A Study on the Use of Artificial Intelligence in Teaching English Language in Iraq

This study explores the integration of Artificial Intelligence (AI) into English language teaching (ELT) in Iraq. As AI technologies rapidly transform educational practices globally, understanding their potential in the Iraqi context is essential. This theoretical research reviews literature on AI in education, outlines major AI tools used in ELT, and discusses implications, opportunities, and challenges. Findings suggest that while AI can personalize learning, provide instant feedback, and enhance teacher capabilities, limitations such as infrastructure, training, and ethical concerns must be addressed for successful implementation. The significance of this research lies in its focus on Iraq, a context that presents unique opportunities and challenges. Iraq’s educational institutions face ongoing struggles related to underfunding, outdated curricula, and a shortage of qualified teachers, especially in English language instruction. In this environment, AI tools offer potential solutions by supplementing human instruction, supporting differentiated learning, and automating time-consuming administrative tasks. For instance, AI-powered applications can assess students' pronunciation, grammar, and comprehension in real-time, offering personalized feedback that is difficult to achieve in traditional classroom settings. Moreover, this study recognizes the global shift toward AI-enhanced education and its implications for Iraq’s position in the international academic community. Embracing AI in English language teaching could bridge gaps in access to quality education, particularly in underserved or rural areas. It could also support lifelong learning by making resources available on demand through mobile platforms and intelligent systems. However, realizing this potential requires more than the adoption of technology—it calls for a strategic framework encompassing teacher training, curriculum redesign, policy development, and investment in digital infrastructure. This study explores the integration of Artificial Intelligence (AI) into English language teaching (ELT) in Iraq. As AI technologies rapidly transform educational practices globally, understanding their potential in the Iraqi context is essential.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-28
DOI
https://doi.org/10.5281/zenodo.16987677
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Use of Artificial Intelligence in Teaching English Language in Iraq

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A Study on the Use of Artificial Intelligence in Teaching English Language in Iraq

article en

Abstract

This study explores the integration of Artificial Intelligence (AI) into English language teaching (ELT) in Iraq. As AI technologies rapidly transform educational practices globally, understanding their potential in the Iraqi context is essential. This theoretical research reviews literature on AI in education, outlines major AI tools used in ELT, and discusses implications, opportunities, and challenges. Findings suggest that while AI can personalize learning, provide instant feedback, and enhance teacher capabilities, limitations such as infrastructure, training, and ethical concerns must be addressed for successful implementation. The significance of this research lies in its focus on Iraq, a context that presents unique opportunities and challenges. Iraq’s educational institutions face ongoing struggles related to underfunding, outdated curricula, and a shortage of qualified teachers, especially in English language instruction. In this environment, AI tools offer potential solutions by supplementing human instruction, supporting differentiated learning, and automating time-consuming administrative tasks. For instance, AI-powered applications can assess students' pronunciation, grammar, and comprehension in real-time, offering personalized feedback that is difficult to achieve in traditional classroom settings. Moreover, this study recognizes the global shift toward AI-enhanced education and its implications for Iraq’s position in the international academic community. Embracing AI in English language teaching could bridge gaps in access to quality education, particularly in underserved or rural areas. It could also support lifelong learning by making resources available on demand through mobile platforms and intelligent systems. However, realizing this potential requires more than the adoption of technology—it calls for a strategic framework encompassing teacher training, curriculum redesign, policy development, and investment in digital infrastructure. This study explores the integration of Artificial Intelligence (AI) into English language teaching (ELT) in Iraq. As AI technologies rapidly transform educational practices globally, understanding their potential in the Iraqi context is essential.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
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.