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Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
Mimi Li – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four…
Descriptors: Second Language Learning, Feedback (Response), Evaluation, Artificial Intelligence
Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Becky Moss; Jane Marshall; Celia Woolf; Katerina Hilari – International Journal of Language & Communication Disorders, 2024
Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now…
Descriptors: Writing (Composition), Writing Instruction, Intervention, Assistive Technology
Sirin Sawangwan – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study statistically compared the differences between Chat Generative Pre-Trained Transformer (ChatGPT) and teacher instruction, comparing the use of ChatGPT with teachers' roles in developing English as a Foreign Language writing. A mixed-method approach was employed. The quantitative component examined learners' writing performance, before…
Descriptors: Technology Uses in Education, Artificial Intelligence, Computer Software, Synchronous Communication
Xiaxia Cao; Yao Zhao; Xiang Li – Education and Information Technologies, 2024
Various studies have been conducted on applying intelligent recognition technology, especially speech recognition technology to improve English learning ability, mostly listening and speaking. However, few studies have touched on how image-to-text recognition technology can be used for writing. The present research was conducted to fill this gap…
Descriptors: Captions, Second Language Learning, Second Language Instruction, Teaching Methods
Thi, Nang Kham; Nikolov, Marianne; Simon, Krisztián – Innovation in Language Learning and Teaching, 2023
Research on the impact of feedback on students' writing has grown in the past 20 years, including studies comparing the nature of teacher and automated feedback. Differential success in learners' gaining from feedback has largely depended on their engagement with the feedback rather than the feedback itself. Studies examining the ways learners…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Feedback (Response)
Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
Kelsey DeCamillis – CATESOL Journal, 2023
During traditional, in-person writing instruction, teachers can quickly model tasks for students, students have clear directions for following lesson sequences step-by-step, and partner or group collaboration can begin by simply asking students to turn to whomever is sitting next to them. Online instruction poses challenges to these typical…
Descriptors: Writing Instruction, Teaching Methods, Distance Education, English (Second Language)
Alotaibi, Abdullah Nijr; Alzu'bi, Mohammad – Journal of Language and Linguistic Studies, 2022
The study aimed at examining the effect of Paragraph Punch on developing EFL students' writing paragraphs. The participants were eighty English language students of the English Department, Al-Balqa Applied University, who had enrolled in the Writing paragraph course. They were distributed into two assigned sections: the experimental group of (40)…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Second Language Instruction
Giang Thi Linh Hoang; Neomy Storch – Iranian Journal of Language Teaching Research, 2024
Research has suggested that the type of feedback learners receive can impact on whether learners understand the feedback, the extent to which they engage with it, and whether they incorporate it in their revised drafts. However, to date, only a small number of studies have investigated learner engagement with corrective feedback provided by…
Descriptors: Case Studies, Language Processing, English (Second Language), Second Language Learning
Shireen Jamal Mohammed; Maryam Waleed Khalid – Language Testing in Asia, 2025
While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Software, English (Second Language)
Schumaker, Jean B. – Journal of Special Education Technology, 2022
The purpose of this study was to determine whether struggling adolescent writers could learn sentence and paragraph writing skills from a software program. Nine junior-high and nine senior-high struggling writers participated in a multiple-probe across-students design that was replicated six times. Instructional procedures within the software…
Descriptors: Computer Assisted Instruction, Writing Instruction, Instructional Effectiveness, Computer Software
Elif Sari; Turgay Han – Journal of Computer Assisted Learning, 2024
Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, English (Second Language)