreign Countries, Case Studies
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Cerezo, Luis – Language Learning & Technology, 2016
Research shows that computer-generated corrective feedback can promote second language development, but there is no consensus about which type is the most effective. The scale is tipped in favor of more explicit feedback that provides metalinguistic explanations, but counterevidence indicates that minimally explicit feedback of the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Linguistic Input, Qualitative Research
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Bower, Jack; Kawaguchi, Satomi – Language Learning & Technology, 2011
This paper presents a comparative analysis of corrective feedback provided by participants in an eTandem interaction between university students in Japan and Australia who were learning each other's language. Corrective feedback provided to tandem partners during interaction via text-based Synchronous Computer Mediated Communication (SCMC) is…
Descriptors: Feedback (Response), Communication Problems, Computer Mediated Communication, Learning Strategies