LEARNER PERCEPTIONS AND ATTITUDES TOWARDS AI IN ENGLISH LANGUAGE LEARNING

<div>The integration of Artificial Intelligence (AI) into English Language</div> <div>Learning (ELL) is rapidly transforming educational landscapes. This study explores</div> <div>learner perceptions and attitudes towards AI-powered tools within ELL, examining</div> <div>factors influencing their acceptance, engagement, and perceived effectiveness.</div> <div>Through a mixed-methods approach, including surveys and semi-structured</div> <div>interviews, the research investigates learners' views on AI's role in personalized</div> <div>learning, feedback provision, and overall learning experience. The findings reveal a</div> <div>complex interplay of positive perceptions regarding AI's potential for individualized</div> <div>support and negative concerns about the lack of human interaction and potential</div> <div>biases. This paper discusses the implications of these findings for the design and</div> <div>implementation of AI-driven ELL tools, emphasizing the importance of addressing</div> <div>learner concerns and fostering a human-centered approach to technology integration.</div>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-06
DOI
https://doi.org/10.5281/zenodo.14981655
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
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article

LEARNER PERCEPTIONS AND ATTITUDES TOWARDS AI IN ENGLISH LANGUAGE LEARNING

2 citations
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
4.96
article

LEARNER PERCEPTIONS AND ATTITUDES TOWARDS AI IN ENGLISH LANGUAGE LEARNING

article en
2 citations

Abstract

<div>The integration of Artificial Intelligence (AI) into English Language</div> <div>Learning (ELL) is rapidly transforming educational landscapes. This study explores</div> <div>learner perceptions and attitudes towards AI-powered tools within ELL, examining</div> <div>factors influencing their acceptance, engagement, and perceived effectiveness.</div> <div>Through a mixed-methods approach, including surveys and semi-structured</div> <div>interviews, the research investigates learners' views on AI's role in personalized</div> <div>learning, feedback provision, and overall learning experience. The findings reveal a</div> <div>complex interplay of positive perceptions regarding AI's potential for individualized</div> <div>support and negative concerns about the lack of human interaction and potential</div> <div>biases. This paper discusses the implications of these findings for the design and</div> <div>implementation of AI-driven ELL tools, emphasizing the importance of addressing</div> <div>learner concerns and fostering a human-centered approach to technology integration.</div>

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 4%
AI in Service Interactions
4.96
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