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Qinghao Guan; Yangxi Han – Innovations in Education and Teaching International, 2025
As generative AI (GenAI) continues to permeate academia, distinguishing between student-authored essays and those by Large Language Models (LLMs) becomes crucial for maintaining academic integrity. This study conducted a survey on the ethical awareness of using generative AI tools among a group of STEM students (n=156). Also, we empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
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Kirkwood Adams; Maria G. Baker – Thresholds in Education, 2025
In response to (1) studies finding that essay feedback generated by ChatGPT might be useful for student writers and (2) studies observing ChatGPT's tendency to adhere to narrow genre definitions when producing writing, our study seeks to examine whether ChatGPT can provide useful feedback in a first-year writing learning environment that targets a…
Descriptors: Freshman Composition, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Hosnia M. M. Ahmed; Shaymaa E. Sorour – Education and Information Technologies, 2024
Evaluating the quality of university exam papers is crucial for universities seeking institutional and program accreditation. Currently, exam papers are assessed manually, a process that can be tedious, lengthy, and in some cases, inconsistent. This is often due to the focus on assessing only the formal specifications of exam papers. This study…
Descriptors: Higher Education, Artificial Intelligence, Writing Evaluation, Natural Language Processing
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Yanxuan Qu; Sandip Sinharay – ETS Research Report Series, 2024
The goal of this paper is to find better ways to estimate the internal consistency reliability of scores on tests with a specific type of design that are often encountered in practice: tests with constructed-response items clustered into sections that are not parallel or tau-equivalent, and one of the sections has only one item. To estimate the…
Descriptors: Test Reliability, Essay Tests, Construct Validity, Error of Measurement
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Scott Crossley; Yu Tian; Joon Suh Choi; Langdon Holmes; Wesley Morris – International Educational Data Mining Society, 2024
This study examines the potential to use keystroke logs to examine differences between authentic writing and transcribed essay writing. Transcribed writing produced within writing platforms where copy and paste functions are disabled indicates that students are likely copying texts from the internet or from generative artificial intelligence (AI)…
Descriptors: Plagiarism, Writing (Composition), Essays, Artificial Intelligence
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Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
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Gebremariam, Hailay Tesfay; Asgede, Dagnew Mache – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Reflection in education has seen an upsurge in research interest since as reported by Dewey (How we think, Prometheus Books, Buffalo, 1991) ground-breaking work, which plays an integral role in fostering students' self-reflection and demonstrable learning skills. However there have not been enough studies to determine whether writing instruction…
Descriptors: Self Evaluation (Individuals), Reflection, Essays, Writing Improvement
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Lemantara, Julianto; Hariadi, Bambang; Sunarto, M. J. Dewiyani; Amelia, Tan; Sagirani, Tri – IEEE Transactions on Learning Technologies, 2023
A quick and effective learning assessment is needed to evaluate the learning process. Many tools currently offer automatic assessment for subjective and objective questions; however, there is no such free tool that provides plagiarism detection among students for subjective questions in a learning management system (LMS). This article aims to…
Descriptors: Students, Cheating, Prediction, Essays
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Aneet Dharmavaram Narendranath; Jeffrey S. Allen – Journal of STEM Education: Innovations and Research, 2023
Investigations on the utility of reflective essays in engineering education are firmly grounded in the theory of metacognition. Besides being a tool to measure metacognition, insight acquired from assessing reflective essays can provide context for future instruction and assessment. Some challenges that hinder the critical assessment of reflective…
Descriptors: Engineering, Essays, Reflection, Information Retrieval
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Omid Noroozi; Seyyed Kazem Banihashem; Nafiseh Taghizadeh Kerman; Marzieh Parvaneh Akhteh Khaneh; Maryam Babayi; Hadis Ashrafi; Harm J.A. Biemans – Interactive Learning Environments, 2023
This study adopted a pre-test--post-test design to explore gender differences in argumentative essay writing and peer review performance and uptake within a higher education context. To do this, as part of a bigger project, 101 students were asked to individually write an argumentative essay, engage in peer review activities and revise their…
Descriptors: Gender Differences, Persuasive Discourse, Essays, Writing Skills
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Bejar, Isaac I.; Li, Chen; McCaffrey, Daniel – Applied Measurement in Education, 2020
We evaluate the feasibility of developing predictive models of rater behavior, that is, "rater-specific" models for predicting the scores produced by a rater under operational conditions. In the present study, the dependent variable is the score assigned to essays by a rater, and the predictors are linguistic attributes of the essays…
Descriptors: Scoring, Essays, Behavior, Predictive Measurement
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Ling, Guangming; Williams, Jean; O'Brien, Sue; Cavalie, Carlos F. – ETS Research Report Series, 2022
Recognizing the appealing features of a tablet (e.g., an iPad), including size, mobility, touch screen display, and virtual keyboard, more educational professionals are moving away from larger laptop and desktop computers and turning to the iPad for their daily work, such as reading and writing. Following the results of a recent survey of…
Descriptors: Tablet Computers, Computers, Essays, Scoring
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Haerim Hwang – Written Communication, 2025
The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…
Descriptors: Second Language Learning, Writing (Composition), Form Classes (Languages), Syntax
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Andrew Sensenig; Magdalena Wenger – Journal of College Science Teaching, 2025
Analysis of weekly peer-reviewed writing exercises in undergraduate introductory biology courses revealed that student improvement in ability to judge essays correlated with improvement in their own writing (n = 121 students). This correlation occurred across the spectrum of academic ability. The essays were scored by peers, self, and the…
Descriptors: Content Area Writing, Science Instruction, Undergraduate Students, Introductory Courses
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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)
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