Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

New Possibilities of Artificial Intelligence-Assisted Language Learning (Aiall)

Comparing Visions from the East and the West

Datos Bibliográficos

ID22044564
AutoresCristina A Huertas-Abril (0000-0002-9057-5224, University of Córdoba, autor de correspondencia), Francisco Javier Palacios-Hidalgo (0000-0002-4326-209X, University of Córdoba, autor de correspondencia)
Año2023
Volumen13
Número12
Páginas1234
Fecha de publicación2023-12-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEducation Sciences (JOURNAL)
Identificadores de la revistaISSN: 2227-7102 • E-ISSN: 2227-7102
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci13121234
OpenAlexW4389613414
IdiomaEN
Citas recibidas6
Referencias citadas15

Despite the benefits of artificial intelligence-assisted language learning (AIALL) for students and teachers, the scientific literature in this field remains relatively scarce, especially regarding the perceptions of language teachers. This paper aims to narrow this research gap by considering the potential cultural differences between in-service language teachers by comparing and contrasting the attitudes of language teachers located in different contexts (i.e., Eastern and Western countries) towards AIALL. Following a qualitative research approach and a descriptive, transversal, and correlational method, a six-question semi-structured interview was designed and administered to unveil the perceptions of six language teachers located both in Eastern (i.e., Vietnam, Iran, and Indonesia) and Western (i.e., Spain, Germany, and the United Kingdom) countries. The findings show that the participants were positive about the potential of AIALL for teaching and learning languages, although they all showed a certain anxiety regardless of their context. Moreover, and although there were shared concerns, differences were found between Eastern and Western participants, especially concerning equitable access, balance between language skills, and ethical aspects. This study reveals that teacher training is essential to introduce AIALL in the classroom, and that practitioners need to rethink assessment to avoid plagiarism and cheating, but also to take advantage of AIALL

Cheating · Geography · Language acquisition · Language barrier · Linguistics · Mathematics education · Pedagogy · Qualitative research · Social science · Sociology · Vision · EFL/ESL Teaching and Learning · Psychology · Second Language Acquisition and Learning · Second Language Learning and Teaching · Social Psychology

  • English for Academic Purposes University Teachers’ Attitudes and Beliefs about GenAI Use in an EMI program in Peru

    Open Access•Luis Torres-Vásquez, Daniel Escribens•Ampersand•2026

  • Technology-Enhanced Language Learning

    Open Access•Antonio-Jesús Tinedo-Rodríguez•Education Sciences•2025

  • Fostering sustainable cross-cultural learning through AI-supported multimodal storytelling activities

    Rustam Shadiev, Thi-Rin-Gan Nguyen et al.•Interactive Learning Environments•2026

  • The more the merrier? Examining the effects of a conversational agent on EFL learners’ speaking in three conditions

    Open Access•Yao Ma, Zhuo Wang et al.•Computers & Education•2025

  • Ai in Multilingual Classrooms

    Open Access•Joydeb Patra, Bikramaditya Naskar et al.•ShodhKosh: Journal of Visual and…•2026

  • Educators in Transition

    Open Access•Laura Inés Bottiglieri, María Fernanda Irrazabal et al.•Íkala Revista de Lenguaje y Cultura•2025

  • Education in the Era of Generative Artificial Intelligence (AI)

    Open Access•David Baidoo-Anu, Leticia OWUSU ANSAH•SSRN Electronic Journal•2023

  • Artificial intelligence leads the reform of education models

    Open Access•Jianjing Qu, Yanan Zhao et al.•Systems Research and Behavioral…•2022

  • Making a difference

    Open Access•Michael Byram, Manuela Wagner•Foreign Language Annals•2018

  • Convenience Sample

    Open Access•Roger Clark•The Blackwell Encyclopedia of…•2017

  • Sampling, Qualitative (Purposive)

    Open Access•Michael Quinn Patton•The Blackwell Encyclopedia of…•2007

Obras citantes distintas6
Citas por año6
Intervalo de citas2025 - 2026 (2)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 5
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae