ICONESTH
2024: The 2nd ICONESTH

Enhancing Language Learners’ Speaking Skills and Confidence with AI A Study of Adaptive Interactive Methods

Said Miftahul, Fahmi (Unknown)
Zahria, Amalina (Unknown)
Rizka, Marlisa Aini (Unknown)

Article Info

Publish Date
15 Jan 2025

Abstract

Artificial intelligence (AI) continues to redefine education by providing novel strategies to improve language learners’ speaking skills and boost their confidence. This study examines the efficacy of AI-powered adaptive interactive methods in fostering improved speaking fluency, accurate pronunciation, and learner self-assurance. Our research is grounded in a mixed-method approach, utilizing quantitative performance measures and qualitative learner feedback. The results underscore AI’s potential in personalizing learning experiences, reducing anxiety, and building sustained competence in spoken communication. This paper also discusses implementation challenges, ethical considerations, and pathways for future research on AI-assisted language learning.

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Journal Info
ICONESTH
Website

Abbrev

iconesth

Publisher

Universitas Bina Bangsa Getsempena

Subject

Arts Humanities Computer Science & IT Dentistry Mathematics Neuroscience Nursing Public Health Social Sciences Other

Description

The International Conference on Education, Science, Technology and Health (ICONESTH), is a scientific platform that collects academic papers published in an academic seminar. Where the outer targets are distributed journals. This proceeding contains the contributions made by the researchers in the ...