Empirical Study on the Impact of Music Education Aesthetics on College Students' Mental Health From the Perspective of Knowledge and Data

This manuscript investigates the impact of music education aesthetics on college students' mental health, using a knowledge and data-driven approach to address limitations in traditional research, limited sample sizes, and lack of empirical support. The study collects data through both online and offline questionnaires, employing the Likert five-point scale to assess students' mental health. A mental health scale is designed to measure students' mental well-being, and machine learning models, such as support vector machines and random forest algorithms, are applied to analyze the data. The results reveal that participation in music education aesthetics leads to a significant reduction in anxiety levels, with scores dropping from 70 to 55, highlighting the positive impact of music education on mental health. This study fills a critical gap in existing research by providing empirical evidence for the design of college music education curricula and mental health interventions.