Abstract
Abstract This study explores the integration of information technology tools, such as audio signal visualization, score recommendation algorithms based on difficulty features, and sight-singing assessment algorithms, into the development of an intelligent music classroom. It evaluates the impact of these technologies on teaching quality and efficiency, emphasizing their role in enhancing music sight-singing and classroom visualization. Findings reveal that innovative music education significantly improves teaching outcomes. While over half of the students responded positively to the creative teaching approaches, a segment found the material presented through music visualization challenging. However, introducing an intelligent music education classroom markedly benefits students’ musical learning.
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