Key points are not available for this paper at this time.
The purpose of this study is to examine the characteristic changes in music curriculum over time using scientific analysis methods. To this end, the original texts of the Middle School music curriculum from the revised 2007 to the revised 2022 were analyzed using the TF-IDF technique of Text Mining, a big data analysis method based on artificial intelligence, to extract the core concepts of each curriculum and to examine the trends. As a result of the analysis, the following conclusions were drawn. First, Korean music curriculum have been in a state of flux, reflecting various factors such as global trends in music education, education policies, and needs of the educational community. Second, the paradigm of ‘curriculum reconceptualization’ has been increasingly accepted over time. Third, text mining can be used to analyze and visualize curricula in an objective way, making it easy to intuitively understand curriculum changes over time. It can be a useful tool for curriculum-related research.
Suhee Cho (Fri,) studied this question.