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Arifi N. Waked; Hanadi Abdelsalem; Muhammad Waqar Ashraf; Maura Pilotti; Khadija El Alaoui – International Society for Technology, Education, and Science, 2024
Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best…
Descriptors: Artificial Intelligence, Writing Tests, Plagiarism, Accuracy
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
Sciurba, Katie; Uphus, Kate; Escobar, Sonia – Reading Teacher, 2022
In this teaching tip, we--a literacy professor and two K-12 teachers--encourage a rethinking of the baseline writing assessment by sharing our experiences with "The Paper Selfie," an activity that juxtaposes the arts and young people's personal writing. By centering students' identities, their hopes, beliefs, dreams, and realities,…
Descriptors: Writing Tests, Personal Narratives, Fine Arts, Identification (Psychology)
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
Stuart, N. J.; Barnett, A. L. – British Journal of Special Education, 2023
Students in higher education (HE) are required to complete a variety of writing tasks for coursework and examinations. However, for some students writing presents a major challenge. In the UK, the availability of tools for specialist assessors to help identify difficulties with the quality of written composition is limited. The aim of this study…
Descriptors: Writing Skills, Writing Difficulties, Writing (Composition), Test Construction
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
John Elwood Romig; Hannah M. Mathews; Amanda A. Olsen – Behavioral Disorders, 2024
Students with emotional and behavioral challenges often struggle with writing. Curriculum-based measurement (CBM) is an assessment used for a variety of purposes including screening, progress monitoring, and data-based individualization. However, little research has examined technical properties of writing CBM data and supported inferences. This…
Descriptors: Curriculum Based Assessment, English (Second Language), Writing Ability, Language Tests
Xiaoting Shi; Xiaomei Ma; Wenbo Du; Xuliang Gao – Language Testing, 2024
Cognitive diagnostic assessment (CDA) intends to identify learners' strengths and weaknesses in latent cognitive attributes to provide personalized remedial instructions. Previous CDA studies on English as a Foreign Language (EFL)/English as a Second Language (ESL) writing have adopted dichotomous cognitive diagnostic models (CDMs) to analyze data…
Descriptors: Writing Evaluation, Writing Tests, Diagnostic Tests, English (Second Language)
Takanori Sato – Language Testing, 2024
Assessing the content of learners' compositions is a common practice in second language (L2) writing assessment. However, the construct definition of content in L2 writing assessment potentially underrepresents the target competence in content and language integrated learning (CLIL), which aims to foster not only L2 proficiency but also critical…
Descriptors: Language Tests, Content and Language Integrated Learning, Writing Evaluation, Writing Tests
Wang, Jue; Engelhard, George, Jr. – Educational and Psychological Measurement, 2019
The purpose of this study is to explore the use of unfolding models for evaluating the quality of ratings obtained in rater-mediated assessments. Two different judgmental processes can be used to conceptualize ratings: impersonal judgments and personal preferences. Impersonal judgments are typically expected in rater-mediated assessments, and…
Descriptors: Evaluative Thinking, Preferences, Evaluators, Models
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Michael Matta; Milena A. Keller-Margulis; Sterett H. Mercer – Grantee Submission, 2022
Although researchers have investigated technical adequacy and usability of written-expression curriculum-based measures (WE-CBM), the economic implications of different scoring approaches have largely been ignored. The absence of such knowledge can undermine the effective allocation of resources and lead to the adoption of suboptimal measures for…
Descriptors: Cost Effectiveness, Scoring, Automation, Writing Tests
Yu-Tzu Chang; Ann Tai Choe; Daniel Holden; Daniel R. Isbell – Language Testing, 2024
In this Brief Report, we describe an evaluation of and revisions to a rubric adapted from the Jacobs et al.'s (1981) ESL COMPOSITION PROFILE, with four rubric categories and 20-point rating scales, in the context of an intensive English program writing placement test. Analysis of 4 years of rating data (2016-2021, including 434 essays) using…
Descriptors: Language Tests, Rating Scales, Second Language Learning, English (Second Language)
Katy Dyson; Laura Piestrzynski – Dimensions of Early Childhood, 2025
Emergent writing--the process where young children begin to experiment with written language--is an important contributor to the development of literacy skills. One way for teachers to support the development of writing skills in preschool-aged children is by integrating the Classroom Assessment Scoring System (CLASS) as a framework to foster…
Descriptors: Writing Instruction, Teaching Methods, Beginning Writing, Preschool Children

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