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Lifang Bai; Yijia Wei – IEEE Transactions on Learning Technologies, 2024
ChatGPT can promptly reformulate a text and improve its quality in content and form while preserving the original meaning. Yet, little is known about how learners respond to such reformulations. Here, we employed a three-stage writing task (composing-comparison-rewriting) to investigate how learners notice, integrate, and perceive ChatGPT's…
Descriptors: English (Second Language), Second Language Learning, Writing Evaluation, Artificial Intelligence
Abderrahim Mamad; Tibor Vígh – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
This study aimed to investigate university students' preferences for and reported instructor practices of written feedback (WF) and how these align with instructors' perceptions and self-reported practices in EFL writing classrooms. An 80-item survey was conducted with 13 instructors and their 210 students at a Moroccan university. The findings…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
Yu Zhou; Shulin Yu; Peisha Wu – RELC Journal: A Journal of Language Teaching and Research, 2024
While a plethora of studies have been conducted on corrective feedback in L2 writing, praise as feedback has received less attention in L2 writing despite its well-acknowledged motivating functions in education and psychology (For economy of expression, the word "praise" will be used consistently throughout this paper to denote…
Descriptors: Positive Reinforcement, Feedback (Response), Second Language Learning, Writing (Composition)
Ning Fan – ProQuest LLC, 2021
Articulating ideas in writing based on English conventions may be one of the biggest challenges for English as a foreign language students, which makes corrective feedback (CF) an indispensable part in writing practice. In terms of providing CF, researchers have claimed that indirect CF has a number of advantages for the improvement of students'…
Descriptors: Foreign Countries, College Students, Feedback (Response), Teacher Response
Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
Maria-Lourdes Lira-Gonzales; Hossein Nassaji; Kuok-Wa Chao Chao – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
An increasing number of studies have explored the effects of collaborative writing on written outcomes; however, few studies have examined the influence of collaborative processing of feedback. This study addresses this gap by focusing on learner engagement. While collaborative writing involves co-authoring a text, which requires negotiation and…
Descriptors: Written Language, Error Correction, Feedback (Response), Second Language Learning
Hetian Yu; Qin Xie – Language Teaching Research Quarterly, 2025
Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Revision (Written Composition)
Qing-Ke Fu; Di Zou; Haoran Xie; Gary Cheng – Computer Assisted Language Learning, 2024
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the…
Descriptors: Journal Articles, Automation, Writing Evaluation, Feedback (Response)
Hongzhi Yang; Chuan Gao; Hui-zhong Shen – Education and Information Technologies, 2024
Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…
Descriptors: Artificial Intelligence, Programming, Writing Evaluation, Computer Mediated Communication
Escalante, Juan; Pack, Austin; Barrett, Alex – International Journal of Educational Technology in Higher Education, 2023
The question of how generative AI tools, such as large language models and chatbots, can be leveraged ethically and effectively in education is ongoing. Given the critical role that writing plays in learning and assessment within educational institutions, it is of growing importance for educators to make thoughtful and informed decisions as to how…
Descriptors: Artificial Intelligence, Feedback (Response), English (Second Language), Second Language Learning
Karim Sadeghi; Maryam Esmaeeli – RELC Journal: A Journal of Language Teaching and Research, 2024
Corrective feedback (CF) has long been a hot topic in language education circles and has received extensive research attention. However, there is still controversy over the effectiveness of CF use and error correction in language classes. To address this discrepancy, the current study probed the effectiveness of different CF types in improving…
Descriptors: Writing (Composition), Writing Evaluation, Feedback (Response), Accuracy
Li Dong – Reading and Writing: An Interdisciplinary Journal, 2024
Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…
Descriptors: Foreign Countries, College Students, Feedback (Response), Writing Instruction
Hailay Tesfay Gebremariam – SAGE Open, 2024
Although, written corrective feedback (hereafter referred to as CF) is applauded in many writing courses for fostering students' quality writing, its impact on grammatical accuracy in L2 students' writing remains a debated topic. Thus, this study looked into the effect of CF types on L2 students' grammatical accuracy in writing. To achieve this…
Descriptors: Outcomes of Education, Written Language, Feedback (Response), Error Correction
Gabriel Michaud; Kim McDonough; Mariane Parent – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
This study examines the impact of written corrective feedback (WCF) timing on the collaborative writing process and writing accuracy development of adult learners of French as a second language. Forty-eight learners were divided into three groups to complete a collaborative writing task in pairs. The first group received immediate WCF via Google…
Descriptors: Time Factors (Learning), Written Language, Feedback (Response), Error Correction
Ajabshir, Zahra Fakher; Ebadi, Saman – Asian-Pacific Journal of Second and Foreign Language Education, 2023
This study investigates the effects of teacher-focused feedback (TF) and automatic writing evaluation (AWE) on global writing performance as well as syntactic complexity, accuracy, lexical diversity, and fluency (CALF) of English as a foreign language (EFL) learners' narrative and argumentative writings. The participants were randomly assigned to…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Syntax

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