THE USE OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING: OPPORTUNITIES AND CHALLENGES

This article examines how artificial intelligence (AI) tools are being used in English language teaching, what they offer to learners and teachers, and what they put at risk. Using an analytical review of research published mainly between 2016 and 2024, the study sorts the evidence into reported opportunities and reported challenges. The reviewed literature suggests that AI tools, chiefly chatbots, intelligent assistants, automated feedback systems and large language models, are most useful where they extend practice time, give immediate feedback and reduce the routine workload of teachers. The same literature points to unreliable or biased output, learner over-reliance, short-lived novelty effects, privacy risks and uneven teacher preparation. The article argues that the benefits depend less on the technology itself than on the pedagogical frame built around it, and that teacher judgement remains the deciding factor. Practical implications for EFL teachers and university programmes are outlined.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24040789
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

THE USE OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING: OPPORTUNITIES AND CHALLENGES

AKHMET ARDAK
1 links
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

THE USE OF ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING: OPPORTUNITIES AND CHALLENGES

AKHMET ARDAK
article en

Abstract

This article examines how artificial intelligence (AI) tools are being used in English language teaching, what they offer to learners and teachers, and what they put at risk. Using an analytical review of research published mainly between 2016 and 2024, the study sorts the evidence into reported opportunities and reported challenges. The reviewed literature suggests that AI tools, chiefly chatbots, intelligent assistants, automated feedback systems and large language models, are most useful where they extend practice time, give immediate feedback and reduce the routine workload of teachers. The same literature points to unreliable or biased output, learner over-reliance, short-lived novelty effects, privacy risks and uneven teacher preparation. The article argues that the benefits depend less on the technology itself than on the pedagogical frame built around it, and that teacher judgement remains the deciding factor. Practical implications for EFL teachers and university programmes are outlined.

Zenodo (CERN European Organization for Nuclear Research)
Quality education
Openalex Percentile: Top 10%
Artificial Intelligence in Education
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.

Laika access coming soon