텍스트마이닝 기법을 활용한 국내 음악교육 연구 동향 분석: 4차 산업혁명이 음악교육 분야에 미친 영향을 중심으로

Abstract

The purpose of this study is to understand the impact of the Fourth Industrial Revolution on music education by analyzing research trends in the field. To this end, we extracted research papers from the Research Information Sharing Service (RISS) using keywords such as 'Fourth Industrial Revolution,' 'Artificial Intelligence,' 'Big Data,' 'Virtual Reality,' 'Augmented Reality,' and 'Deep Learning.' After collecting the titles, abstracts, and keywords of these papers, we performed text-mining analyses, including keyword analysis, network centrality analysis, and LDA topic modeling. The results of this study are as follows: First, in the TF and TF-IDF analyses, 'Artificial Intelligence' and 'Music' were identified as the most influential keywords, and 'Program-Development' emerged as the most frequently co-occurring keyword combination. Second, the centrality analysis revealed that the keywords 'Music,' 'Education,' and 'Artificial Intelligence' had nearly equal importance. Third, the topics extracted through LDA topic modeling included subjects such as AI-based music education programs, content development, and the future direction of music education in relation to AI platform technologies.Further research is needed to explore the measures and effectiveness of practical applications that link various technologies of the Fourth Industrial Revolution with teaching and learning.