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Yujia Liu; Emily K. Penner; Sabrina Solanki; Xuehan Zhou – Journal of Education Human Resources, 2025
Identifying high-quality educators at the point of hire can reduce future recruitment costs and minimize the impact of attrition on school organizations and student learning. One low-cost way to screen applicants and learn about their beliefs, values, and pedagogy is through their short-essay writing samples. However, there is limited research…
Descriptors: Teacher Selection, Screening Tests, Essays, Job Applicants
Scott A. Crossley; Minkyung Kim; Quian Wan; Laura K. Allen; Rurik Tywoniw; Danielle S. McNamara – Grantee Submission, 2025
This study examines the potential to use non-expert, crowd-sourced raters to score essays by comparing expert raters' and crowd-sourced raters' assessments of writing quality. Expert raters and crowd-sourced raters scored 400 essays using a standardised holistic rubric and comparative judgement (pairwise ratings) scoring techniques, respectively.…
Descriptors: Writing Evaluation, Essays, Novices, Knowledge Level
Cherish M. Sarmiento; Adrea J. Truckenmiller; Eunsoo Cho; Heqiao Wang – British Journal of Educational Psychology, 2025
Background: Learning to write the complex academic language (AL) associated with a discipline (like science) is a critical task in education, with middle school being a key developmental period. However, we need more research to guide how we assess students' learning to write AL, especially if we want to create assessment that guides more…
Descriptors: Academic Language, Middle School Students, Grade 5, Grade 8
Katherine A. Valentine; Adrea J. Truckenmiller – Intervention in School and Clinic, 2025
Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…
Descriptors: Writing Evaluation, Writing Skills, Student Evaluation, Special Education
Barbara Bordalejo; Davide Pafumi; Frank Onuh; A. K. M. Iftekhar Khalid; Morgan Slayde Pearce; Daniel Paul O'Donnell – International Journal of Educational Technology in Higher Education, 2025
This paper explores the growing complexity of detecting and differentiating generative AI from other AI interventions. Initially prompted by noticing how tools like Grammarly were being flagged by AI detection software, it examines how these popular tools such as Grammarly, EditPad, Writefull, and AI models such as ChatGPT and Microsoft Bing…
Descriptors: Artificial Intelligence, Writing (Composition), Quality Control, Writing Evaluation
Han Zhang; Jamie Costley; Matthew Courtney; Galina Shulgina; Mik Fanguy – Education and Information Technologies, 2025
Depending on the nature of comments made during peer review of academic writing, students may be able to evaluate and revise their performance. Therefore, it is essential to explore how the content of comments affects student writing. Since peer review is a process of interaction, it is critical to understand how comments affect student academic…
Descriptors: Graduate Students, Content Area Writing, Academic Language, Feedback (Response)
Ruth Li – Written Communication, 2025
Students are expected to interpret the complexities and nuances of literary texts yet might struggle with interpreting texts in ways that are valued in literary studies. Examining students' language choices can support instructors and students with developing concrete, explicit understandings of the ways language creates meanings in discourse.…
Descriptors: Linguistics, Writing (Composition), Literature Appreciation, Metalinguistics
Ivar Bråten; Ymkje E. Haverkamp; Natalia Latini; Helge I. Strømsø – Journal of Research in Reading, 2025
Background: A common approach to assessing students' integrated understanding of multiple documents is to analyse their post-reading written reports. This study investigated to what extent writing self-efficacy directly and indirectly (via integrative processing) contributed to multiple-document comprehension as assessed with an integrative…
Descriptors: Writing Instruction, Writing (Composition), Writing Evaluation, Self Efficacy
Shira Besser-Biron; Deborah Bergman Deitcher; Adi Elimelech; Dorit Aram – Reading and Writing: An Interdisciplinary Journal, 2025
Preschool teachers' literacy-related beliefs and literacy knowledge relate to their educational practices and preschoolers' literacy skills. In this light, we explored how preschool teachers' beliefs regarding early literacy and its promotion predict their knowledge, reflected in how they evaluate three young children's writing products and their…
Descriptors: Preschool Teachers, Teacher Attitudes, Beliefs, Literacy
Juan E. Jiménez; Cristina Rodríguez; Jennifer Balade – Reading and Writing: An Interdisciplinary Journal, 2025
The main aim of this study was to evaluate the Early Grade Writing Assessment for Kindergarten (EGWA-K), which is grounded in foundational literacy skills, for its validity and diagnostic accuracy in identifying children at risk of developing early learning disabilities in writing (LDW). To the best of our knowledge, no such tool exists for…
Descriptors: Kindergarten, Writing Evaluation, Writing Skills, Functional Literacy
Jussi S. Jauhiainen; Agustin Bernardo Garagorry Guerra – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…
Descriptors: Artificial Intelligence, Student Evaluation, Writing Evaluation, Feedback (Response)
Dan Zhao – Education and Information Technologies, 2025
Artificial intelligence is revolutionizing the education landscape and has been widely applied to language teaching and learning. This study investigates the transformative potential of AI-driven Natural Language Processing (NLP) tools in enhancing writing proficiency, focusing on language precision, content summarization, and creative writing…
Descriptors: Artificial Intelligence, Writing Skills, English (Second Language), Second Language Instruction
Shawn M. Datchuk; Murphy K. Young; Abigail A. Allen; Leah M. Zimmermann – Intervention in School and Clinic, 2025
Many students with learning disabilities (LD) struggle to develop text-writing fluency: the skill of accurately and efficiently composing multiple words into sentences and passages understandable to readers. In prior studies, researchers have used instructional assessments to control for task difficulty and identify precise areas of text-writing…
Descriptors: Students with Disabilities, Learning Disabilities, Writing Skills, Writing (Composition)
Siyi Cao; Yizhong Xu; Tongquan Zhou; Siruo Zhou – Education and Information Technologies, 2025
ChatGPT has been demonstrated to possess significant capabilities in generating intricate human-like text, and recent studies have established that its performance in theory of mind (ToM) tasks is strikingly comparable to a nine-year-old child's. However, it remains unknown whether ChatGPT outperforms children of this age group in Chinese writing,…
Descriptors: Foreign Countries, Artificial Intelligence, Theory of Mind, Chinese
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