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Kiliçkaya, Ferit – Computer Assisted Language Learning, 2022
Although a plethora of research has been conducted on written corrective feedback and timing of feedback in various teaching and learning contexts, there is a paucity of research on learners' preferences regarding different online written corrective feedback. Such a lacuna becomes prominent in EFL contexts, especially in grammar classes, where…
Descriptors: Preservice Teachers, Language Teachers, Electronic Learning, Written Language
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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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Rassaei, Ehsan – Computer Assisted Language Learning, 2022
The study reported here investigated the effects of recasts on L2 development in terms of promoting EFL learners' accuracy in using English articles during mobile-mediated audio and video interactions. Fifty-two Iranian EFL learners were randomly assigned into two audio and video recasts conditions as well as two audio and video control groups.…
Descriptors: Comparative Analysis, Video Technology, 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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Paul, Jing Z.; Friginal, Eric – Computer Assisted Language Learning, 2019
This study investigated the effects of Facebook and Twitter on foreign language (Chinese) learners' written production in both short- (10 days) and long-term (50 days) pseudo-experimental settings. Adopting two concepts (i.e. symmetric vs. asymmetric) from matrix theory in social network analysis, we categorized Facebook as a symmetric social…
Descriptors: Social Networks, Second Language Learning, Network Analysis, Sentences
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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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Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
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Dekhinet, Rayenne – Computer Assisted Language Learning, 2008
This study investigates the value of online enhanced corrective feedback for non-native speakers of English from (1) the quality of their interaction online, (2) their perceptions, and (3) the challenges encountered. Online enhanced feedback is an online peer tutoring technique that was developed from Negotiated Meaning and used by native speakers…
Descriptors: Peer Teaching, Native Speakers, English (Second Language), Tutoring
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Byrne, Timothy – Computer Assisted Language Learning, 2007
Many teachers today use Learning Management Systems (LMS), several of which are open-source. Specific examples are Claroline and Moodle. However, they are not specifically designed for language learning, and hence not entirely suitable. In this article, I will compare two uses of the Claroline LMS available at Louvain-la-Neuve within the framework…
Descriptors: Management Systems, Computer Software, Computer Assisted Instruction, Second Language Instruction
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Engwall, Olov; Balter, Olle – Computer Assisted Language Learning, 2007
The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation, Language Teachers