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Andersen, Øistein E.; Yuan, Zheng; Watson, Rebecca; Cheung, Kevin Yet Fong – International Educational Data Mining Society, 2021
Automated essay scoring (AES), where natural language processing is applied to score written text, can underpin educational resources in blended and distance learning. AES performance has typically been reported in terms of correlation coefficients or agreement statistics calculated between a system and an expert human examiner. We describe the…
Descriptors: Evaluation Methods, Scoring, Essays, Computer Assisted Testing
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Gui Wang; Hui Wang; Li Wang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This study investigates the developmental trajectory of progressive construction among Chinese and Japanese EFL learners through a usage-based approach. A total of 600 written essays, produced by EFL learners from China and Japan with proficiency levels ranging from elementary to upper-intermediate, were analyzed. The findings reveal that advanced…
Descriptors: Foreign Countries, Comparative Education, Second Language Learning, English (Second Language)
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Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
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Kamila Misiejuk; Jarle Bastesen; Tatiana Ershova – Innovations in Education and Teaching International, 2025
In this study, we explore the effects of self-reported or suspected generative artificial intelligence (GenAI) use in essay writing on peer assessment and revision patterns among a group of early student adopters. The data were collected from a higher education course, where students engaged in a group peer assessment activity, and analysed using…
Descriptors: Artificial Intelligence, Essays, Writing (Composition), Peer Evaluation
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Mickie De Wet; Margarita Oja Da Silva; René Bohnsack – Innovations in Education and Teaching International, 2025
This study explores the use of large language models (LLMs) to generate feedback on essay-type assignments in Higher Education. Drawing on a seminal feedback framework, it examines the pedagogical and psychological effectiveness of LLM-generated feedback across three cohorts of MBA, MSc, and undergraduate students. Methods included linguistic…
Descriptors: Higher Education, College Students, Artificial Intelligence, Writing Evaluation
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Wang, Jue; Engelhard, George; Combs, Trenton – Journal of Experimental Education, 2023
Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…
Descriptors: Writing Evaluation, Scoring, Accuracy, Computational Linguistics
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Price, Rosa – Changing English: Studies in Culture and Education, 2023
This essay examines a half-term of Year 9 work on "An Inspector Calls," with a particular focus on group discussion, writing in role and class reading of the text. I argue that extensive talking before writing is an invaluable way to elicit pupil insight; I then argue that this is necessarily a collaborative endeavour. I then go on to…
Descriptors: Secondary School Students, Reading Instruction, Group Discussion, Writing (Composition)
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Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
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Seyyed Kazem Banihashem; Nafiseh Taghizadeh Kerman; Omid Noroozi; Jewoong Moon; Hendrik Drachsler – International Journal of Educational Technology in Higher Education, 2024
Peer feedback is introduced as an effective learning strategy, especially in large-size classes where teachers face high workloads. However, for complex tasks such as writing an argumentative essay, without support peers may not provide high-quality feedback since it requires a high level of cognitive processing, critical thinking skills, and a…
Descriptors: Feedback (Response), Peer Evaluation, Artificial Intelligence, Essays
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Christian Tarchi; Lidia Casado-Ledesma; Giulia Sanna; Margherita Conti – European Journal of Psychology of Education, 2024
The demands of learning in the twenty-first century require being skilled in the use and comprehension of multiple documents. Some individual factors such as the metacognitive skill of theory of mind (ToM) are related to this ability. This study investigated the relationship between university students' ability to comprehend multiple documents,…
Descriptors: Theory of Mind, Protocol Analysis, Predictor Variables, Correlation
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Li Bai; Qiuxian Chen – TESL-EJ, 2024
The past few decades have foregrounded cooperative learning and its pedagogical implications for students' academic, psychological, and social gains, particularly, in the Western context. These gains, nonetheless, were sometimes questioned and doubted in the Confucian Heritage Culture (CHC) countries such as China. This study adopts Norton's…
Descriptors: Foreign Countries, Collaborative Writing, English (Second Language), Second Language Learning
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Crystal Chen Lee; Laura Jacobs; Jennifer C. Mann – Urban Education, 2024
This article describes a three-year qualitative study on how youth of color in one community-based organization, Durham Community Youth, used the mentor text, Dr. Martin Luther King Jr.'s "What's your life's blueprint?" speech, as a reflective tool to transform themselves and their community. Using a critical literacy framework, the…
Descriptors: Writing (Composition), Urban Environment, Mentors, Community Organizations
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Tal Waltzer; Celeste Pilegard; Gail D. Heyman – International Journal for Educational Integrity, 2024
The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
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Gonca Subasi; Seda Uner – Shanlax International Journal of Education, 2024
Effective writing requires important features and one of them is cohesion which is necessary to bind a text. Halliday and Hasan (1976) state that grammatical and lexical devices which are called cohesive devices (CDs) create texture. To make a text coherent and understandable, CDs should be used frequently and skilfully. The present study aims to…
Descriptors: Writing Skills, Essays, Opinions, English (Second Language)
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Anthony G. Picciano – Online Learning, 2024
Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…
Descriptors: Teacher Education, Seminars, Technology Uses in Education, Artificial Intelligence
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