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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Ai-Enhanced Learning Approaches in English Language Teaching: A Review.

Authors: Jaheer, Mr.Billa;

Ai-Enhanced Learning Approaches in English Language Teaching: A Review.

Abstract

- Artificial Intelligence (AI) has emerged as a transformative force in English Language Teaching (ELT), offering personalized and adaptive learning experiences. Research indicates that AI- driven platforms enhance individualized instruction by tailoring content to learners' proficiency levels and styles. AI chatbots provide interactive conversational practice with real-time feedback, while AI-powered assessment tools streamline evaluation processes, reducing teacher workload and ensuring objective grading. However, studies also highlight significant challenges, including AI's limitations in understanding idiomatic expressions, dialectal variations, and cultural nuances. Furthermore, while AI can complement traditional teaching methods, it cannot replace educators' essential roles in fostering critical thinking and creativity. Teacher training remains crucial, as many instructors lack the necessary skills to effectively integrate AI into pedagogical practices. This review underscores both the opportunities and challenges of AI in ELT, emphasizing the need for balanced and informed implementation to maximize its benefits in language education.

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Keywords

Artificial Intelligence (AI), English Language Teaching (ELT), personalized learning, Adaptive learning, AI-driven platforms, Individualized instruction, AI chatbots, Conversational practice, Real- Time feedback, AI-powered assessment.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green