With the birth of ChatGPT, it has had a strong impact on the education industry, and the education association research is also diverse. This study aims to provide reference and new ideas for academic research in the educational field by analyzing the current research status, research hotspots, and research trends of ChatGPT in the field of education, and to provide some suggestions and new initiatives for education regulatory authorities. This study mainly used literature analysis and bibliometric methods to conduct quantitative and statistical analysis on the selected 452 advanced literature. At the same time, with the help of research tools such as CiteSpace 2022, WORDART2024, and XLSX2024, the data of the literature was input to generate visual charts. Through the interpretation of the charts, conclusions were drawn. This study analyzes the main characteristics of the current research situation through the distribution of literature time, disciplinary specialties, research level, and academic journals. Secondly, the distribution of research hotspots is revealed through keyword frequency statistics and keyword co-occurrence analysis. By analyzing the author's research trends and publishing institutions, it aims to explore the development trends in this field. Finally, this study found that the number of publications on the association between ChatGPT and education showed a steady upward trend, with the main disciplines focused on educational theory and computer application technology, and the publication journals concentrated on university sponsored academic journals and Chinese core journals. The research hotspots revolve around artificial intelligence, with strong intersection between hotspots. The research authors have strong independence and weak correlation. But there is strong integration and correlation between research institutions.

본고는 중국어 학습자를 대상으로 30개의 단어 연상에 대한 설문조사를 실시하여, 20대 대학생의 인지적인 측면의 특징을 살펴보고, 어휘 교육 방법에 적용하고자 하 였다. 사회가 변하면서 일부 단어 연상의 결과가 예전의 인식과 달라지고 있다는 것 을 알 수 있었다. 일부 추상적인 단어에서는 반응어 종류가 매우 다양한 것으로 나 타났다. 특히 형용사 ‘빨갛다’의 경우 예전의 설문조사에서는 출현하지 않았던 단어 들이 많이 출현한 것을 알 수 있었다. 반응어 종류가 가장 많은 것은 품사별로 명사 ‘책’과 ‘영화’, 동사 ‘좋아하다’, 형용사 ‘기쁘다’로 나타났다. 조사 결과를 토대로 적용 할 수 있는 어휘 교육 방법을 제안하였다.