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Gilbert Dizon; John M. Gayed – Cogent Education, 2024
The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…
Descriptors: Literature Reviews, Meta Analysis, Second Language Learning, Writing Evaluation
Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
Xiaoli Huang; Wei Xu; Fan Li; Zhonggen Yu – Asia-Pacific Education Researcher, 2024
With the rapid advancement of information technologies, automated writing evaluation technologies have developed so fast that they can be applied to writing assessments. However, scanty studies have pooled the effects of automated writing evaluation on writing performance. Through a PRISMA protocol-based meta-analysis, this study concludes that…
Descriptors: Writing Evaluation, Automation, Writing Attitudes, Anxiety
Winfred Wenhui Xuan; Shukun Chen – Australian Review of Applied Linguistics, 2025
Evaluative language is crucial in English for Academic Purposes (EAP) writing, particularly in expressing authorial stance and supporting arguments. Among various linguistic frameworks, appraisal in Systemic Functional Linguistics (SFL) has been extensively used to map and assess evaluative linguistic features. Since its inception in the early…
Descriptors: English for Academic Purposes, Writing Evaluation, Writing Research, Writing Instruction
Qing-Ke Fu; Di Zou; Haoran Xie; Gary Cheng – Computer Assisted Language Learning, 2024
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the…
Descriptors: Journal Articles, Automation, Writing Evaluation, Feedback (Response)
Faisal Idris; Nur Ehsan Mohd Said; Nur Ainil Sulaiman – Journal of Education and Learning (EduLearn), 2025
The concept of content and language integrated learning (CLIL) for English as a foreign language (EFL) writing has been extensively investigated to aid language acquisition; however, there is a paucity of knowledge regarding its impact on a specific element of writing development. This systematic literature review aimed at exploring the impacts of…
Descriptors: Research Reports, Content and Language Integrated Learning, Databases, English (Second Language)
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)
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
Listiani Listiani; Marianne Nikolov; Ágnes Hódi – TESL-EJ, 2024
Over the past two decades, multiple empirical studies have examined how teacher audio feedback works in EFL/ESL writing courses. This review explores instructor audio feedback studies in higher education writing contexts. Seventy empirical studies were identified in literature searches published between 2000 and 2022 in several academic databases.…
Descriptors: Teaching Methods, Writing Instruction, English (Second Language), Second Language Learning
Pong-ampai Kongcharoen; Jiraporn Dhanarattigannon; Tirote Thongnuan – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
This study aimed to investigate the lexical competence of English-major EFL students. The learner corpus comprised 552 pieces of writing by sophomore English majors during five academic years between 2017 and 2021, containing 190,506words in total. The results from Vocab Profile program showed that these students used words contained in the…
Descriptors: Foreign Countries, English Departments, Writing Assignments, Majors (Students)
Zhaoyu Yang; Ping Wang – Language Testing in Asia, 2025
This study offers a bibliometric overview of the English language assessment research from 1992 to 2024. It aims to uncover the current state, research trends, and future directions of the field. A total of 927 articles published in Web of Science (WoS) were analyzed using the VOSviewer bibliometric software tool. Based on the sample of 927…
Descriptors: Bibliometrics, English (Second Language), Second Language Learning, Periodicals
Jiyeo Yun – English Teaching, 2023
Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…
Descriptors: Meta Analysis, Interrater Reliability, Essays, Scoring
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
Thi, Nang Kham; Nikolov, Marianne – TESL-EJ, 2021
With a considerable emphasis on the role of feedback in L2 writing, the effectiveness of written corrective feedback (WCF) has been investigated extensively over the past 25 years. Conflicting findings have been reported regarding the efficacy of WCF in developing learners' written accuracy. This paper provides an in-depth analysis of research on…
Descriptors: Accuracy, Feedback (Response), Second Language Learning, Second Language Instruction
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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