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Nazira Tursynbayeva; Umur Öç; Ismail Karakaya – International Journal of Assessment Tools in Education, 2024
This study aimed to measure the effect of rater training given to improve the peer assessment skills of secondary school students on rater behaviors using the many-facet Rasch Measurement model. The research employed a single-group pretest-posttest design. Since all raters scored all students, the analyses were carried out in a fully crossed (s x…
Descriptors: Evaluators, Training, Behavior, Peer Evaluation
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Chengming Zhang; Florian Hofmann; Lea Plößl; Michaela Gläser-Zikuda – Education and Information Technologies, 2024
Reflective practice holds critical importance, for example, in higher education and teacher education, yet promoting students' reflective skills has been a persistent challenge. The emergence of revolutionary artificial intelligence technologies, notably in machine learning and large language models, heralds potential breakthroughs in this domain.…
Descriptors: Foreign Countries, Higher Education, Reflection, Student Writing Models
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Benjamin Motz; Harmony Jankowski; Jennifer Lopatin; Waverly Tseng; Tamara Tate – Grantee Submission, 2024
Platform-enabled research services will control, manage, and measure learner experiences within that platform. In this paper, we consider the need for research services that examine learner experiences "outside" the platform. For example, we describe an effort to conduct an experiment on peer assessment in a college writing course, where…
Descriptors: Educational Technology, Learning Management Systems, Electronic Learning, Peer Evaluation
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Belete Hiluf; Marew Alemu – Asian-Pacific Journal of Second and Foreign Language Education, 2024
In recent years, there has been increasing interest in the role of emotional and motivational intelligence in educational settings. Studies have shown that these factors can significantly impact students' academic performance. However, little attention has been given to the influence of emotional and motivational intelligence on writing…
Descriptors: Factor Analysis, Scoring Rubrics, Writing Evaluation, Correlation
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Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments
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Changlin Li; Nik Aloesnita Nik Mohd Alwi; Mohammad Musab Azmat Ali – Language Teaching Research Quarterly, 2025
To investigate how task complexity cognitive factors influence the lexical complexity in essay writing, this study was guided by Robinson's Cognition Hypothesis (CH) and Skehan's Limited Attentional Capacity Model (LACM), and examined the effects of task complexity on lexical complexity in undergraduates' essay writing. Using Lu's Lexical…
Descriptors: Task Analysis, Difficulty Level, Lexicology, Cognitive Processes
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Yuehai Xiao; Angel Zhao – European Journal of Psychology of Education, 2025
Some previous researchers attempted to bridge the gap between two bodies of research: the role of metacognitive knowledge in second language (L2) writing and L2 collaborative writing (CW). Although recent studies unveiled the positive impacts of learners' metacognitive knowledge on L2 collaborative writing, there is not yet consensus regarding the…
Descriptors: Metacognition, Second Language Instruction, Second Language Learning, Collaborative Writing
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Sherron Killingsworth Roberts; Earlisha Whitfield – Early Childhood Education Journal, 2025
This content analysis examined the evaluative components of elementary, high-stakes, state standardized writing sample rubrics. We explored the ten most populated states in the United States, and thus most influential states, to yield salient trends in writing evaluation for early grades. Using Spandel's analytical traits as our conceptual…
Descriptors: Scoring Rubrics, Writing Evaluation, Trend Analysis, Evaluation Methods
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Gabriel Andrade-Hidalgo; Pedro Mio-Cango; Orlando Iparraguirre-Villanueva – Journal of Academic Ethics, 2025
The rapid advancement of artificial intelligence (AI) has profoundly transformed many people's lives, ChatGPT being a clear example, whose capabilities have substantially influenced the automation of tasks such as writing texts and providing information sources for researchers. This review article aims to understand the impact of AI on academic…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Ethics
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Jussi S. Jauhiainen; Agustín Garagorry Guerra – Innovations in Education and Teaching International, 2025
The study highlights ChatGPT-4's potential in educational settings for the evaluation of university students' open-ended written examination responses. ChatGPT-4 evaluated 54 written responses, ranging from 24 to 256 words in English. It assessed each response using five criteria and assigned a grade on a six-point scale from fail to excellent,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Writing Evaluation
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Aranzazu Bea Reyes; Carmen Rodríguez-Gonzalo – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
The importance of revision has been recognised by numerous scholars of the teaching and learning of writing (Abad & Rodríguez-Gonzalo, 2023; Bereiter & Scardamalia, 1987; Camps, 2020; Horning & Becker, 2006), especially if it is understood as a recursive and transversal phase that affects all levels of language (Álvarez Angulo, 2011;…
Descriptors: College Students, Collaborative Writing, Revision (Written Composition), Error Correction
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Megan McIntyre – Composition Forum, 2025
In response to a growing awareness of the oppressive foundations of educational institutions, literacy educators have turned to antiracist, culturally responsive (Alim and Paris; Paris), and equitable teaching and assessment practices to combat the inequities (colonialism, racism, sexism, homophobia, ableism, etc.) on which our institutions are…
Descriptors: Writing (Composition), Equal Education, Racism, Student Evaluation
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Yue Huang; Joshua Wilson; Henry May – International Journal of Artificial Intelligence in Education, 2025
Automated writing evaluation (AWE) is an artificial intelligence (AI)-empowered educational technology designed to assist writing instruction and improve students' writing proficiency. The present study adopted a quasi-experimental design using the inverse probability of treatment weighting method to explore the long-term effects of an AWE system…
Descriptors: Writing Evaluation, Automation, Computer Uses in Education, Artificial Intelligence
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Friedrich, Nicola; Stagg Peterson, Shelley – Early Years: An International Journal of Research and Development, 2023
In this study, we make the case for using texts children create as part of their play as a means for assessing their developing print literacy knowledge. We assessed 4- and 5-year-old children's authentic texts using categories and criteria from the "Assessing Young Children's Marks/Drawing/Print" tool, a research-based, classroom…
Descriptors: Play, Writing (Composition), Kindergarten, Young Children
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Tessier, Jack T.; Tessier, Lisa M.; Gashler, Daniel; Levitt, Cheryle; London, Julie; West, Benjamin S.; Winters, Nancy – College Teaching, 2023
College faculty faces decisions about how to provide feedback on written work. We compared the quality of student writing and student impressions of feedback from both full and minimal markup methods. There was only one significant difference in the quality of writing or content between full and minimal markup. Students scored the functionality of…
Descriptors: Feedback (Response), Writing Instruction, Writing Improvement, Writing Skills
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