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Qi Lu; Yuan Yao; Xinhua Zhu – Asia-Pacific Education Researcher, 2024
This study investigates the effects of two aspects of writing revisions (revision amount and revision function) on writing improvement, and how students' self-rating accuracy moderates these effects. Hierarchical linear regression is employed with a sample of 114 undergraduate students. When considering the moderating role of self-rating accuracy,…
Descriptors: Undergraduate Students, Writing (Composition), Revision (Written Composition), Writing Improvement
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Marilisa Birello; Llorenç Comajoan-Colomé; Tania Salguero; Natxo Sorolla – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
This study explores the written corrective feedback provided by two university teachers in the academic texts written by their students. Specifically, it focuses on the relationship established between the linguistic and discursive errors identified by the teachers, the forms of feedback provided (direct, indirect, metalinguistic and…
Descriptors: Written Language, Feedback (Response), Error Patterns, College Students
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Han Zhang; Jamie Costley; Matthew Courtney; Galina Shulgina; Mik Fanguy – Education and Information Technologies, 2025
Depending on the nature of comments made during peer review of academic writing, students may be able to evaluate and revise their performance. Therefore, it is essential to explore how the content of comments affects student writing. Since peer review is a process of interaction, it is critical to understand how comments affect student academic…
Descriptors: Graduate Students, Content Area Writing, Academic Language, Feedback (Response)
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Simin Xu; Yanfang Su; Kanglong Liu – Education and Information Technologies, 2025
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigates the engagement of Master's students in translation with ChatGPT-generated feedback during their…
Descriptors: Learner Engagement, Artificial Intelligence, Translation, Revision (Written Composition)
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Xiaomei Wang – Education and Information Technologies, 2025
Automated writing evaluation (AWE) provides an instant and cost-effective alternative to human feedback in assessing student writing, and therefore is widely used as a pedagogical supportive tool in writing instruction. However, studies on how students perceive the usage of AWE as a surrogate writing tutor in out-of-class autonomous learning are…
Descriptors: Student Attitudes, Automation, Writing Evaluation, Undergraduate Students
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Salomé Cojean; Manon Grand – British Journal of Educational Psychology, 2024
Background: Taking notes during learning has benefits both during class (through writing things down to encode information) and after class (by using written notes as external storage for revision). Comparisons of note-taking methods (i.e., using paper or a computer) have mainly shown that paper leads to better learning. However, previous studies…
Descriptors: Notetaking, College Students, Preferences, Writing Strategies
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Kamali N. Sripathi; Rosa A. Moscarella; Matthew Steele; Rachel Yoho; Hyesun You; Luanna B. Prevost; Mark Urban-Lurain; John Merrill; Kevin C. Haudek – Journal of Mixed Methods Research, 2024
Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…
Descriptors: Artificial Intelligence, Mixed Methods Research, Student Writing Models, Biology
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Ying Zhan – Teaching in Higher Education, 2024
Few studies have explored the difficulties that undergraduates encounter in peer assessment from the dual perspectives of feedback givers and receivers and framed them in terms of specific needs for student feedback literacy development. To address this research gap, this study explored the obstacles that Hong Kong university students experienced…
Descriptors: Barriers, Peer Evaluation, Undergraduate Students, Student Attitudes
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Kamila Misiejuk; Jarle Bastesen; Tatiana Ershova – Innovations in Education and Teaching International, 2025
In this study, we explore the effects of self-reported or suspected generative artificial intelligence (GenAI) use in essay writing on peer assessment and revision patterns among a group of early student adopters. The data were collected from a higher education course, where students engaged in a group peer assessment activity, and analysed using…
Descriptors: Artificial Intelligence, Essays, Writing (Composition), Peer Evaluation
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Charalampous, Angelos; Darra, Maria – World Journal of Education, 2023
Feedback is an essential aspect of the teaching and learning process since it can objectively describe the learner's performance and guide him through revising their work to improve their academic performance. Studies regarding its application in education have recorded significant pedagogical benefits at the teaching and learning levels. The…
Descriptors: Feedback (Response), Revision (Written Composition), Error Correction, Writing Improvement
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Hamda Hanan; Mufeeda T.; Sajid A. Latheef – Changing English: Studies in Culture and Education, 2025
Earlier research has shown that translation holds the potential to combine close reading and critical authorship practices. But despite that, translation has occupied a marginal position as a creative writing practice in classrooms. Through practice-based research involving the students, the translators and the authors of the translated poems, the…
Descriptors: Writing Instruction, Creative Writing, Translation, Revision (Written Composition)
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Aranzazu Bea Reyes; Carmen Rodríguez-Gonzalo – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
The importance of revision has been recognised by numerous scholars of the teaching and learning of writing (Abad & Rodríguez-Gonzalo, 2023; Bereiter & Scardamalia, 1987; Camps, 2020; Horning & Becker, 2006), especially if it is understood as a recursive and transversal phase that affects all levels of language (Álvarez Angulo, 2011;…
Descriptors: College Students, Collaborative Writing, Revision (Written Composition), Error Correction
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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
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Peter Cardon; Carolin Fleischmann; Minna Logemann; Jeanette Heidewald; Jolanta Aritz; Stephanie Swartz – Business and Professional Communication Quarterly, 2024
Many experts project generative AI will impact the types of competencies that are valued among working professionals. This is the first known academic study to explore the views of business practitioners about the impacts of generative AI on skill sets. This survey of 692 business practitioners showed that business practitioners widely use…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Business Communication, Research
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Mutahar Qassem – Interactive Learning Environments, 2024
This article reports on an empirical study on cognitive processes [i.e. (dis) fluency, temporal management of the translation process, and revision] and their relationship with fluency and adequacy. Based on Jakobsen and Schou's (1999) computational model of human translation, the author utilizes keylogging data retrieved from a Translog-II-based…
Descriptors: Cognitive Processes, Language Fluency, Translation, English
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