Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends

With the rapid development of artificial intelligence (AI) technology, its application in teaching English as a foreign language (EFL) is becoming increasingly widespread, profoundly affecting teaching models and learning experiences. This paper reviews AI application progress, challenges, and future trends in EFL instruction. It points out that AI technology supports effective EFL instruction through personalized teaching, automated assessment and feedback, active and interactive experiences, data-driven learning analytics, intelligent agents/virtual assistants, and humanoid robots. However, challenges such as technological limitations, gaps in AI acceptance and application capabilities, privacy protection and ethical issues, and unequal distribution of EFL instructional resources have also emerged. These challenges require active responses from educational administrative departments, schools, and EFL educators. In the future, the development of AI+EFL education will likely further promote innovation in EFL instruction models, achieve a more learner-centered teaching paradigm, exert a constructive influence, promote interdisciplinary integration and collaboration, and ensure the improvement of educational quality and equity.

Authors

Institutions

Publication Details

Journal
English Language Teaching and Linguistics Studies
Published
2024-08-15
DOI
https://doi.org/10.22158/eltls.v6n4p215
Citations
6
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
2.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends

Keying Li, Lin Wu, Meiqi Yu, Yunxi Lin
6 citations
English Language Teaching and Linguistics Studies
Online Learning and Analytics
2.47
article

Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends

Keying Li, Lin Wu, Meiqi Yu, Yunxi Lin
article en
6 citations

Abstract

With the rapid development of artificial intelligence (AI) technology, its application in teaching English as a foreign language (EFL) is becoming increasingly widespread, profoundly affecting teaching models and learning experiences. This paper reviews AI application progress, challenges, and future trends in EFL instruction. It points out that AI technology supports effective EFL instruction through personalized teaching, automated assessment and feedback, active and interactive experiences, data-driven learning analytics, intelligent agents/virtual assistants, and humanoid robots. However, challenges such as technological limitations, gaps in AI acceptance and application capabilities, privacy protection and ethical issues, and unequal distribution of EFL instructional resources have also emerged. These challenges require active responses from educational administrative departments, schools, and EFL educators. In the future, the development of AI+EFL education will likely further promote innovation in EFL instruction models, achieve a more learner-centered teaching paradigm, exert a constructive influence, promote interdisciplinary integration and collaboration, and ensure the improvement of educational quality and equity.

English Language Teaching and Linguistics StudiesVol. 6(4)
Guangdong University of Education (CN)
Openalex Percentile: Top 8%
Online Learning and Analytics
2.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.