원문정보
Analysis of Research Trends Related to Artificial Intelligence in Korean Music Field
초록
영어
As the Ministry of Education expanded the importance of artificial intelligence education in 2020, artificial intelligence education is now included in the field of compulsory education and university education. The impact of artificial intelligence is now deeply embedded in our lives. Accordingly, we need to consider several factors, such as the necessity and value of artificial intelligence, its differences from humans, and coexistence and cooperation with humans. In order to prepare for this new phenomenon, this study collects and analyzes AI-related academic journal research published from 2018 to 2021 to identify AI research trends in the music field, and research directions and possibilities for the future aims to present To this end, 14 AI-related music researches were collected from RISS, and the collected data were analyzed on journal types, research method types, research titles, research topics, research keywords, AI tools, etc. As a result of the analysis of the research method type, most of the literature studies informing the new phenomenon of artificial intelligence and case information were studied, and there were two experimental studies and two practical studies. Among the music fields, composition creation was the most used artificial intelligence, and artificial intelligence, music education program, composition, deep learning, and creativity were investigated the most used as key words for research data.
한국어
2020년 교육부가 인공지능 교육의 중요성을 확장시키면서, 이제는 의무교육과 대학교육 현장에 인공지능 교육이 함께하게 되었다. 인공지능의 영향은 이제 우리 삶 속으로 깊숙이 들어와 자리를 잡고 있다. 이에 우리는 인공지능의 필요성, 가치, 인간과의 차이점, 인간과의 공존 및 협력 등 여러 가지를 고려해봐야 한다. 이러한 새로 운 현상을 대비하기 위하여, 본 연구는 2018년부터 2021년까지 발표된 음악 분야의 인공지능 관련 학술지 연구를 수집하고 분석하여 음악분야의 인공지능 연구동향을 파악하고, 미래를 위한 연구 방향과 가능성을 제시하는 것을 목적으로 한다. 이를 위해 RISS에서 14편의 인공지능 관련 음악연구를 수집하였고, 수집된 자료를 대상으로 학술 지 유형, 연구방법 유형, 연구 제목, 연구 주제, 연구 핵심어, AI 사용 도구 등에 대해 분석하였다. 연구방법 유형 분석 결과 인공지능이라는 새로운 현상파악과 사례정보를 알리는 문헌연구가 대부분이었으며, 2편의 실험연구와 2편의 실행연구가 있었다. 음악분야 중에서도 인공지능이 가장 많이 활용되고 있는 것은 작곡 창작이었으며, 연구 자료의 핵심어로 가장 많이 사용된 것은 인공지능, 음악교육 프로그램, 작곡, 빅데이터, 딥러닝, 창의성의 순으로 조사되었다.
목차
Abstract
Ⅰ. 서론
1.1 연구의 목적
1.2 연구 방법
Ⅱ. 이론적 배경
2.1 인공지능과 딥러닝
2.2 인간과 인공지능
2.3 인공지능과 음악
2.4 인공지능 음악교육 프로그램
Ⅲ. 본론
Ⅳ. 결론
REFERENCES
키워드
저자정보
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