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Udomsak Sirita; Nilubon Jitman – LEARN Journal: Language Education and Acquisition Research Network, 2024
The outbreak of the global COVID-19 pandemic has significantly impacted educational institutions worldwide. This study aimed to examine how students constructed discourses about COVID-19 and related terms in their cause-and-effect essays. The sample consisted of 89 essays written by English majors at a large public university in Northern Thailand…
Descriptors: Foreign Countries, COVID-19, Pandemics, Essays
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Xiaopeng Zhang; Wenwen Li – Reading and Writing: An Interdisciplinary Journal, 2024
This study modeled the effects of essay length and language features on the rated quality of second language (L2) expository and argumentative essays composed by Chinese university students. Latent variables were writing quality captured by essay scores, and lexical sophistication, syntactic complexity and cohesion, each of which was measured by…
Descriptors: Second Language Learning, Essays, Language Usage, College Students
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Mohammad Arif Ul Alam; Madhavi Pagare; Susan Davis; Geeta Verma; Ashis Biswas; Justin Barbern – International Educational Data Mining Society, 2024
Recognizing the Social Determinants of Mental Health (SDMHs) among students is essential, as lower backgrounds in these determinants elevate the risk of poor academic achievement, behavioral issues, and physical health problems, thereby affecting both physical and emotional well-being. Leveraging students' self-reported lived experiential essays…
Descriptors: Mental Health, At Risk Students, Prediction, Automation
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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
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Scott A. Crossley; Minkyung Kim; Qian Wan; Laura K. Allen; Rurik Tywoniw; Danielle McNamara – Assessment in Education: Principles, Policy & Practice, 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
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Ghulam Abbas Khushik – Language Assessment Quarterly, 2025
This study examines the influence of alternate topics on syntactic complexity features in argumentative essays produced by English as a Foreign Language (EFL) learners. The essays were assessed in accordance with the Common European Framework of Reference (CEFR). The study employed two automated natural language processing tools that utilized…
Descriptors: Cues, Syntax, English (Second Language), Second Language Learning
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Erik Voss – Language Testing, 2025
An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…
Descriptors: Artificial Intelligence, Automation, Scoring, English (Second Language)
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Karima Bouziane; Abdelmounim Bouziane – Discover Education, 2024
The evaluation of student essay corrections has become a focal point in understanding the evolving role of Artificial Intelligence (AI) in education. This study aims to assess the accuracy, efficiency, and cost-effectiveness of ChatGPT's essay correction compared to human correction, with a primary focus on identifying and rectifying grammatical…
Descriptors: Artificial Intelligence, Essays, Writing Skills, Grammar
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Eivind Alexander Valestrand; Monika Kvernenes; Elizabeth Anne Kinsella; Steinar Hunskaar; Edvin Schei – Advances in Health Sciences Education, 2024
Medical students' efforts to learn person-centered thinking and behavior can fall short due to the dissonance between person-centered clinical ideals and the prevailing epistemological stereotypes of medicine, where physicians' life events, relations, and emotions seem irrelevant to their professional competence. This paper explores how reflecting…
Descriptors: Medical Students, Reflection, Essays, Self Concept
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Chan, Kinnie Kin Yee; Bond, Trevor; Yan, Zi – Language Testing, 2023
We investigated the relationship between the scores assigned by an Automated Essay Scoring (AES) system, the Intelligent Essay Assessor (IEA), and grades allocated by trained, professional human raters to English essay writing by instigating two procedures novel to written-language assessment: the logistic transformation of AES raw scores into…
Descriptors: Computer Assisted Testing, Essays, Scoring, Scores
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Ramnarain-Seetohul, Vidasha; Bassoo, Vandana; Rosunally, Yasmine – Education and Information Technologies, 2022
In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES domain. This work shows the findings of a ten-year review on similarity techniques applied in AES systems…
Descriptors: Computer Assisted Testing, Essays, Scoring, Automation
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Ferrara, Steve; Qunbar, Saed – Journal of Educational Measurement, 2022
In this article, we argue that automated scoring engines should be transparent and construct relevant--that is, as much as is currently feasible. Many current automated scoring engines cannot achieve high degrees of scoring accuracy without allowing in some features that may not be easily explained and understood and may not be obviously and…
Descriptors: Artificial Intelligence, Scoring, Essays, Automation
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Kazamias, David – FORUM: for promoting 3-19 comprehensive education, 2023
This paper offers readings of three examples from a photo-essay project undertaken in 2022 by a group of Year 7 pupils in Berlin. Many of the photo-essays centred on locations like schools, parks and shops, but also included places of worship, the graves of ancestors and evidence of family ties in other cities. Mirroring the practices of the…
Descriptors: Photography, Essays, Foreign Countries, Grade 7
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Abbas, Mohsin; van Rosmalen, Peter; Kalz, Marco – IEEE Transactions on Learning Technologies, 2023
For predicting and improving the quality of essays, text analytic metrics (surface, syntactic, morphological, and semantic features) can be used to provide formative feedback to the students in higher education. In this study, the goal was to identify a sufficient number of features that exhibit a fair proxy of the scores given by the human raters…
Descriptors: Feedback (Response), Automation, Essays, Scoring
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Larsson, Kristoffer – Scandinavian Journal of Educational Research, 2021
Educationalists have had serious problems in proposing well-grounded ways of teaching critical thinking. Reviews of the field have called for research to develop theory concerning the learning experience associated with critical thinking enhancement, as well as to explore more tailored teaching and evaluation methods. This article suggests an…
Descriptors: Teaching Methods, Essays, Critical Thinking, Evaluation Methods
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