Effectiveness of <scp>AI</scp> ‐Driven Vocal Art Tools in Enhancing Student Performance and Creativity
Hui Liu, Wei Guo
Abstract
ABSTRACT In contemporary music education, innovative technologies, particularly artificial intelligence (AI)‐based tools, play a crucial role. The objective of this study was to assess the effectiveness of AI‐based tools in enhancing students' success and creativity. The study involved 158 students from a leading music institution, who were divided into control and experimental groups. Methods employed included surveys and testing, along with AI‐based tools: Vocal AI Analyzer and Smart Vocal Coach. The results indicated a significant improvement in vocal skills (from 3.5 to 4.5 in the experimental group) and creativity (from 2.9 to 4.1 in the experimental group) compared with the control group. The AI‐based tools demonstrated high effectiveness, providing individualised instruction and immediate feedback. The practical significance of the research lies in the potential implementation of such technologies in music educational institutions to enhance teaching effectiveness and the development of students' creative abilities.