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Yi Xue – Education and Information Technologies, 2024
The new era of generative artificial intelligence has sparked the blossoming academic fireworks in the realm of education and information technologies. Driven by natural language processing (NLP), automated writing evaluation (AWE) tools become a ubiquitous practice in intelligent computer-assisted language learning (CALL) environments. Based on…
Descriptors: Literature Reviews, Meta Analysis, Bibliometrics, Artificial Intelligence
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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
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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)
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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
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Huawei, Shi; Aryadoust, Vahid – Education and Information Technologies, 2023
Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Automation
Bünyamin Ispir; Ali Yildiz – Online Submission, 2023
The study aims to discuss of the implementation process for writing to learn activities. The document review method has been used in the research containing qualitative data. Data were obtained from scientific articles, books, and presentations containing information about the general characteristics of process-oriented writing and writing to…
Descriptors: Writing Processes, Learning Activities, Learning Processes, Writing Instruction
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Nunes, Andreia; Cordeiro, Carolina; Limpo, Teresa; Castro, São Luís – Journal of Computer Assisted Learning, 2022
Background: Automated Writing Evaluation (AWE) systems to aid writing learning and instruction in primary and secondary education are growing increasingly popular. However, their effectiveness is hardly known. We conducted a systematic review focusing on the effects of these systems providing writing feedback to students in school settings.…
Descriptors: Writing Evaluation, Automation, Program Evaluation, Writing Instruction
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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)
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Mamad, Abderrahim – Hungarian Educational Research Journal, 2023
Feedback literacy in higher education has come as a reaction to the ineffective focus on teacher's delivery of feedback and its passive reception by students rather than on students' active participation in receiving feedback and constructing it (Nicol & Macfarlane-dick, 2006; Nicol, 2019). Therefore, the aim of this theoretical paper is to…
Descriptors: Feedback (Response), Literacy, Higher Education, Undergraduate Students
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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Linqian Ding; Di Zou – Education and Information Technologies, 2024
With the burgeoning popularity and swift advancements of automated writing evaluation (AWE) systems in language classrooms, scholarly and practical interest in this area has noticeably increased. This systematic review aims to comprehensively investigate current research on three prominent AWE systems: Grammarly, Pigai, and Criterion. Objectives…
Descriptors: Automation, Writing Evaluation, Literature Reviews, Computer Software
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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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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
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