This study explores the integration of ChatGPT, OpenAI’s conversational AI, into English as a Foreign Language (EFL) classrooms at Korean universities, focusing on student interactions and language learning strategy preferences. It categorises interactions using the Strategy Inventory for Language Learning (SILL) and Strategic Self-Regulation (S2R) frameworks to evaluate the pedagogical effectiveness of AIassisted learning. Ninety-nine university students participated in training sessions with ChatGPT prompts tailored to different learning strategies. Data were collected through surveys, chat transcripts, and qualitative feedback. Results indicate frequent student interactions with ChatGPT, averaging 4.49 strategies in initial training chats. Compensatory strategies like error correction and adaptive difficulty received high ratings, while social strategies were rated lowest. Metacognitive strategies, especially planning and summarising, were also well-received. The study concludes that ChatGPT supports diverse learning strategies, enhancing linguistic competence and promoting self-regulated learning. However, limitations such as AI accuracy and authenticity issues highlight the need for continued human interaction in language education.

This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not given such instruction or training as a control group. A pre- and post-test experimental design was used. The treatment period was four weeks. Participants who were taught about using automatic speech recognition for pronunciation practice showed small but significant improvements in pronunciation accuracy than those who did not. In addition, automatic speech recognition was found to assist in the diagnostic evaluation of common pronunciation errors, although it did not produce statistically significant improvements. Participants responded positively to the use of automatic speech recognition for pronunciation practice and testing, although there remain some concerns over technical aspects of the test.

다문화 가정 한국어 교육 발전을 위해서 이를 담당하는 전문 교원의 육성은 매우 중요한 문제이다. 온라인-오프라인 통합 한국어 교원 양성과정이 다문화 가정 한국어 교원의 전문성 확보에 중요한 역할을 하고 있음을 전제로 하여, 본고에서는 기존 온라인-오프라인 통합 한국어 교원 양성 과정과 다문화 가정 한국어 교원 육성의 관련성을 검토하고 다문화가정 한국어 교원 육성의 주요 대안으로 온라인-오프라인 한국어 교원 양성 과정의 가능성을 살펴보고자 한다. 그리고 이를 통하여 보다 효과적으로 다문화 가정 한국어 교원을 육성할 수 있는 방안을 모색해 보고자 한다.