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Marvin Lavechin; Maureen de Seyssel; Hadrien Titeux; Guillaume Wisniewski; Hervé Bredin; Alejandrina Cristia; Emmanuel Dupoux – Developmental Science, 2025
Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding…
Descriptors: Infants, Child Development, Acoustics, Native Language
Lei Shi – Journal of Educational Computing Research, 2025
This study explores the integration of advanced AI technologies, including emotion detection and adaptive learning systems, to enhance second language acquisition among 274 English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest randomized control trial, the research evaluates the effects of AI-enhanced interventions on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Emotional Response, Intelligent Tutoring Systems
Belén Mateos-Blanco; Eva Álvarez-Ramos; Leyre Alejaldre-Biel; Milagrosa Parrado-Collantes – Journal of Technology and Science Education, 2024
A qualitative documentary research of software and multimedia artificial intelligences was chosen to enable the ontological understanding of the object of study that aims to explore the potential for learning through Artificial Intelligence (AI). Besides, it is shown how AI, as a novel component within the digital education landscape, contributes…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Uses in Education
Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
Jacqueline Zammit – Computer Assisted Language Learning, 2024
With the advancement of educational technologies, computer-assisted language learning (CALL) tools, like online dictionaries, are essential for acquiring a second language, especially new vocabulary. There has been no empirical focus on the usage of "Gabra" online dictionary in learning Maltese, with a specific focus on international…
Descriptors: Dictionaries, Computer Assisted Instruction, Language Acquisition, Second Language Learning
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Louis Lafleur – Technology in Language Teaching & Learning, 2024
Gamification in second language acquisition research is a popular topic, but there are few empirical comparative studies in the literature. This quasi-experimental mixed-approach study enrolled 77 Japanese university EFL learners to enable a comparison between two digital vocabulary flashcard learning software conditions carefully designed by the…
Descriptors: Second Language Instruction, Gamification, English (Second Language), Second Language Learning
Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Palviainen, Åsa; Räisä, Tiina – Language Policy, 2023
While mobile app-mediated communication between children and members of their family represents a substantial part of contemporary family communication and language input, we still know very little about the role of these technologies in family language policy (FLP). With an explorative questionnaire survey, the current study set out to examine…
Descriptors: Finno Ugric Languages, Swedish, Language of Instruction, Family Relationship
Samah Abdulhadi Abduljawad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This research explores the impact of ChatGPT, an AI tool, on ESL students' writing proficiency at a Saudi Arabian university. Using a mixed-methods approach, data from 130 students showed a significant positive effect on their writing. A focus group interview with six students highlighted opportunities such as personalized feedback, language skill…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Mroz, Aurore P.; Thrasher, Tricia – Foreign Language Annals, 2022
This longitudinal study explores how the language proficiency of eight (N = 8) US-affiliated university students developed relative to their smartphone usage during study abroad (SA) in Paris. Phone usage was tracked daily with Space, proficiency weekly using NCSSFL-ACTFL Can-Do statements, and language use monthly via a Language Engagement…
Descriptors: Handheld Devices, French, Second Language Learning, College Students
Ibrahim Yasar Kazu; Murat Kuvvetli – Asian Journal of Education and Training, 2024
The purpose of this research is to evaluate the effectiveness of Duolingo's game-based methodology in improving speaking proficiency within mobile language learning, while also examining the specific attributes and strategies contributing to its success and exploring implications for language education and learner optimization. Given the growing…
Descriptors: Handheld Devices, Second Language Learning, Computer Oriented Programs, Language Fluency
Du, Yao; Lubniewski, Kathryn; Price, Lori; Breslin, Grace; Thomson, Paula; Jinadasa, Natashka; Soni, Nikita – International Journal of Language & Communication Disorders, 2023
Background: Children with communication disorders experience difficulty in one or more areas of articulation and speech, language, fluency, voice and social communication, and they work with speech-language pathologists (SLPs) to improve their communication. With the rise of adoption and use for mobile applications among special education and…
Descriptors: Pediatrics, Computer Software, Learning Experience, Handheld Devices
Cychosz, Margaret; Cristia, Alejandrina; Bergelson, Elika; Casillas, Marisa; Baudet, Gladys; Warlaumont, Anne S.; Scaff, Camila; Yankowitz, Lisa; Seidl, Amanda – Developmental Science, 2021
This study evaluates whether early vocalizations develop in similar ways in children across diverse cultural contexts. We analyze data from daylong audio recordings of 49 children (1-36 months) from five different language/cultural backgrounds. Citizen scientists annotated these recordings to determine if child vocalizations contained canonical…
Descriptors: Cultural Context, Contrastive Linguistics, Audio Equipment, Cultural Differences
Carmen Durham; Loren Jones – Educational Technology & Society, 2024
Technology continually changes day-to-day interactions, and emergent bilingual learners often multitask, using several digital tools, at times simultaneously, to communicate and learn. Students may text, post on social media, and listen to music as they complete their work. Studies have examined the affordances of technology for language learning,…
Descriptors: Bilingual Students, Time Management, Executive Function, Cooperative Learning