Research on the Effectiveness Evaluation of Intelligent Composition Tools in Music Education Teaching Practice: Empowered by Artificial Intelligence

Article ID: 4462

6 Views

Keywords: Artificial Intelligence; Intelligent Composition Tools; Music Education; Effectiveness Evaluation

Abstract

In the current era of rapid digital development, the field of music education is undergoing profound changes, and intelligent composition tools empowered by artificial intelligence have emerged. This thesis focuses on the effectiveness evaluation of intelligent composition tools in the teaching practice of music education. Through in-depth exploration in multiple dimensions, it analyzes their impact on the teaching process, students’ learning outcomes, and the music creation ecosystem. At the beginning, it elaborates on the development background and technical principles of intelligent composition tools, revealing the opportunities and potentials for their integration into music education. Subsequently, it accurately expounds on the application models in teaching practice, covering aspects such as auxiliary teaching, inspiring creativity, and constructing personalized learning paths. By using empirical research methods, collecting feedback data from teachers and students, and comprehensively evaluating their effectiveness in enhancing students’ understanding of music theory, cultivating composition skills, and shaping aesthetic qualities, while also frankly discussing the technical limitations, teaching adaptability challenges, and copyright ethics issues faced. Finally, targeted optimization strategies and development prospects are proposed, aiming to provide a solid theoretical basis and practical guidelines for music educators to rationally use intelligent composition tools and promote the innovative development of music education, helping to cultivate music talents who meet the needs of the new era.