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Norphealey Eang; Sirirat Petsangsri; John Morris – LEARN Journal: Language Education and Acquisition Research Network, 2025
English writing and critical thinking are not only fundamental to academic success but also play a crucial role for the holistic development of primary students. This study investigated the effects of a cloud-based gamified instruction integrating peer assessment on primary student English writing and critical thinking. A pre- and post-test with a…
Descriptors: Game Based Learning, Computer Software, Grade 6, Critical Thinking
Ebadi, Saman; Gholami, Mina; Vakili, Shokoufeh – Computers in the Schools, 2023
Online grammar checkers have increasingly been used in writing instruction to detect and remove English as a foreign language (EFL) learners' grammatical errors. This study investigated the effects of the automated writing evaluation software "Grammarly" on Iranian EFL learners' article errors which are common in EFL writing. Ninety…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Mohamed Mekheimer – Discover Education, 2025
This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Ralf Giessler – Language Awareness, 2024
This paper reports on a pilot study with advanced EFL learners in Germany who were asked to use ProWritingAid (PWA) for a composition task in a German comprehensive school. PWA is an Automated Writing Evaluation (AWE) tool that provides writers with feedback on grammar, spelling mistakes, and writing style during the writing and editing process.…
Descriptors: Writing Evaluation, Writing Instruction, Foreign Countries, English (Second Language)
Fan, Ning; Ma, Yingying – Language Teaching Research Quarterly, 2022
The purpose of this review is to examine the effects of automated writing evaluation (AWE) feedback on students' English writing performance. We systematically reviewed studies that have empirically focused on this purpose. This review uses several combinations of key words to search in the databases of JSTOR, SSCI, and ERIC for peer-reviewed…
Descriptors: Writing Evaluation, Student Evaluation, English (Second Language), Second Language Learning
Petra Polakova; Petra Ivenz – Cogent Education, 2024
This study investigates the effectiveness of ChatGPT feedback in enhancing the writing skills of Gen Z students, who constitute a significant portion of today's global population. Utilizing a mixed-methods approach, the research explores both quantitative and qualitative aspects of students' interactions with ChatGPT in the context of foreign…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Technology Uses in Education
Liu, Chen-Chen; Liu, Shi-Jie; Hwang, Gwo-Jen; Tu, Yun-Fang; Wang, Youmei; Wang, Naini – Education and Information Technologies, 2023
With the rapid development of Artificial Intelligence, automatic writing evaluation (AWE) has received much attention from English Foreign Language (EFL) writing teachers. However, the obstacles and potential problems of integrating AWE in EFL writing instruction have yet to be explored. Scholars have indicated that the effectiveness of AWE in EFL…
Descriptors: Learner Engagement, English (Second Language), Second Language Learning, Second Language Instruction
Vandermeulen, Nina; Van Steendam, Elke; De Maeyer, Sven; Rijlaarsdam, Gert – Written Communication, 2023
This intervention study aimed to test the effect of writing process feedback. Sixty-five Grade 10 students received a personal report based on keystroke logging data, including information on several writing process aspects. Participants compared their writing process to exemplar processes of equally scoring (position-setting condition) or…
Descriptors: Intervention, Writing Processes, Feedback (Response), Futures (of Society)
Kong, Siu-Cheung; Kwok, Wai-Ying; Poon, Chun-Wing – Technology, Pedagogy and Education, 2021
The study presents outcomes of students at a higher education institution in walking through a learning trail guided by a mobile application for enhancing their understanding of academic integrity. A framework which consisted of topic-specific bilingual keywords was proposed to support students to reflect on the key concepts embedded in the…
Descriptors: Integrity, Outcomes of Education, Bilingualism, Information Retrieval
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)
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
Johnson, William F.; Stellmack, Mark A.; Barthel, Abigail L. – Teaching of Psychology, 2019
Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…
Descriptors: Feedback (Response), Writing Evaluation, Writing Assignments, Educational Technology
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
Guo, Qian; Feng, Ruiling; Hua, Yuanfang – Computer Assisted Language Learning, 2022
AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Huang, Shu; Renandya, Willy A. – Innovation in Language Learning and Teaching, 2020
This article reports on an exploratory study which investigated the impact of automated feedback in a writing class among some Chinese EFL university learners who were at a lower language level. In particular, the study explored the students' perceptions of Pigai, the largest and most popular locally designed automated writing evaluation system…
Descriptors: English (Second Language), College Students, Second Language Learning, Second Language Instruction
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