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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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Ruth Li – Thresholds in Education, 2025
In this article, I introduce a collaborative annotation activity that supports students in critically examining AI-generated writing in relation to criteria including specificity and complexity. I engage students in collaboratively annotating the AI-generated essays, guiding students to identify instances in which the essays could be more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
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Mik Fanguy; Jamie Costley; Matthew Courtney; Kyungmee Lee – Interactive Learning Environments, 2024
The present study (n = 357) investigates the effects of collaborative note-taking behaviors on learning performance and note quality. To conceptualize collaborative note-taking, the present study introduces the collaborative encoding-storage paradigm, where collaborative writing behaviors are viewed as types of collaborative encoding and the…
Descriptors: Foreign Countries, Graduate Students, Graduate Study, Writing Skills
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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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Masoud Rahimi; Jalil Fathi; Di Zou – Education and Information Technologies, 2025
Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests