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Gao, Jianwu; Ma, Shuang – Language Teaching Research, 2022
This study investigated the intensity and efficacy of automated corrective feedback (CF) in a tutorial CALL (computer-assisted language learning) environment during form-focused drills as compared with those of instructor CF on free writing in the classroom. The English simple past tense, a previously learned target structure, was selected as the…
Descriptors: Feedback (Response), Writing (Composition), Computer Assisted Instruction, Second Language Learning
Rajati Mariappan; Kim Hua Tan; Bromeley Philip – Journal of Education and Learning (EduLearn), 2025
Incorporating technology with linguistics has created opportunities to explore the effectiveness of grammar checkers in cultivating an autonomous learning culture among English as a second language (ESL) and English as a foreign language (EFL) learner. Even though there have been numerous studies on grammar checkers to cultivate autonomous…
Descriptors: Computational Linguistics, Computer Software, Grammar, Private Schools
Gaillat, Thomas; Lafontaine, Antoine; Knefati, Anas – CALICO Journal, 2023
In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Second Language Instruction
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
John, Paul; Woll, Nina – Research-publishing.net, 2018
Our study assessed the performance of two Grammar Checkers (GCs), Grammarly and Virtual Writing Tutor, and the grammar checking function in Microsoft Word on a broad range of grammatical errors. The errors occurred in both authentic English as a Second Language (ESL) compositions and simple sentences we generated ourselves. We verified the…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, English (Second Language)
Vakili, Shokoufeh; Ebadi, Saman – Computer Assisted Language Learning, 2022
Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Testing
Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
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
DeKeyser, Robert M., Ed.; Botana, Goretti Prieto, Ed. – Language Learning & Language Teaching, 2019
This book is unique in bringing together studies on instructed second language acquisition that focus on a common question: "What renders this research particularly relevant to classroom applications, and what are the advantages, challenges, and potential pitfalls of the methodology adopted?" The empirical studies feature experimental,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Decision Making
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
Manchón, Rosa M., Ed. – Language Learning & Language Teaching, 2020
The current volume aspires to add to previous research on the connection between writing and language learning from a dual perspective: It seeks to reflect current progress in the domain as well as to foster future developments in theory and research. The theoretical postulations contained in Part I identify and expand in novel ways the diverse…
Descriptors: Writing (Composition), Second Language Learning, Second Language Instruction, Teaching Methods
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
Liu, Song; Liu, Peng; Urano, Yoshiyori – International Journal of Distance Education Technologies, 2013
Practice and research in the composition education that is using computer and network have been more and more active. Through online composition system, a large amount of written texts produced by students and teachers can be collected. This kind of information is called a learner corpus, which is important in second language education because the…
Descriptors: Writing (Composition), Computer Uses in Education, Educational Technology, Second Language Instruction
Gimeno, Ana, Ed. – European Association for Computer-Assisted Language Learning (EUROCALL), 2014
"The EUROCALL Review" is EUROCALL's open access online scientific journal. Regular sections include: (1) Reports on EUROCALL Special Interest Groups: up-to-date information on SIG activities; (2) Projects: reports on on-going CALL or CALL-related R&D projects; (3) Recommended websites: reports and reviews of examples of good practice…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Grammar
Chodorow, Martin; Gamon, Michael; Tetreault, Joel – Language Testing, 2010
In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion[superscript SM], developed by Educational Testing Service, and "ESL Assistant", developed by Microsoft Research, both use machine learning techniques to build models of article…
Descriptors: Grammar, Feedback (Response), Form Classes (Languages), Second Language Learning
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