AI기술을 활용한 초등영어교육 연구 동향 분석

A research trend analysis of elementary English education using AI technology

This study analyzes a research trend in elementary English education using AI technology in terms of quantitative changes, research domains and research methods. To this end, the current study employed a keyword search of Korea Citation Index (KCI) to derive 61 papers, which were screened in terms of the content and application level and winnowed down to 58 papers. The papers were quantified in terms of their publication year, research domain and research method. The findings were: The quantity of research increased dramatically since the onset of the COVID-19 pandemic in 2020. The domain of research centered around programs and curriculum development plus their application to the classroom. Most studies have been conducted to verify the effectiveness of speech recognition-based programs in speaking classes or to analyze the effect on the affective domain of students. Evaluation Model or the process of education and learning and teaching models or using chatbot and only research to develop a task. The chosen research method consequently aggregated around the development research method and the experimental method to build and discover the effects of AI programs and curriculum. Quantitative research methods were used the most. In addition, methods such as mixed research, qualitative research, development research, and literature research were used by the researchers. Finally, it can be found that the research papers on elementary English education applied throughout AI technology published in domestic journals were explored and analyzed by this researcher.