INTEGRATING ARTIFICIAL INTELLIGENCE INTO ENGLISH LANGUAGE TEACHING IN UZBEKISTAN: CHALLENGES AND PROSPECTS

The integration of Artificial Intelligence (AI) into English Language Teaching (ELT) has the potential to transform pedagogical practices, enhance student engagement, and optimize assessment processes. However, in many higher education institutions in Uzbekistan, AI remains underutilized due to low AI literacy among faculty, minimal institutional support, and superficial pedagogical applications. This study examines the preparedness of ELT instructors in Uzbekistan to meaningfully integrate AI into instruction, assesses the scope and effectiveness of current professional development efforts, and explores the institutional and policy supports required for sustainable implementation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17181195
Primary Topic
Inorganic Fluorides and Related Compounds
Type
article
Field-Weighted Citation Impact
0.00
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article

INTEGRATING ARTIFICIAL INTELLIGENCE INTO ENGLISH LANGUAGE TEACHING IN UZBEKISTAN: CHALLENGES AND PROSPECTS

Zenodo (CERN European Organization for Nuclear Research)
Inorganic Fluorides and Related Compounds
article

INTEGRATING ARTIFICIAL INTELLIGENCE INTO ENGLISH LANGUAGE TEACHING IN UZBEKISTAN: CHALLENGES AND PROSPECTS

article en

Abstract

The integration of Artificial Intelligence (AI) into English Language Teaching (ELT) has the potential to transform pedagogical practices, enhance student engagement, and optimize assessment processes. However, in many higher education institutions in Uzbekistan, AI remains underutilized due to low AI literacy among faculty, minimal institutional support, and superficial pedagogical applications. This study examines the preparedness of ELT instructors in Uzbekistan to meaningfully integrate AI into instruction, assesses the scope and effectiveness of current professional development efforts, and explores the institutional and policy supports required for sustainable implementation.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 60%
Inorganic Fluorides and Related Compounds
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