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Chelsea Wilkinson; Michelle Leanne Oppert; Mikaela Sian Owen – Australasian Journal of Educational Technology, 2024
ChatGPT, at the forefront of artificial intelligence advancement, has caused excitement and scepticism within academic spheres due to its potential to affect academic processes. Understanding attitudes towards ChatGPT could help manage expectations and concerns for ChatGPT in academia, predict behaviour and inform policy. This study aimed to…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Computer Software
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Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
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Andi Indah Yulianti; Dwiani Septiana; Firman A. D.; Musayyedah; Abd. Rasyid; Ai Kurniati – Eurasian Journal of Applied Linguistics, 2024
This paper presents a brief morphological description of the affixation processes in the Dayak Bentian Language (DBL), a minority language at risk of extinction in East Kalimantan, Indonesia. To this end, the paper explores the affixation processes, including the form, function, and meaning of affixes and their morphophonemic processes. The data…
Descriptors: Morphology (Languages), Morphemes, Computational Linguistics, Computer Software
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Keyi Han – Eurasian Journal of Applied Linguistics, 2024
Pragmatic markers, such as "well," "you know," and "I mean," serve as discourse-pragmatic elements in spoken language, facilitating discourse management, stance marking, and interpersonal communication. This study examines the acquisition of pragmatic markers by second language (L2) learners through a corpus-based…
Descriptors: Computational Linguistics, Barriers, Native Language, Pragmatics
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Chunli Yang; Siti Ezaleila Mustafa – Eurasian Journal of Applied Linguistics, 2024
This study investigates the integration of advanced technologies to improve the translation and dissemination of Chinese museum culture through multimodal approaches. The primary aim is to incorporate Artificial Intelligence (AI) and big data to enhance the quality and accessibility of cultural exhibits. Current challenges in the translation and…
Descriptors: Museums, Technology Integration, Artificial Intelligence, Exhibits
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Lin Chen; Charles Perfetti – Language Teaching Research Quarterly, 2024
Learning new words is fundamental in both first and second-language reading. There are, however, divided opinions on the best instructional approaches. Two widely used approaches across languages are whole-word focus and word-constituent focus. The appropriateness of each approach has varied historically, even within a single language (e.g., the…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Teaching Methods
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Julie Antilla-Garza – International Dialogues on Education, 2024
ChatGPT has experienced exponential growth in its number of users since its launch in November 2022. Researchers studying early adopters of the generative artificial intelligence (AI) chatbot have found positive reactions from those who have used ChatGPT for reading and writing. However, this research is still in its infancy and few studies exist…
Descriptors: Autism Spectrum Disorders, Story Telling, Reading Motivation, Artificial Intelligence
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Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
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Raniya Abdullah Alsehibany; Safaa M. Abdelhalim – Computer Assisted Language Learning, 2025
In the past two decades, corpora have been proposed as valuable computer-assisted tools for teaching and learning academic writing in English at the university level. This article reports on an empirical study that sought to examine the effectiveness of direct corpus consultation in overcoming vocabulary errors in academic writing. This study is…
Descriptors: Undergraduate Students, Majors (Students), English (Second Language), Second Language Learning
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John I. Liontas – Athens Journal of Education, 2025
Idiomatics, the scientific study of idiomatic and figurative language, is examined in this article to define the boundaries as a distinct academic discipline. The investigation highlights the significant implications of idiomatics for understanding human behavior, language development, and technological advancements. A sixpart approach to language…
Descriptors: Figurative Language, Language Acquisition, Behavior Patterns, Interdisciplinary Approach
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Cindy Brantmeier; Dorothy Pokua Agyepong; Amanda Dube; Michael Strube; Jacaranda Van Rheenen; Jessie Wills; Uma Paithankar; Rachel G. A. Thompson; Lisbeth M. Brevik; Greta Björk Gudmundsdottir; Christi Smith; Thammatat Vorawandthanachai; Fred Ssewamala; Proscovia Nabunya – Reading in a Foreign Language, 2025
This study is a renewed effort for applying theory and research in Applied Linguistics (ApL) to today's healthcare needs. Previously, to analyze language use with linguistically diverse patients during the COVID-19 pandemic, researchers bridged self-assessment (SA) research in ApL to Public Health through the development of an instrument used with…
Descriptors: Patients, Health Services, Second Language Learning, Reading Comprehension
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Messina, Cara Marta; Jones, Cherice Escobar; Poe, Mya – Written Communication, 2023
We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…
Descriptors: Reflection, Writing Instruction, Computational Linguistics, Cues
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Uygun, Serkan; Schwarz, Lara; Clahsen, Harald – Second Language Research, 2023
Heritage speakers (HS) have been shown to experience difficulties with inflectional morphology (particularly with irregular morphology) and to frequently overapply regular morphology. The present study seeks to get further insight into the inflectional processes of HS by investigating how these are generalized to nonce words in language…
Descriptors: Morphology (Languages), Turkish, Monolingualism, Second Language Learning
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Cruz Blandón, María Andrea; Cristia, Alejandrina; Räsänen, Okko – Cognitive Science, 2023
Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…
Descriptors: Meta Analysis, Infants, Language Acquisition, Computational Linguistics
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Organ, Alison – Language Learning Journal, 2023
This paper presents the findings of a research project on UK school students' attitudes to the use of Free Online Machine Translation for L2 production and more specifically in preparing for assessment. Data were collected from a publicly available online forum to analyse students' spontaneous discussion of the use of Free Online Machine…
Descriptors: Computer Software, Translation, Computer Mediated Communication, Modern Languages
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