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Jussi S. Jauhiainen; Agustin Bernardo Garagorry Guerra – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…
Descriptors: Artificial Intelligence, Student Evaluation, Writing Evaluation, Feedback (Response)
Fiona Richards; Nigel Harwood – International Journal for Educational Integrity, 2024
This article presents a research-based stakeholder tool informed by a study of the various types of changes proofreaders may make when proofreading a student text. Whilst the tool can be used to advise higher education students, (non-)professional proofreaders/editors, English for Academic Purposes (EAP) lecturers, writing centre tutors, and…
Descriptors: Proofreading, Writing Evaluation, Revision (Written Composition), English for Academic Purposes
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)
Bei Cai; Ziyu He; Hong Fu; Yang Zheng; Yanjie Song – IEEE Transactions on Learning Technologies, 2025
Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…
Descriptors: Undergraduate Students, Majors (Students), Writing (Composition), Writing Evaluation
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
Mohammad Bagheri – Cogent Education, 2024
Task-based language teaching (TBLT) has occupied an important place in the field of language education; however, some of TBLT dimensions that pertain to the interaction between task design features, written corrective feedback (WCF), and learners' performance have not received adequate attention in past studies. To fill this gap, the current study…
Descriptors: Task Analysis, Second Language Instruction, English (Second Language), Error Correction
Lizzie Hutton; Kate Francis; Danielle Hart; Anita Long; Brenda Tyrrell – Writing Center Journal, 2023
Especially in the wake of the recent pandemic, asynchronous consulting has become increasingly central to writing center work. Yet writing center scholarship has little attended to the significant impact writer input can have on asynchronous writer-consultant exchanges. Drawing on asynchronous consultation data collected before and after our 2019…
Descriptors: College Students, Writing (Composition), Writing Evaluation, Laboratories
Yoshimasa Ogawa – Journal of Response to Writing, 2025
This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…
Descriptors: English (Second Language), Second Language Learning, Accuracy, Writing Evaluation
Henshaw, Florencia – NECTFL Review, 2023
Even though peer review enjoys sound theoretical support, classroom research has not always provided a clear picture of its effectiveness, particularly when it comes to form-focused editing. In addition to yielding conflicting findings with respect to the number of corrections students make based on peer feedback (Connor & Asenavage, 1994;…
Descriptors: Peer Evaluation, Error Correction, Spanish, Second Language Learning
Hooman Saeli; Payam Rahmati; Svetlana Koltovskaia – Journal of Response to Writing, 2023
The study explored six ESL university students' behavioral, cognitive, and affective engagement with e-rater feedback on local issues and examined any changes in students' engagement over two weeks. We explored behavioral engagement through the analysis of screencasts of students' e-rater usage and writing assignments. We measured cognitive and…
Descriptors: Learner Engagement, Error Correction, Feedback (Response), Writing Evaluation
Gang Yang; Wei Zhou; Huimin Zhou; Jiawen Li; Xiaodong Chen; Yun-Fang Tu – Education and Information Technologies, 2024
Second language (L2) writing plays an important role in improving the learners' language skills of English as a Foreign Language (EFL) in terms of language expression and linguistic thinking. Therefore, improving writing skills is still a focus area for EFL learners. To enhance EFL learners' writing ability and optimize their writing quality, an…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Skills
Budi Waluyo; Aisah Apridayani – Learning: Research and Practice, 2024
This study examined how the mindsets and feedback preferences of 91 Thai undergraduate students in an English composition course influence their writing skills. Using a mixed-methods approach, the research gathered data on students' mindsets, feedback preferences, and writing outcomes. While most students displayed a fixed mindset and were…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Teacher Student Relationship
Mostafa Papi; Mahmoud Abdi Tabari; Masatoshi Sato – Modern Language Journal, 2024
This study explored the role of feedback-seeking behaviors (FSB) in how English-as-a-second language (ESL) learners benefit from written corrective feedback (WCF). Seventy-six learners enrolled in an ESL writing course at a major university in the United States completed an FSB questionnaire, wrote a narrative essay, received WCF on their essays,…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, English (Second Language)
Yu, Eunjyu – Journal of Educators Online, 2023
Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cognitive Style
Eckstein, Grant; Sims, Maureen; Rohm, Lisa – TESL Canada Journal, 2020
Dynamic written corrective feedback (DWCF) is a pedagogical approach that offers meaningful, manageable, constant, and timely corrective feedback on student writing (Hartshorn et al., 2010). It emphasizes indirect and comprehensive written error correction on short, daily writing assignments. Numerous studies have demonstrated that its use can…
Descriptors: Feedback (Response), Written Language, Error Correction, Time Factors (Learning)