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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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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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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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Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
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Lingling Li; Hai Xu; Xian Zhang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Despite the widely used word lists in English as a second or foreign language learning, few attempts have been made to create an academic spoken collocation list, which holds significant potential for enhancing learners' aural and oral abilities in academic communication. This study created a list of the most frequently used and pedagogically…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
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Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
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Denise Bergström; Cathrine Norberg; Marie Nordlund – Education Inquiry, 2025
Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…
Descriptors: Textbooks, Incidental Learning, Vocabulary Development, Second Language Learning
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Wimonsinee Yuanjai; Chanika Gampper – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…
Descriptors: Singing, Music, Musicians, English (Second Language)
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Zhiliang Yue; Sugunya Ruangjaroon – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to provide a comprehensive profile of collocational competence, a key component of one's overall linguistic competence. For the maximum of ecological validity, we elicited naturalistic oral/written production data from 84 Chinese intermediate EFL learners and performed a 2×2 fashion of analysis on their performance in each of the…
Descriptors: Phrase Structure, English (Second Language), Second Language Learning, Second Language Instruction
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Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
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Olesya Kisselev; Mihail Kopotev; Anton Vakhranev – Modern Language Journal, 2025
Lexical proficiency in a second language (L2) has long been effectively assessed through the measurement of various lexical indices, or textual characteristics that act as observable indicators of such conceptual categories as lexical richness, diversity, sophistication, and fluency. While many studies have established links between these lexical…
Descriptors: Language Proficiency, Russian, Second Language Learning, Second Language Instruction
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Peng Wang; Kexin Yin; Mingzhu Zhang; Yuanxin Zheng; Tong Zhang; Yanjun Kang; Xun Feng – Education and Information Technologies, 2025
In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…
Descriptors: Critical Thinking, Skill Development, Artificial Intelligence, Computer Software
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Jing Liu; Qing Ma – Educational Technology & Society, 2025
This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…
Descriptors: Computational Linguistics, Second Language Instruction, Second Language Learning, Language Proficiency
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Elif Polat; Zafer Kadirhan; Sinan Hopcan; Hatice Yildiz Durak; Sedef Canbazoglu Bilici – European Journal of Education, 2025
This study aims to examine the structures that affect the teaching motivation of in-service teachers. In this context, self-efficacy in teaching computational thinking and professional identity have been focused on. To that end, the relational screening model has been used. A demographic information form and three different scales were used to…
Descriptors: Teacher Motivation, Professional Identity, Turkish, Teacher Attitudes
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