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Yamashita, Taichi – Computer Assisted Language Learning, 2019
The present quasi-experimental study investigated the comparative effects of metalinguistic clue (MC) and metalinguistic explanation (ME) on the accurate use of Japanese transaction expressions. The study recruited 25 learners in a second-semester Japanese course (i.e. non-introduced group) and 17 students in a fourth-semester course (i.e.…
Descriptors: Cues, Metalinguistics, Prior Learning, Oral Language
Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2019
Prior research has shown that EFL learners who wrote collaboratively with partners using wikis improved the content quality and language accuracy of their L2 individual writing more than students who wrote individually. Drawing on the dataset from Hsu and Lo's study, the current study explores the nature of the students' collaborative dialogue…
Descriptors: Web Sites, Collaborative Writing, Web 2.0 Technologies, English (Second Language)
Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2016
This paper reports on an exploratory study that investigated the effect of extensive speaking practice on the development of L2 speaking complexity, accuracy, and fluency in voice blogging. The participants were 30 college EFL (English as a foreign language) learners in Taiwan. As a supplement to the insufficient speaking practice in class, each…
Descriptors: Second Language Learning, Language Skills, Language Fluency, College Students
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
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

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