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Fernando Martinez; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao – International Educational Data Mining Society, 2024
Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Natural Language Processing
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John Bankier – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
The theory of language socialization and its subfield academic discourse socialization consider how newcomers are socialized into the practices and identities of communities through interaction with various communicative partners. Drawing on the framework of individual networks of practice, this case study considers the academic writing practices…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Hetian Yu; Qin Xie – Language Teaching Research Quarterly, 2025
Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Revision (Written Composition)
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Yuguo Ke; Xiaozhen Zhou – SAGE Open, 2025
Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…
Descriptors: Writing Evaluation, Persuasive Discourse, Validity, Writing Teachers
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Daniel R. Fredrick; Thomas P. Corbin Jr.; Gregory VanderPyl – Athens Journal of Education, 2025
This paper analyzes essay writing in AI (ChatGPT) and high school students, focusing on their use of specific details. Discussing the writing examples from Waltzer, Cox, and Heyman's study, we employ Aristotle's rhetorical theory to explore how clarity is achieved through specificity in writing. The analysis reveals both ChatGPT and students…
Descriptors: Artificial Intelligence, Technology Integration, Computer Software, Essays
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Angela Choi Fung Tam – Assessment & Evaluation in Higher Education, 2025
Research consistently shows the importance of teacher and peer feedback in enabling students to generate internal feedback for improved learning. However, the utilisation of Generative Pre-Trained Transformer (ChatGPT) to support higher education students in generating internal feedback lacks clarity. This qualitative case study aimed to explore…
Descriptors: Artificial Intelligence, Feedback (Response), Educational Quality, Writing Evaluation
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Xi Cao; Yu-Jia Lin; Jia-Hui Zhang; Yi-Ping Tang; Meng-Ping Zhang; Hao-Yue Gao – Education and Information Technologies, 2025
This cross-sectional study explores Chinese college students' perceptions of ChatGPT in higher education, focusing on their attention, interest, and attitude. Students (N = 476) were surveyed from 67 universities and colleges in 17 provinces and municipalities in China. Students were generally positive about the use of ChatGPT. They recognized…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Educational Benefits
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Arzu Atasoy; Saieed Moslemi Nezhad Arani – Education and Information Technologies, 2025
There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…
Descriptors: Writing (Composition), Writing Evaluation, Student Evaluation, Artificial Intelligence
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Xuechen Hu; Yingliang Liu – Asia-Pacific Education Researcher, 2025
Recent studies on argumentative writing prioritize linguistic and textual features over structural or content aspects, and students' development in argumentation skills has received little attention. This longitudinal study examined EFL students' development in argumentative writing, including the overall writing quality, argument structure, and…
Descriptors: Persuasive Discourse, Discourse Analysis, Writing (Composition), Second Language Learning
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Wesley Morris; Scott Crossley; Langdon Holmes; Chaohua Ou; Mihai Dascalu; Danielle McNamara – International Journal of Artificial Intelligence in Education, 2025
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need to make them more interactive arises. An alternative is to ask students to generate knowledge in response to textbook content and provide feedback about the produced knowledge. This study develops Natural Language Processing models to automatically…
Descriptors: Formative Evaluation, Feedback (Response), Textbooks, Artificial Intelligence
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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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Mierwald, Marcel; Lehmann, Thomas; Brauch, Nicola – European Journal of Psychology of Education, 2022
Recent research has repeatedly raised the question of how the authenticity of learning material affects learning outcomes. This question is particularly important for history education: researchers continue to debate whether teachers should use historians' authentic working material (e.g., multiple primary sources and historical accounts) or less…
Descriptors: Instructional Materials, Persuasive Discourse, Writing (Composition), History Instruction
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Sohrabi, Zohre; Ghanbari, Nasim; Abbasi, Abbas – Language Testing in Asia, 2022
Despite a surge of interest in language teacher assessment literacy, teachers' writing assessment literacy (WAL) has received little attention. When considering the issue in the particular Iranian EFL context, it becomes more significant since exploring the context shows the lack of a countrywide and systematic study on EFL teachers' WAL.…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Writing Evaluation
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Pinot de Moira, Anne; Wheadon, Christopher; Christodoulou, Daisy – Research in Education, 2022
Writing is generally assessed internationally using rubric-based approaches, but there is a growing body of evidence to suggest that the reliability of such approaches is poor. In contrast, comparative judgement studies suggest that it is possible to assess open ended tasks such as writing with greater reliability. Many previous studies, however,…
Descriptors: Writing Evaluation, Classification, Accuracy, Scoring Rubrics
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Bolton, Tiffany; Stevenson, Brittney; Janes, William – Journal of Occupational Therapy, Schools & Early Intervention, 2023
Researchers utilized a cross-sectional secondary analysis of data within an ongoing non-randomized controlled trial study design to establish the reliability and internal consistency of a novel handwriting assessment for preschoolers, the Just Write! (JW), written by the authors. Seventy-eight children from an area preschool participated in the…
Descriptors: Handwriting, Writing Skills, Writing Evaluation, Preschool Children
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