The Effectiveness of AI-Assisted Language Learning : Possibilities of Facilitating the Intelligibility of Korean-Accented English
Year: 2024
Type: article
Study design: Clinical Trial
Abstract: This study investigated an artificial intelligence (AI)-assisted mobile application's effects on both motivation and development in Korean-speaking English learners (KSLs).We addressed three research questions: whether implementing AI apps, such as Google Assistant in L2 pronunciation training (1) enhances L2 listening proficiency, (2) increases L2 learning motivation, and (3) enhances extracting learnable phonological features.Three intact classes of KSLs (N = 74) were assigned to three groups: control (N = 25); a form-focused group that received a four-week explanation of Korean-accented English (KoE) (N = 25); and an AI app treatment group that received four weeks of mobile application pronunciation training in addition to the KoE explanation (N = 24).We conducted a quasi-experimental design with pre-, post-, and delayed post-listening tests on speech perception.In addition, we administered two questionnaires adopted from the Attitude and Motivation Test Battery (Gardner, 1985) ten weeks apart using a pre-and post-test design.Our results indicated that the mobile-assisted pronunciation practice improved L2 listening proficiency (linguistic level) and motivational level (affective domain).The findings confirmed that the ability to distinguish between consonant related features is readily learnable, suggesting that pronunciation practice using AI apps should be encouraged in L2 teaching and learning.Z세대는 모바일 기기의 사용이 일상화되어 있고, 이러한 경향은 특히 스마트폰을 통한 학습 도구의 활용 가능성을 높이고 있다.본 연구는 인공지능(AI) 기반의 모바일 애플리케이션이 한국어를 사용하는 영어 학습자(KSL)의 언어 학습 동기와 언어발달에 미치는 영향을 조사하였다.실험은 한국인 대학생 74명을 통제 집단(25명); 4주간 한국인 발화의 영어(KoE)에 대한 강의를 들은 형태 중심 집단(25명); 4주간 KoE 강의와 함께 모바일 애플리케이션을 활용한 발음 훈련을 실시한 AI 앱 처치 집단(
Source: The Journal of AsiaTEFL
Authors: Bohyon Chung, Hyun Kyung Miki Bong
Institution: Kongju National University
Language: English
Topic: Mobile Learning in Education
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4403954401