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Aurélien Riondel – Interpreter and Translator Trainer, 2024
Revision is an important -- sometimes mandatory -- step in the production of translations. As such, it is part of the EMT competence framework and increasingly taught in training institutions. Material is available to teachers, but it mainly consists of texts based on personal experience or accounts from the classroom. This article takes stock of…
Descriptors: Foreign Countries, Translation, Audits (Verification), Revision (Written Composition)
Fernando Prieto Ramos; Diego Guzmán – Interpreter and Translator Trainer, 2024
The relevance of translation and law degrees as pathways to professional legal translation is the subject of persistent debate, but there is limited research on the relationship between legal translators' backgrounds and competence levels in practice. This study compares the revision performance of several groups of institutional translators (44…
Descriptors: Translation, Laws, Quality Assurance, Revision (Written Composition)
Rebecca Rohloff; Jackie Ridley; Margaret F. Quinn; Xiao Zhang – Early Childhood Education Journal, 2025
Early writing includes both transcription skills (e.g., handwriting and spelling) and composing skills (e.g., the generation, manipulation, and translation of ideas into writing), yet early composing is not as well understood in academic research or by classroom educators. This study seeks to understand 1) how children retained or modified core…
Descriptors: Childrens Writing, Writing Processes, Concept Formation, Prewriting
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
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
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)
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)
Ziqian Wei; Shuting Yin; Roy B. Clariana; Xuqian Chen – Educational Technology Research and Development, 2025
Theories and practices to enhance multiple document comprehension and integration are crucial in both personal and work contexts, especially with the proliferation of printed and online sources. This experimental investigation replicates and extends (Wei et al., Educational Technology Research and Development 72:661-685, 2024) to examine how…
Descriptors: Prereading Experience, Expository Writing, Descriptive Writing, Prompting
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
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
Adrian J. Rivera – Journal of Response to Writing, 2025
Continuous revision policies provide sizable benefits to students, though one previously unexplored avenue of research is how such policies can help students develop a growth mindset. For the purposes of this article, a "continuous revision policy" is one in which students can revise their work on a rolling basis up until a predetermined…
Descriptors: Revision (Written Composition), Writing Skills, Basic Writing, Writing Instruction
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
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
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
Kubra Ozmen; H. Pelin Karasu; Elif Akay – International Electronic Journal of Elementary Education, 2025
Written expressions encompass putting events, emotions, and thoughts on paper with the written symbols of a language in compliance with its rules. Even with cochlear implants, students with hearing loss who experience delays in language and academic skills face various difficulties in written expression skills. Editing and revising studies, which…
Descriptors: Assistive Technology, Secondary School Students, Hard of Hearing, Deafness

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