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Jessie S. Barrot – Education and Information Technologies, 2024
This bibliometric analysis attempts to map out the scientific literature on automated writing evaluation (AWE) systems for teaching, learning, and assessment. A total of 170 documents published between 2002 and 2021 in Social Sciences Citation Index journals were reviewed from four dimensions, namely size (productivity and citations), time…
Descriptors: Educational Trends, Automation, Computer Assisted Testing, Writing Tests
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
Meaghan McKenna; Hope Gerde; Nicolette Grasley-Boy – Reading and Writing: An Interdisciplinary Journal, 2025
This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…
Descriptors: Writing Evaluation, Writing Instruction, Preschool Teachers, Kindergarten
Hakyung Sung; Sooyeon Cho; Kristopher Kyle – Language Assessment Quarterly, 2024
Lexical diversity (LD) is an important indicator of second language lexical development. Much research has investigated LD indices, with a focus on learners of English. However, further research is needed in languages that are typologically distinct from English, such as Korean. In this study, we evaluated the reliability and validity of LD…
Descriptors: Second Language Learning, Korean, Persuasive Discourse, Language Tests
Cynthia Puranik; Molly Duncan; Ying Guo – Grantee Submission, 2024
In the present study we examined the contributions of transcription and foundational oral language skills to written composition outcomes in a sample of kindergartners. Two hundred and eighty-two kindergarten students from 49 classrooms participated in this study. Children's writing-related skills were examined using various tasks. Latent…
Descriptors: Oral Language, Language Skills, Writing Skills, Beginning Writing
Mahmoud M. S. Abdallah; Heba Hassan Hemdan; Laila Kamel Eid Ibrahim – Online Submission, 2024
The current research paper investigates the impact of McCarthy's 4MAT model on developing writing skills among upper-grade primary pupils. Sixty-four pupils in six primary-stage grades were chosen as the study participants and were divided randomly into two matched groups (a control group and an experimental one). The researcher adopted the…
Descriptors: Elementary School Students, Models, Writing Instruction, Teaching Methods
Yushan Ke – CALICO Journal, 2024
Phraseology has been flourishing in the field of English writing studies in recent years. However, the focus has primarily been on items with less variability, such as ngrams or lexical bundles. To address this gap, this study investigates concgrams (Cheng et al., 2006), which encompass both constituency and positional variations, in advanced…
Descriptors: Equivalency Tests, High School Equivalency Programs, Writing Tests, Phrase Structure
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Matta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Leyli Kashef; Nasser Ghafoori; Akbar Valizadeh Oghani; Azadeh Mehrpouyan – International Journal of Language Testing, 2024
The present study explored the effects of interactionist Dynamic Assessment (DA) and age on the writing accuracy of IELTS candidates. This research investigated the existence of an interactional effect between the age of learners and the type of treatment they received. First, 140 IELTS candidates were split into two age groups, adult and young.…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Evaluation
Masrul Masrul; Santi Erliana – Journal of Education and Learning (EduLearn), 2024
Writing is hard for students who are learning English; they often find it challenging to transform what is on their mind in writing. Therefore, this study examined the relationship between the writing test and assessment writing through argumentative writing. Data was analyzed using the correlation test to determine the close relationship between…
Descriptors: Writing Tests, Writing Evaluation, Second Language Learning, English (Second Language)
Shin, Dongkwang; Kwon, Suh Keong; Lee, Yongsang – Language Testing in Asia, 2021
Language learners today have access to a much wider choice of resources and language-support tools that aid their writing processes. While research on the convenience and flexibility of the writing resources that learners use in real-life writing activities have argued for a re-conceptualization of writing ability, little is known about the effect…
Descriptors: Second Language Learning, Writing Evaluation, Writing (Composition), Writing Tests
Li, Rui – British Journal of Educational Technology, 2023
Despite the popularity of automated writing evaluation (AWE) that has provoked an increased scholarly interest, synthesized research to comprehensively understand its pedagogical effects is still in paucity. To fill the gap, this study aims to meta-analyse the overall effect of AWE on learners' writing skill development and whether the effect…
Descriptors: Writing Evaluation, Writing Tests, Automation, Writing Skills
Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays
Van A. Lemmon; Lenin C. Grajo – Journal of Occupational Therapy, Schools & Early Intervention, 2023
The Assessment of Written Expression Adaptivity for Assistive Technology (AWE ADAPT for AT) was developed to examine written expression participation in high school-age clients to aid the identification of assistive technology (AT) tools that can be recommended to optimize written expression. The tool is guided by the Occupational Adaptation (OA)…
Descriptors: High School Students, Writing Evaluation, Writing Tests, Assistive Technology