The Dual Edges of AI in Education: Enhancing ELT and Supporting Students with Learning Difficulties

Artificial Intelligence (AI) is transforming education by offering adaptive and personalized learning experiences that enhance traditional pedagogical approaches. This paper examines AI’s dual impact on English Language Teaching (ELT) and its role in supporting students with learning difficulties. AI-powered tools, including Natural Language Processing (NLP) applications and conversational agents, are reshaping language acquisition by providing real-time feedback and customized learning pathways. Likewise, AI-driven assistive technologies support students with disabilities by facilitating early diagnosis and delivering personalized interventions. However, while AI’s potential is undeniable, its implementation raises ethical concerns, such as data privacy risks, algorithmic bias, and disparities in access. This study emphasizes the necessity of an integrated approach where AI serves as a complement to human instruction, ensuring equitable, ethical, and effective educational experiences. Future research should focus on refining AI’s applications, addressing ethical challenges, and optimizing its role in fostering inclusive and high-quality education.

Publication Details

Journal
University of Patras
Published
2025-06-05
DOI
https://doi.org/10.26220/cul.5325
Citations
1
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
4.33
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article

The Dual Edges of AI in Education: Enhancing ELT and Supporting Students with Learning Difficulties

1 citations
University of Patras
Subterranean biodiversity and taxonomy
4.33
article

The Dual Edges of AI in Education: Enhancing ELT and Supporting Students with Learning Difficulties

article en
1 citations

Abstract

Artificial Intelligence (AI) is transforming education by offering adaptive and personalized learning experiences that enhance traditional pedagogical approaches. This paper examines AI’s dual impact on English Language Teaching (ELT) and its role in supporting students with learning difficulties. AI-powered tools, including Natural Language Processing (NLP) applications and conversational agents, are reshaping language acquisition by providing real-time feedback and customized learning pathways. Likewise, AI-driven assistive technologies support students with disabilities by facilitating early diagnosis and delivering personalized interventions. However, while AI’s potential is undeniable, its implementation raises ethical concerns, such as data privacy risks, algorithmic bias, and disparities in access. This study emphasizes the necessity of an integrated approach where AI serves as a complement to human instruction, ensuring equitable, ethical, and effective educational experiences. Future research should focus on refining AI’s applications, addressing ethical challenges, and optimizing its role in fostering inclusive and high-quality education.

University of Patras
Quality Education
Openalex Percentile: Top 5%
Subterranean biodiversity and taxonomy
4.33
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