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Ospanova Dana; Kurmanbekova Zulfiya; Shagirbayeva Bakhtigul; Turarova Aisulu; Ormanova Aigul; Turgumbayeva Nursulu; Gulnara Makhazhanova; Kurmanbekova Aigul – Eurasian Journal of Applied Linguistics, 2025
Emotiology is a growing area of interdisciplinary research and academic discourse which focuses on the linguistic manifestation of emotions. This study employs psycholinguistic methodologies to examine the rationale behind word selection in emotional communication, integrating linguacultural, psycholinguistic, structural, and comparative analyses.…
Descriptors: Psycholinguistics, Interdisciplinary Approach, Academic Language, Language Usage
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Yufan Zhao; Vahid Aryadoust – Language Testing, 2025
This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…
Descriptors: Semantics, Computational Linguistics, Academic Language, Second Language Learning
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Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
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Micheal M. van Wyk – Open Praxis, 2025
Large language models such as ChatGPT 3.5, Grammarly, and Copilot, to name a few, are referred to as generated artificial intelligence tools (GenAI). These GenAI tools have gained significant popularity in education since their launch. How can teacher education take advantage of the hype around GenAI tools? These AI-generated tools prompted an…
Descriptors: Student Teachers, Teacher Education Programs, Artificial Intelligence, Computer Software
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Yi-Ju Wu; Hui-Chin Yeh – Educational Technology & Society, 2025
This empirical investigation rigorously evaluated the teaching potential of Data-Driven Learning (DDL) for enhancing the ability of learners to apply 30 near-synonymous change-of-state verbs in two EFL Freshman English courses in a college setting across two semesters. In the study, 32 participants in the experimental group and 22 in the control…
Descriptors: Verbs, Computational Linguistics, Phrase Structure, North American English
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Pong-ampai Kongcharoen; Jiraporn Dhanarattigannon; Intira Bumrungsalee – rEFLections, 2025
In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students' writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner…
Descriptors: Academic Language, Essays, Majors (Students), English (Second Language)
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Yan Li; Hong Lei – SAGE Open, 2025
As a key component of fluent linguistic production, multi-word sequences called lexical bundles are considered an important distinguishing feature of discourse in different registers, genres, and disciplines. They are also an important aspect of empirically correct and proficient language use in a corpus of natural language because they enable…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Native Language
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Jiraporn Dhanarattigannon; Tirote Thongnuan; Pong-ampai Kongcharoen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This true longitudinal study explored the lexical development of L2 university English major students in Thailand using two learner corpora. This study analyzed the natural learners' English language writing assignments from two writing courses and tracked their lexical development over a relatively long period (three years with five batches of…
Descriptors: Majors (Students), English (Second Language), Second Language Learning, Second Language Instruction
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Kun Dai; Ian Hardy; Yuxiao Jiang – Higher Education Research and Development, 2025
An increasing number of international students pursue doctoral studies in China, a non-traditional learning destination compared with English-dominated Western countries. Despite considerable research on the challenges doctoral students face when writing theses in English in Western countries, relatively few studies have explored comparable issues…
Descriptors: Foreign Countries, Doctoral Students, Doctoral Dissertations, Writing (Composition)
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Elena I. Shpit; Philip M. McCarthy – Language Teaching Research, 2025
Virtually all researchers understand the requirement of presenting their studies in peer-reviewed English-medium journals. Russian scientific writers understand this necessity too; however, evidence suggests that these particular researchers are under-performing relative to similar non-native English speakers. The considerable challenge Russians…
Descriptors: Russian, Engineering Education, Researchers, English (Second Language)
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Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
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Muhammad Mooneeb Ali, Editor; Muhammad Nadeem Anwar, Editor; Shawana Fazal, Editor; Shazia Ayyaz, Editor – IGI Global, 2025
The integration of artificial intelligence in language learning is transforming education by making language acquisition more personalized, efficient, and accessible. AI-powered tools, such as intelligent tutoring systems and adaptive learning platforms, enable learners to receive real-time feedback, customized lessons, and immersive experiences…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction