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Showing 1 to 15 of 17 results Save | Export
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Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
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Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
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Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
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Reynolds, Barry Lee; Kao, Chian-Wen – Computer Assisted Language Learning, 2021
Feedback researchers have given little attention to how administration of language-focused instruction before writing in a second language combined with subsequent error correction after writing can affect the grammatical accuracy of learners' future writing. Moreover, the mode of the instruction (i.e., teacher instruction or game-based…
Descriptors: Instructional Effectiveness, Direct Instruction, Second Language Instruction, Second Language Learning
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Sarré, Cédric; Grosbois, Muriel; Brudermann, Cédric – Computer Assisted Language Learning, 2021
Corrective feedback (CF) can be provided to learners in different ways (explicit or implicit, focused or unfocused) and is the subject of major controversies in second language acquisition research. As no clear consensus has been reached so far about the most effective approach to CF with a view to fostering accuracy in second language (L2)…
Descriptors: Blended Learning, Comparative Analysis, Second Language Learning, Second Language Instruction
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Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Lawley, Jim – Computer Assisted Language Learning, 2016
Research has shown that any assumption that L2 learners of English do well to rely on the feedback provided by generic spell checkers (for example, the MS Word spell checker) is misplaced. Efforts to develop spell checkers specifically for L2 learners have focused on training software to offer more appropriate suggestion lists for replacing…
Descriptors: English (Second Language), Second Language Learning, Feedback (Response), Spelling
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Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
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Yang, Yu-Fen – Computer Assisted Language Learning, 2018
This study reports on how students construct new language knowledge by indirect feedback in web-based collaborative writing. Indirect feedback (text organization, reader-based perspectives, and clarity of purpose) encourages students to negotiate meaning instead of merely copying peers' direct feedback on grammatical corrections. According to the…
Descriptors: Feedback (Response), Collaborative Writing, Questionnaires, Language Proficiency
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Shintani, Natsuko – Computer Assisted Language Learning, 2016
This case study investigated the characteristics of computer-mediated synchronous corrective feedback (SCF, provided while students wrote) and asynchronous corrective feedback (ACF, provided after students had finished writing) in an EFL writing task. The task, designed to elicit the use of the hypothetical conditional, was completed by two…
Descriptors: Case Studies, Computer Mediated Communication, Synchronous Communication, Asynchronous Communication
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Zou, Bin; Wang, Dongshuo; Xing, Minjie – Computer Assisted Language Learning, 2016
Wikis provide users with opportunities to post and edit messages to collaborate in the language learning process. Many studies have offered findings to show positive impact of Wiki-based language learning for learners. This paper explores the effect of collaborative task in error correction for English as a Foreign Language learning in an online…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Electronic Publishing
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Yen, Yen-Chen; Hou, Huei-Tse; Chang, Kuo En – Computer Assisted Language Learning, 2015
English as a foreign language (EFL) instruction faces many challenges in Asia because of many cultural and environmental factors, such as the lack of interactive speaking environments, emphasis placed on test scores, and foreign language anxiety. The purpose of this research is to conduct an EFL instructional course by integrating Facebook…
Descriptors: Role Playing, English (Second Language), Second Language Learning, Content Analysis
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Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics
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Loewen, Shawn; Reissner, Sophie – Computer Assisted Language Learning, 2009
Although many second language learners still study in a traditional, face-to-face classroom, an increasing number of students now participate in virtual classrooms and communicate online. Regardless of the mode of communication, interaction and focus on form can be considered important components of the learning environment. This paper reports on…
Descriptors: Second Language Instruction, Interaction, Foreign Countries, English (Second Language)
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Edasawa, Yasuyo; Kabata, Kaori – Computer Assisted Language Learning, 2007
This study investigates the effect of a cross-cultural bilingual communication project on students' second language learning. A collaborative key-pal project was conducted between Japanese university students learning English and Canadian university students learning Japanese. Ethnographic data were collected from the students' exchanged messages…
Descriptors: Ethnography, Communication Skills, Bilingualism, English (Second Language)
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