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Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
Jill Manczka – ProQuest LLC, 2024
Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Christopher Nicklin – ProQuest LLC, 2024
Since corpus linguistics gained popularity as a methodology in the latter half of the 20th century, second language acquisition research has seen the emergence of work investigating formulaic language, such as idioms, lexical bundles, and collocations. A collocation is a string of words that co-occur more routinely than probability would predict,…
Descriptors: Computational Linguistics, Phrase Structure, Language Processing, Native Language
Haerim Hwang; Hyunwoo Kim – Language Testing, 2024
Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…
Descriptors: Korean, Natural Language Processing, Syntax, Computer Graphics
Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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
Piyapong Laosrirattanachai; Piyanuch Laosrirattanachai – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Learners frequently encounter challenges in accurately utilizing near-synonyms in the English language. This investigation explored the similarities and differences among four near-synonymous verbs: "attempt, endeavor, strive," and "try." The analysis encompassed their prevalence across diverse genres, formality levels,…
Descriptors: Computational Linguistics, English (Second Language), Second Language Instruction, Second Language Learning
Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
Egbert, Jesse; Burch, Brent – Applied Linguistics, 2023
The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…
Descriptors: Word Lists, Incidence, Computational Linguistics, Textbooks
Nurmukhamedov, Ulugbek; Sharakhimov, Shoaziz – RELC Journal: A Journal of Language Teaching and Research, 2023
In addition to movies, television programs, and TED Talks presentations, podcasts are an increasingly popular form of media that promotes authentic public discourse for diverse audiences, including university professors and students. However, English language teachers in the English as a second language/English as a foreign language contexts might…
Descriptors: Speeches, Computational Linguistics, English (Second Language), Second Language Learning
Odijk, Lotte; Gillis, Steven – First Language, 2023
The inflectional diversity of parents' speech directed to children acquiring Dutch was investigated. Inflectional diversity is defined as the number of inflected forms of a particular lemma (e.g. singular, plural of a noun) and measured by means of Mean Size of Paradigm (MSP). Changes in the inflectional diversity of infant directed speech (IDS)…
Descriptors: Parent Child Relationship, Vocabulary Development, Language Acquisition, Longitudinal Studies
Ridgway, Rosie – Cogent Education, 2023
Education policy in recent years has dramatically repositioned the role and status of teachers, trainee teachers and teacher education in the UK and beyond. This paper focuses specifically on education policy in England; however, it has broader significance for those interested in education and teacher education in international policy contexts.…
Descriptors: Discourse Analysis, Educational Policy, Computational Linguistics, Educational Change
Stein, Alejandra; Menti, Alejandra Beatriz; Rosemberg, Celia Renata – Early Years: An International Journal of Research and Development, 2023
Evidence shows individual variation in lexical acquisition as a function of socioeconomic status and linguistic input. Research has primarily involved English-speaking populations and considered only mothers' child-directed speech. This study analyzes the effects of socioeconomic status on quantitative and qualitative properties of linguistic…
Descriptors: Spanish Speaking, Socioeconomic Status, Audio Equipment, Foreign Countries
Rapanta, Chrysi; Macagno, Fabrizio – Dialogic Pedagogy, 2023
Goal: The problem of the authenticity of teacher questions has not received sufficient attention from educational researchers interested in the intersection between dialogue and argumentation. In this paper, we adopt a definition of authentic questions as dialogical units that prompt teacher-student interactions that are both productive (i.e.,…
Descriptors: Classroom Communication, Persuasive Discourse, Dialogs (Language), Cues
Ma, Qing; Chiu, Ming Ming; Lin, Shanru; Mendoza, Norman B. – ReCALL, 2023
Given the importance of corpus linguistics in language learning, there have been calls for the integration of corpus training into teacher education programmes. However, the question of what knowledge and skills the training should target remains unclear. Hence, we advance our understanding of measures and outcomes of teacher corpus training by…
Descriptors: Teaching Methods, Computational Linguistics, Second Language Learning, Second Language Instruction

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