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Raniya Abdullah Alsehibany; Safaa M. Abdelhalim – Computer Assisted Language Learning, 2025
In the past two decades, corpora have been proposed as valuable computer-assisted tools for teaching and learning academic writing in English at the university level. This article reports on an empirical study that sought to examine the effectiveness of direct corpus consultation in overcoming vocabulary errors in academic writing. This study is…
Descriptors: Undergraduate Students, Majors (Students), English (Second Language), Second Language Learning
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
Choi, Inn-Chull – Computer Assisted Language Learning, 2016
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Intelligent Tutoring Systems, English (Second Language)
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
Beuls, Katrien – Computer Assisted Language Learning, 2014
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Descriptors: Error Analysis (Language), Grammar, Second Language Learning, Spanish
Nino, Ana – Computer Assisted Language Learning, 2008
Generalised access to the Internet and globalisation has led to increased demand for translation services and a resurgence in the use of machine translation (MT) systems. MT post-editing or the correction of MT output to an acceptable standard is known to be one of the ways to face the huge demand on multilingual communication. Given that the use…
Descriptors: Advanced Students, Translation, Second Language Learning, Editing
Peer reviewedBolt, Philip; Yazdani, Masoud – Computer Assisted Language Learning, 1998
Discusses the experience, results, and prognoses for the development and implemenation of grammar-checking programs that can advise effectively on language produced by learners of English-as-a-Foreign-Language. Particular focus is on work that has been carried out at University of Exeter over the last 10 years, specifically on two programs,…
Descriptors: Computer Uses in Education, Error Analysis (Language), Foreign Countries, Grammar
Peer reviewedLevison, Michael; Lessard, Greg – Computer Assisted Language Learning, 1996
Describes a language generation system, which, given data files describing a natural language, generates utterances of the class the user has specified. The system can exercise control over the syntax, lexicon, morphology, and semantics of the language. This article explores a range of the system's potential applications to second-language…
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Learning Strategies
Peer reviewedFeng, Cheng; Yano, Yoneo; Ogata, Hiroaki – Computer Assisted Language Learning, 2000
Describes a new component called "Writing Error Analysis Model" (WEAM) in the CoCoA system for teaching writing composition in Japanese as a foreign language. The Weam can be used for analyzing learners' morphological errors and selecting appropriate compositions for learners' revising exercises. (Author/VWL)
Descriptors: Computer Assisted Instruction, Error Analysis (Language), Japanese, Models
Peer reviewedOgata, Hiroaki; Yano, Yoneo; Wakita, Riko – Computer Assisted Language Learning, 1998
Describes an on-line mark-up-based composition learning environment system called CoCoA (Communicative Collection Assisting System). This system allows students and teachers to engage in marked-up documents via the Internet, and its environment is very similar to a real-world one in which people use pen and paper. CCML also facilitates teachers to…
Descriptors: Computer Assisted Instruction, Error Analysis (Language), Error Correction, Essays
Peer reviewedSchwind, Camilla B. – Computer Assisted Language Learning, 1995
Presents a framework for dealing with errors in natural language sentences within the context of automated second-language teaching. Using a feature grammar, it is possible to describe various types of errors in a uniform framework, clearly define an error, and analyze the error source. (24 references) (Author/CK)
Descriptors: Computer Assisted Instruction, Context Effect, Discourse Analysis, Error Analysis (Language)
Peer reviewedMetcalfe, Peter; And Others – Computer Assisted Language Learning, 1996
Discusses problems with correct verb use in the written work of students studying French. Examiners' reports indicate that the standard of verb use is declining, while the literature reveals that verb learning has inherent difficulties. The article critiques computer-assisted instruction and proposes a new approach. (23 references) (Author/CK)
Descriptors: College Students, Computer Assisted Instruction, Context Effect, Educational Technology
Peer reviewedConiam, David – Computer Assisted Language Learning, 1997
Describes a computer program that takes multiple-choice cloze passages and compiles them into proofreading exercises. Results reveal that such a computerized test type can be used to accurately measure the proficiency of students of English as a Second Language in Hong Kong. (14 references) (Author/CK)
Descriptors: Cloze Procedure, College Students, Computer Assisted Instruction, Computer Assisted Testing

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