A Data-Driven Framework for Music Aesthetic Education Content Optimization
To address the problems of homogenized content, delayed feedback, and insufficient alignment between teaching content and student interests in music aesthetic education, this study presents a data-driven framework for curriculum content optimization. The framework integrates multi-source student data and applies K-mean...