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Showing 1 to 15 of 40 results Save | Export
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Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
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Emily Di Zhang; Shulin Yu – Computer Assisted Language Learning, 2025
In this digital age, digital multimodal composing (DMC) has permeated the L2 classroom as a technology-enhanced L2 writing task. Despite the learning potential of DMC for L2 students, instruments that measure L2 students' DMC competence are rare. As such, the present study sought to develop and validate an L2 student DMC competence scale in the…
Descriptors: Foreign Countries, Construct Validity, Second Language Learning, English (Second Language)
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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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Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
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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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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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Amiryousefi, Mohammad – Computer Assisted Language Learning, 2017
The current study aimed at investigating the effects of three types of prewriting planning conditions, namely teacher-monitored collaborative planning (TMCP), student-led collaborative planning (SLCP), and individual planning (IP) on EFL learners' computer-mediated L2 written production and learning transfer from a pedagogic task to a new task of…
Descriptors: Prewriting, Collaborative Writing, English (Second Language), Second Language Learning
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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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