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Péter Rácz; Ágnes Lukács – Cognitive Science, 2024
People learn language variation through exposure to linguistic interactions. The way we take part in these interactions is shaped by our lexical representations, the mechanisms of language processing, and the social context. Existing work has looked at how we learn and store variation in the ambient language. How this is mediated by the social…
Descriptors: Foreign Countries, Native Speakers, Hungarian, Language Processing
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Xi Lin – Adult Learning, 2024
This study explores the potential of ChatGPT as a virtual tutor to facilitate self-directed learning (SDL) among adult learners in asynchronous online contexts. Although SDL has been identified as a critical skill, factors such as the lack of skills to find resources and the absence of a supportive learning environment could impede adult learners'…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Student Motivation
Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
Seyedeh Azadeh Ghiasian; Fatemeh Hemmati; Seyyed Mohammad Alavi; Afsar Rouhi – International Journal of Language Testing, 2025
A critical component of cognitive diagnostic models (CDMs) is a Q-matrix that stipulates associations between items of a test and their required attributes. The present study aims to develop and empirically validate a Q-matrix for the listening comprehension section of the International English Language Testing System (IELTS). To this end, a…
Descriptors: Test Items, Listening Comprehension Tests, English (Second Language), Language Tests
Natasha Tokowicz; Tessa Warren; Leida Tolentino – Language Teaching Research Quarterly, 2024
Adult second language learners arrive at the language learning situation with an already formed first language grammar system in place. The study of cross-language similarity across the first and second languages explores how the similarities and differences in the two languages make learning more or less difficult, particularly for adult…
Descriptors: Morphology (Languages), Syntax, Grammar, Second Language Learning
Hyangeun Ji; Insook Han; Soyeon Park – Language Learning & Technology, 2024
This study investigated the usage of conversational artificial intelligence (CAI) to support learners in foreign language classrooms. It employed Google Assistant and focused on the interactions between the teacher, learners, and CAI, as well as the teacher's collaboration with CAI. Using social network and content analyses of two 50-minute…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Mediated Communication, Natural Language Processing