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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)
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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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Benali, Ameni – English Language Teaching, 2021
It is undeniable that attempts to develop automated feedback systems that support and enhance language learning and assessment have increased in the last few years. The growing demand for using technology in the classroom and the promotions provided by automated- written-feedback program developers and designers, drive many educational…
Descriptors: Writing Evaluation, Writing Instruction, Feedback (Response), English (Second Language)
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Yasuyo Sawaki; Yutaka Ishii; Hiroaki Yamada; Takenobu Tokunaga – Language Testing in Asia, 2024
The present paper provides an overview of an online module for formative assessment of summary writing skills for second language (L2) introductory academic writing instruction in Japan and presents initial empirical results on how Japanese undergraduate students' summary writing performance changed with a series of automated summary content…
Descriptors: Formative Evaluation, Writing Evaluation, Language Usage, Task Analysis
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Mohsen, Mohammed Ali – Journal of Educational Computing Research, 2022
Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Awada, Ghada M.; Diab, Nuwar Mawlawi – Computer Assisted Language Learning, 2023
This study set out to examine which peer review, face-to-face given orally or online given in writing, is more effective in improving the overall argumentative writing achievement of English as a foreign language (EFL) university learners. The study utilized an experimental design and reported on one experiment including online peer review (OLPR)…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), College Students
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Zhai, Na; Ma, Xiaomei – Journal of Educational Computing Research, 2023
Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…
Descriptors: Writing Evaluation, Feedback (Response), Meta Analysis, English (Second Language)
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Chen, Yan; Mayall, Hayley J.; Smith, Thomas J.; York, Cynthia S. – AERA Online Paper Repository, 2023
This study reports the integrated findings of a mixed-methods sequential explanatory study that investigated the feasibility and effectiveness of mobile-based writing tools (MBWTs) as well as gender differences that emerged from these learning effects in the narrative writing skills of a group of sixth to seventh grade Latinx English Learners…
Descriptors: Cultural Background, Gender Differences, Writing Instruction, Writing Skills
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Hattie, John; Crivelli, Jill; Van Gompel, Kristin; West-Smith, Patricia; Wike, Kathryn – Online Submission, 2021
Feedback is powerful but variable. This study investigates which forms of feedback are more predictive of improvement to students' essays, using "Turnitin Feedback Studio"--a computer augmented system to capture teacher and computer-generated feedback comments. The study used a sample of 3,204 high school and university students who…
Descriptors: Feedback (Response), Writing Evaluation, High School Students, Undergraduate Students
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Dunn, Michael – Education Sciences, 2021
Writing is a necessary skill in our technological world. Many people have a mobile device that they use for e-mailing, social media, as an alarm clock to start the day, reading the news, searching for information, ordering food, managing transportation (e.g., monitoring traffic, accessing public transit), or for relaxing pursuits, such as watching…
Descriptors: Teaching Methods, Writing Instruction, Writing Strategies, Writing Difficulties
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Lachner, Andreas; Backfisch, Iris; Nückles, Matthias – Educational Technology Research and Development, 2018
Students are often challenged by the demand of writing cohesive explanatory texts. Prior research has shown that providing students with concept map feedback that visualizes explanatory cohesion deficits helped students generate more cohesive explanations. We conducted an experiment to investigate whether the accuracy of the provided information…
Descriptors: Accuracy, Concept Mapping, Feedback (Response), Writing (Composition)
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Dizon, Gilbert; Gayed, John M. – JALT CALL Journal, 2021
While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…
Descriptors: Foreign Countries, College Students, Writing Evaluation, Computer Software
Wang, Elaine Lin; Matsumura, Lindsay Clare; Correnti, Richard; Litman, Diane; Zhang, Haoran; Howe, Emily; Magooda, Ahmed; Quintana, Rafael – Grantee Submission, 2020
We investigate students' implementation of the feedback messages they received in an automated writing evaluation system ("eRevise") that aims to improve students' use of text evidence in their writing. Seven 5th and 6th-grade teachers implemented "eRevise" (n = 143 students). Qualitative analysis of students' essays across…
Descriptors: Feedback (Response), Writing Evaluation, Computer Software, Grade 5
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Wilson, Joshua; Roscoe, Rod D. – Journal of Educational Computing Research, 2020
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Instructional Effectiveness
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Lazic, Dragana – Research-publishing.net, 2020
The poster discusses the possibilities of technology-assisted peer feedback in English as a Foreign Language (EFL) writing classrooms among low proficiency students. It is a part of an ongoing research project developed after a study conducted in the first half of 2019 (Lazic & Tsuji, 2020a, 2020b). The first goal is to explore the…
Descriptors: Peer Evaluation, Feedback (Response), Academic Language, Writing Improvement
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