Identifying Phonological Barriers in Korean-Accented English Using Artificial Intelligence Apps

• 발행기관: 한국영어어문교육학회
• 저자명: Bohyon Chung
• 간행물 정보: 『영어어문교육』영어어문교육 제27권 제3호, 27~45쪽, 전체 19쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2021.09.30

영문 초록

Foreseeing the future of English education, this study has incorporated artificial intelligence voice assistant mobile phone applications (AI apps) into English Language Teaching. The study explored: (1) to what extent the current AI apps can dictate Korean-accented English (KoE), and (2) the phonological elements that are commonly misrecognized by the current AI apps. To accomplish these goals, 108 Korean undergraduates, whose English proficiency levels were on average B2 (upper-intermediate level) according to the Common European Framework of Reference for languages (CEFR), participated in the study. Each participant read twenty-five sentences aloud, while AI apps produced transcripts of their dictation. Then the percentage of correctly recognized target words was calculated to determine speech intelligibility. The findings show that KoE attained an accuracy rate of 56.8 percent on average, ranging from 50.1 to 62.7 percent. The KoE barriers associated with the phonological features of less intelligible tokens were also investigated. By bringing attention to the features in comparison to the Lingua Franca Core targets (Jenkins, 2000), the findings suggest the necessity of further research into the feasibility of implementing AI apps within teaching practices, and expanding the boundaries of English as a lingua franca research to KoE, which has not been sufficiently studied.

목차

I. INTRODUCTION

II. LITERATURE REVIEW

III. METHODS

IV RESULTS AND DISCUSSION

V. CONCLUSION

VI. PEDAGOGICAL IMPLICATION: MOST USEFUL FEATURES TO TEACH FOR KSLS

키워드

intelligibility mobile applications Korean-accented English pronunciation teaching]]