Research on Blended Teaching Strategies Assisted by Software in Basic Music Education

As educational institutions increasingly incorporate digital tools into traditional teaching methods, the integration of software into music education presents new opportunities for enhancing student engagement, creativity, and learning outcomes. It explores the effectiveness of blended teaching strategies assisted by software in the context of basic music education in primary and secondary schools using the Artificial Intelligence-Enhanced Blended Music Education (AIBME) Framework. This framework combines AI-assisted learning tools with traditional in-class instruction to create a personalized and adaptive learning environment. The framework includes four core components: AI-driven music theory lessons, real-time practice and performance monitoring, interactive online learning modules, and teacher-assisted classroom activities. Data are gathered from student performance records within a primary and secondary school music education program. The data undergo preprocessing through standardization to ensure consistency and reliability in analysis. It introduces the Intelligent Cheetah Optimized Recurrent Neural Network (ICO-RNN) to enhance the efficiency of the learning process by optimizing AI models for personalized student feedback and adaptive learning paths. It explores the effectiveness of the AIBME framework in improving student engagement, enhancing musical skills, and fostering a deeper understanding of music theory and practice. The Python platform was employed. The findings emphasize the efficacy of the AIBME framework, as demonstrated by its overall average values in F1-score (86.6%), precision (85.6%), recall (87.6 %), and accuracy (86.8 %), to evaluate the effectiveness of the suggested model. Additionally, it evaluates teacher perceptions of AI’s role in the classroom and its potential to complement traditional teaching methods. Through the integration of AI, this framework seeks to bridge the gap between conventional music education and modern technological advancements, ensuring a more efficient and accessible learning journey for students.