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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)
Jens Roeser; Sven De Maeyer; Mariëlle Leijten; Luuk Van Waes – Reading and Writing: An Interdisciplinary Journal, 2024
To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different…
Descriptors: Keyboarding (Data Entry), Bayesian Statistics, Writing (Composition), Writing Evaluation
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)
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
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
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
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
Falhasiri, Mohammad – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2021
An underexplored question, and one with potentially far-reaching implications for the practice of written corrective feedback (WCF), is whether to mark a wide range of errors (comprehensive feedback) or to focus on a few error types (focused feedback) in learners' L2 writing. Despite limited evidence, it is argued that comprehensive WCF is…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, Second Language Learning
Åsa Wengelin; Sanna Kraft; Fredrik Thurfjell; John Rack – Reading and Writing: An Interdisciplinary Journal, 2024
Spelling difficulties are commonly associated primarily with spelling errors. However, it is not uncommon for spelling challenges to transform the whole writing process into a formidable struggle. This paper delves into the exploration of whether and to what extent analyses of children's writing processes can enhance our understanding of their…
Descriptors: Writing Processes, Spelling, Error Correction, Spelling Instruction
Nicholas Carr – Journal of Response to Writing, 2022
This case study investigates how two English language learners used knowledge they coconstructed while collaboratively processing written corrective feedback (WCF) on jointly produced texts. It does so through the lens of sociocultural theory (SCT). This study extends the extant literature by investigating how coconstructed knowledge emerging from…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, English Language Learners
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
Miguel Blázquez-Carretero – ReCALL, 2023
In 2016, Lawley proposed an easy-to-build spellchecker specifically designed to help second language (L2) learners in their writing process by facilitating self-correction. The aim was to overcome the disadvantages to L2 learners posed by generic spellcheckers (GSC), such as that embedded in Microsoft Word. Drawbacks include autocorrection,…
Descriptors: Second Language Learning, Spanish, Spelling, Error Correction
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