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Barbara Bordalejo; Davide Pafumi; Frank Onuh; A. K. M. Iftekhar Khalid; Morgan Slayde Pearce; Daniel Paul O'Donnell – International Journal of Educational Technology in Higher Education, 2025
This paper explores the growing complexity of detecting and differentiating generative AI from other AI interventions. Initially prompted by noticing how tools like Grammarly were being flagged by AI detection software, it examines how these popular tools such as Grammarly, EditPad, Writefull, and AI models such as ChatGPT and Microsoft Bing…
Descriptors: Artificial Intelligence, Writing (Composition), Quality Control, Writing Evaluation
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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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Dan Zhao – Education and Information Technologies, 2025
Artificial intelligence is revolutionizing the education landscape and has been widely applied to language teaching and learning. This study investigates the transformative potential of AI-driven Natural Language Processing (NLP) tools in enhancing writing proficiency, focusing on language precision, content summarization, and creative writing…
Descriptors: Artificial Intelligence, Writing Skills, English (Second Language), Second Language Instruction
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Tessier, Jack T.; Tessier, Lisa M.; Gashler, Daniel; Levitt, Cheryle; London, Julie; West, Benjamin S.; Winters, Nancy – College Teaching, 2023
College faculty faces decisions about how to provide feedback on written work. We compared the quality of student writing and student impressions of feedback from both full and minimal markup methods. There was only one significant difference in the quality of writing or content between full and minimal markup. Students scored the functionality of…
Descriptors: Feedback (Response), Writing Instruction, Writing Improvement, Writing Skills
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Koris, Riina; Pello, Rauno – Assessment & Evaluation in Higher Education, 2023
Writing, supervision and evaluation of students' dissertations has received a fair share of attention in academic literature, with a focus on problems of marking, information processing mechanisms, worldviews and more. In most texts, problems of inconsistency, transparency and fairness are identified, leading to frustration among supervisors,…
Descriptors: Undergraduate Students, Bachelors Degrees, Theses, Writing Evaluation
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Shin, Dongkwang; Kwon, Suh Keong; Lee, Yongsang – Language Testing in Asia, 2021
Language learners today have access to a much wider choice of resources and language-support tools that aid their writing processes. While research on the convenience and flexibility of the writing resources that learners use in real-life writing activities have argued for a re-conceptualization of writing ability, little is known about the effect…
Descriptors: Second Language Learning, Writing Evaluation, Writing (Composition), Writing Tests
Wan Jusoh, Wan Nur Aida Sakinah; Abdul Jobar, Norfaizah; Md Yusoff, Md Zahril Nizam – Online Submission, 2022
This literature review looked at relevant research articles published in reputable journals from 2018 to 2022 to try to shed light on the areas: (1) Implications of using thematic progression pattern to improve the coherence and unity of student essays; and (2) The effects of thematic problems using the thematic progression approach in the…
Descriptors: Essays, Writing Improvement, Writing (Composition), Writing Evaluation
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Tahani I. Aldosemani; Hussein Assalahi; Areej Lhothali; Maram Albsisi – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This paper explores the literature on AWE feedback, particularly its perceived impact on enhancing EFL student writing proficiency. Prior research highlighted the contribution of AWE in fostering learner autonomy and alleviating teacher workloads, with a substantial focus on student engagement with AWE feedback. This review strives to illuminate…
Descriptors: Automation, Student Evaluation, Writing Evaluation, English (Second Language)
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Geng, Jingxin; Razali, Abu Bakar – English Language Teaching, 2022
Automated Writing Evaluation program (AWE) has gained increasing ground in ESL/EFL writing instruction because of its instructional features, such as the instant automated writing score system and the diagnostic corrective feedback in real-time for individual written drafts. However, there is little known about how the automated feedback provided…
Descriptors: Program Effectiveness, Automation, Writing Evaluation, Undergraduate Students
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Noroozi, Omid; Banihashem, Seyyed Kazem; Biemans, Harm J. A.; Smits, Mattijs; Vervoort, Mariëtte T. W.; Verbaan, Caro-Lynn – Education and Information Technologies, 2023
We know little to what extent peer feedback strategies can be applied on a large scale in higher education for complex tasks. This study aimed to design, implement, and evaluate an online-supported peer feedback module for large-scale use to enhance higher education students' argumentative essay writing performance. To do this, 330 students from…
Descriptors: Curriculum Development, Curriculum Implementation, Curriculum Evaluation, Electronic Learning
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Latifi, Saeed; Noroozi, Omid; Talaee, Ebrahim – Interactive Learning Environments, 2023
This study compared the effects of worked example and scripting on students' argumentative peer feedback, essay and learning qualities. Participants were 80 BSc students who were randomly divided over 40 dyads and assigned to two experimental conditions (worked example and scripting). An online peer feedback environment named EduTech was designed…
Descriptors: Persuasive Discourse, Writing (Composition), Essays, Writing Evaluation
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Jing Yan; Yu Zhu; Xinrong Ye – SAGE Open, 2024
Research on how peer feedback affects second language (L2) writing in higher education has been limited. This study examines the impact of peer feedback on revision and literature review writing in learners of Chinese as an L2 at a university in mainland China. The study analyzed feedback, revisions, and writing performance of 30 students. The…
Descriptors: Peer Evaluation, Feedback (Response), Writing Evaluation, Literature Reviews
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Ray, Amber B.; Torres, Caroline; Cao, Yucheng – Exceptionality, 2023
Developing informative writing skills at the elementary level is critical for long-term academic and personal success. This study investigated impacts of a schoolwide implementation of Self-Regulated Strategy Development (SRSD) in inclusive classes to improve elementary students' informative writing and teachers' efficacy and perceptions of…
Descriptors: Writing (Composition), Writing Skills, Writing Strategies, Elementary School Students
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Capous-Desyllas, Moshoula; Bromfield, Nicole F.; Nava, Alexander; Barnes, Breanna – Journal of Social Work Education, 2021
Social workers engage in various types of writing in the educational setting and in diverse practice settings at the micro, mezzo, and macro levels. What they write and how they write has a major impact on people's lives. This teaching note highlights the importance of individualized writing support through a project that used peer writing…
Descriptors: Social Work, Professional Education, Writing Instruction, Undergraduate Students
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Carol Reeves; J. J. Sylvia IV – Journal of Technical Writing and Communication, 2024
Since its release in late 2022, ChatGPT and subsequent generative artificial intelligence (GAI) tools have raised a wide variety of questions and concerns for the field of technical communication: How will these tools be incorporated into professional settings? How might we appropriately integrate these tools into our research and teaching? In…
Descriptors: Computer Simulation, Computer Uses in Education, Writing Instruction, Prompting
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