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Showing 1 to 15 of 34 results Save | Export
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Xu, Yiqin – Computer Assisted Language Learning, 2023
Despite repeated calls for the integration of digital multimodal composing (DMC) into English as a foreign language (EFL) teaching, the effect of the pedagogical use of DMC has been rarely investigated in the EFL context. Even less is known about the effects of DMC on students' L2 writing development. This study aims to address this issue by…
Descriptors: Educational Technology, English (Second Language), Second Language Instruction, Writing (Composition)
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Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
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Saadet Korucu-Kis – Computer Assisted Language Learning, 2025
Although a number of studies examined the use of social networking sites (SNSs) in academic writing instruction, these studies mainly revolve around social media centered on microblogging features. Despite living in a visually dominated world, the potential of visual social media such as Instagram whereby the textual, the visual and the social can…
Descriptors: Writing (Composition), Writing Instruction, Visual Aids, Social Media
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Emily Di Zhang; Shulin Yu – Computer Assisted Language Learning, 2025
While research on digital multimodal composing (DMC) has been skewed towards the instructional design and affordances of DMC for L2 learners, there is a wider need to develop conceptual models of L2 DMC competence, with which L2 learners can successfully design DMC works and respond to the multimodal reading and writing demands of the digital era.…
Descriptors: Second Language Learning, Second Language Instruction, Writing Instruction, Multiple Literacies
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Wu, Wen-Chi Vivian; Yang, Jie Chi; Scott Chen Hsieh, Jun; Yamamoto, Tosh – Computer Assisted Language Learning, 2020
Motivation has played an essential role in learning, leading to various research areas across diverse disciplines. While the literature is replete with findings supporting the essentiality of motivation in an individual's academic success, demotivation (a.k.a. negative motivation) has been underexplored, even though it has been a widespread…
Descriptors: English (Second Language), Second Language Instruction, Writing (Composition), Writing Instruction
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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; Park, Moonyoung – Computer Assisted Language Learning, 2020
In many English as a foreign language (EFL) contexts, learning is often limited to decontextualized classroom learning, and students suffer from lack of interaction and authentic opportunities for language learning. One of the recent emerging technologies, context-aware augmented reality (AR) technology can mitigate this problem for EFL…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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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
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Schenker, Theresa – Computer Assisted Language Learning, 2021
The present study investigated the effects of group set-up in a semester-long telecollaborative discussion forum project in second-semester German. In order to explore whether group set-up affects learning in discussion forums, small groups of non-native speakers (NNS) of German were partnered either with native speakers (NS), other NNS with the…
Descriptors: Group Discussion, Computer Mediated Communication, Teaching Methods, Native Speakers
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Kennedy, Claire; Miceli, Tiziana – Computer Assisted Language Learning, 2017
While there is widespread agreement on the expected benefits of hands-on access to corpora for language learners, reports abound of the difficulties involved in realising those benefits in practice. A particular focus of discussion is the challenge of transferring the skills of the corpus linguist to learners, so that they can explore this type of…
Descriptors: Computational Linguistics, Teaching Methods, Second Language Learning, Second Language Instruction
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Xu, Zhihong; Banerjee, Manjari; Ramirez, Gilbert; Zhu, Gang; Wijekumar, Kausalai – Computer Assisted Language Learning, 2019
Learning to write well can be a significant contributor to English language proficiency. The large population of English language learners (ELLs) has highlighted the need for educational technology as an important support for the different approaches to writing instruction for ELLs. In this meta-analysis, we examined the effectiveness of…
Descriptors: Meta Analysis, English (Second Language), Second Language Learning, Second Language Instruction
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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
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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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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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Hsieh, Yi Chin – Computer Assisted Language Learning, 2017
Collaborative learning has been widely applied in education, and has been seen as conducive to student learning. The advent of technology and its applications in education have also greatly enhanced the classroom learning environment, leading to increasing research attention on the combination of technology and collaboration. The case study…
Descriptors: Cooperative Learning, English (Second Language), Second Language Learning, Second Language Instruction
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