The Exploration of Artificial Intelligence in Pronunciation Teaching

Yian Zhao

2024

Abstract

This paper explores the integration of Artificial Intelligence (AI) in pronunciation education, shedding light on its transformative impact, limitations, and future direction. It examines how AI’s adoption, through technologies like speech recognition and adaptive learning algorithms, offers personalized and accessible learning paths, significantly enhancing pronunciation skills. The study highlights AI’s capacity for real-time feedback and its role in creating immersive learning experiences via augmented and virtual reality, thereby revolutionizing traditional language learning methodologies. Addressing ethical considerations, the paper delves into data privacy and the challenges of ensuring unbiased AI systems. It acknowledges the limitations of AI, such as its lack of emotional intelligence and the potential for decreased human interaction, emphasizing the necessity of a balanced approach that marries technological innovation with the irreplaceable value of human touch in education. By proposing a forward-looking perspective, the research advocates for further exploration into hybrid models that integrate AI tools with conventional teaching methods, aiming to optimize language learning outcomes. This study contributes to the broader discourse on educational technology by providing insights into the responsible and effective use of AI in pronunciation education, underlining the importance of ethical considerations and the continued need for human-centered educational practices.

Paper Citation

in Harvard Style

Zhao Y. (2024). The Exploration of Artificial Intelligence in Pronunciation Teaching. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 127-131. DOI: 10.5220/0012829100004547

in Bibtex Style

@conference{icdse24,
author={Yian Zhao},
title={The Exploration of Artificial Intelligence in Pronunciation Teaching},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={127-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012829100004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - The Exploration of Artificial Intelligence in Pronunciation Teaching
SN - 978-989-758-690-3
AU - Zhao Y.
PY - 2024
SP - 127
EP - 131
DO - 10.5220/0012829100004547
PB - SciTePress