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Dadang Sudana; Tri Indri Hardini; Mahardhika Zifana – International Journal of Language Education, 2024
A tension exists between rationalists and empiricists regarding the nature of knowledge: innate then activated/discovered (rationalists) or constructed then invented (empiricists). The assumption is that, to a certain extent, basic knowledge seems to be innate in our mind and develops through experience by thinking processes to construct meanings.…
Descriptors: Indonesian, Verbs, Teaching Methods, Semantics
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Rodrigo A. Rodríguez-Fuentes; Valentina Concu – PROFILE: Issues in Teachers' Professional Development, 2025
This study examines the application of corpus linguistics in English language teaching (ELT) in Colombia, where its practical adoption remains limited compared to many developed countries. Data were gathered through a survey of English instructors at Colombian universities to assess their familiarity with corpus linguistics. Findings indicate…
Descriptors: Foreign Countries, Language Teachers, English (Second Language), Second Language Instruction
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Drisko, James W. – Journal of Social Work Education, 2023
Plagiarism is a continuing and growing concern in higher education and in academic publishing. Educating to avoid plagiarism requires ongoing efforts at all levels and clear policies that explain the several types of plagiarism and potential consequences when it is found. Identifying plagiarism requires complex judgments and is not a simple matter…
Descriptors: Plagiarism, Computer Software, Identification, Computational Linguistics
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Adrian Kirwan – Irish Educational Studies, 2024
Since its arrival in late 2022, ChatGPT has occupied the minds of academics, administrators and students. Reactions to the emergence of Large Language Models (LLMs) have varied but significant anxieties about their impact on assessment have arisen. To address these concerns, this article serves three purposes; firstly, it seeks to gauge the…
Descriptors: Integrity, Computational Linguistics, Artificial Intelligence, Technology Uses in Education
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Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
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Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
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Darby McGrath; Cassi Liardét – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Research has identified a particularly useful lexicogrammatical resource that language learners need in order to develop academic literacy, that of grammatical metaphor (GM). GM enables the wordy expression characteristic of informal, spoken discourses to be reorganized into the cohesive and abstracted expression valued in academic texts. Although…
Descriptors: Grammar, Word Lists, Figurative Language, English (Second Language)
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Clarence Green; Melania Pantelich; Michael Barrow; Daya Weerasinghe; Rachel Daniel – Australian Review of Applied Linguistics, 2024
There are few published estimates of vocabulary sizes amongst students in tertiary education. Research does not offer estimates of the vocabulary size tertiary students might be expected to possess, though estimates exist for K-12 education, some EFL contexts, and the general population. Such research is important. For reading comprehension during…
Descriptors: Intervention, Undergraduate Students, Vocabulary Development, Teaching Methods
Kaiying Lin – ProQuest LLC, 2024
The field of Linguistics has long been interested in the verb meanings of intransitive verbs and their argument structure, specifically the breakdown of intransitive verbs into unaccusative and unergative verb types. Despite extensive research, a universally applicable explanation for this breakdown remains elusive due in part to the variability…
Descriptors: Mandarin Chinese, Second Language Learning, Second Language Instruction, Semantics
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Susana Castro-Kemp; Peter Kemp – Journal of Early Childhood Research, 2025
High-quality early childhood education is key for children's positive and long-term outcomes. Countries differ on how they quality assure provision. In England, Ofsted is the independent inspection body, often the source of controversy for lack of transparency in ratings. However, there is a dearth of evidence on how inspectors' judgements are…
Descriptors: Inspection, Early Childhood Education, Child Development, Educational Quality
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Weijia Yang; Xuesong Gao – Studies in Second Language Learning and Teaching, 2025
In this article, we highlight the important achievements of the editors and contributors in this special issue. We argue that this collection of studies on individual differences (IDs) advances the field in terms of theoretical diversification, methodological improvement, and pedagogical innovation. We also contend that a renewed interest in ID…
Descriptors: Individual Differences, Second Language Instruction, Second Language Learning, Learning Motivation
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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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Bitzenbauer, Philipp – Contemporary Educational Technology, 2023
Large language models, such as ChatGPT, have great potential to enhance learning and support teachers, but they must be used with care to tackle limitations and biases. This paper presents two easy-to-implement examples of how ChatGPT can be used in physics classrooms to foster critical thinking skills at the secondary school level. A pilot study…
Descriptors: Physics, Science Instruction, Teaching Methods, Computer Software
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Temur, Turan; Sezer, Taner – International Electronic Journal of Elementary Education, 2023
Reading is one of the main skills to be learned and used in schools and through the entire life of an individual. Its crucial importance made reading one of the central topics in different academic disciplines such as education, psychology, linguistic and neuroscience. Advances in multidisciplinary approaches to and studies of reading gave us the…
Descriptors: Reading Teachers, Reading Instruction, Reading Skills, Computational Linguistics
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