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Showing 1 to 15 of 102 results Save | Export
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Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
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Conijn, Rianne; Cook, Christine; van Zaanen, Menno; Van Waes, Luuk – International Journal of Artificial Intelligence in Education, 2022
Feedback is important to improve writing quality; however, to provide timely and personalized feedback is a time-intensive task. Currently, most literature focuses on providing (human or machine) support on product characteristics, especially after a draft is submitted. However, this does not assist students who struggle "during" the…
Descriptors: Writing Skills, Teacher Response, Writing (Composition), Writing Evaluation
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Ruth Li – Thresholds in Education, 2025
In this article, I introduce a collaborative annotation activity that supports students in critically examining AI-generated writing in relation to criteria including specificity and complexity. I engage students in collaboratively annotating the AI-generated essays, guiding students to identify instances in which the essays could be more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
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Shujun Liu; Azzeddine Boudouaia; Xinya Chen; Yan Li – Asia-Pacific Education Researcher, 2025
The application of Automated Writing Evaluation (AWE) has recently gained researchers' attention worldwide. However, the impact of AWE feedback on student writing, particularly in languages other than English, remains controversial. This study aimed to compare the impacts of Chinese AWE feedback and teacher feedback on Chinese writing revision,…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Writing Evaluation
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Taichi Yamashita – Computer Assisted Language Learning, 2024
The present paper reports on the effectiveness and inclusiveness of human-delivered synchronous written corrective feedback (SWCF) in paired writing tasks. Replicating Yamashita, Study 2 and Study 3 each conducted a classroom-based quasi-experimental study in an English-as-a-Second-Language (ESL) writing program at an American university. In Study…
Descriptors: Synchronous Communication, Feedback (Response), Student Evaluation, Written Language
Cengiz Zopluoglu; Gerald Tindal – Behavioral Research and Teaching, 2023
WriteRightNow (https://writerightnow.com) is an innovative digital platform meticulously crafted to enhance writing instruction across various curricula. Central to its design is the customization of instructional content, allowing for a multi-faceted approach that caters to diverse student needs, including those with special educational…
Descriptors: Automation, Grading, Educational Technology, Technology Uses in Education
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Qiufang Zheng – Educational Technology Research and Development, 2025
In the context of process-oriented writing instruction, the significance of engaging students in draft revision is widely acknowledged (McGarrell and Verbeem, ELT Journal 61:228-236, 2007). Nevertheless, L2 learners often exhibit limited motivation for writing, leading to inadequate revision efforts. This quasi-experimental study investigates the…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Writing Instruction, Writing Evaluation
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
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Esma Senel – Journal of Learning for Development, 2025
Whether dealing with their native or a foreign language, both teachers and students have consistently found writing skills to be difficult to achieve. Students are concerned about initiating and structuring their thoughts, while teachers struggle to inspire their students to improve their writing capabilities. Hence, this experimental study…
Descriptors: Foreign Countries, Undergraduate Students, College Faculty, Writing (Composition)
Hillary Greene Nolan; Merijke Coenraad; Viki Young – Digital Promise, 2024
This study investigates how teachers understand and position AI tools in middle school writing instruction, drawing on 27 teacher interviews collected during a study called Project Topeka that used an interactive argumentative writing platform with AI-generated scores and feedback. Based on the interviews, we generate an initial theoretical…
Descriptors: Writing Instruction, Computer Assisted Instruction, Artificial Intelligence, Computer Uses in Education
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Stephen Foster; Denise Whitelock; Simon Cross; Karen Kear – Prism: Casting New Light on Learning, Theory & Practice, 2022
"OpenEssayist" is an automated writing evaluation system (AWE) designed to provide immediate textual and graphical feedback to students to help them improve their academic writing. One of the graphical visualisations as part of "OpenEssayist," (named a 'rainbow diagram'), illustrates how well the key concepts within the writing…
Descriptors: Foreign Countries, Doctoral Students, Writing (Composition), Writing Instruction
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Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
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Saadet Korucu-Kis – Computer Assisted Language Learning, 2025
Although a number of studies examined the use of social networking sites (SNSs) in academic writing instruction, these studies mainly revolve around social media centered on microblogging features. Despite living in a visually dominated world, the potential of visual social media such as Instagram whereby the textual, the visual and the social can…
Descriptors: Writing (Composition), Writing Instruction, Visual Aids, Social Media
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
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Hoang, Giang Thi Linh – JALT CALL Journal, 2022
This study examines the implementation of "Criterion," an automated writing evaluation system developed by ETS, as a source of diagnostic feedback on learners' linguistic performance in a Vietnamese EFL writing classroom. Thirty-eight second-year English majors had access to "Criterion" for a five-month period. Data include…
Descriptors: Feedback (Response), Student Reaction, Writing Evaluation, Second Language Learning
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