Volume 4,Issue 3
Research on Piano Teaching Model Reconstruction for Vocational Undergraduates in the Context of Artificial Intelligence
In the era of deep integration between artificial intelligence and educational digitalization, traditional piano teaching models in vocational undergraduate programs face practical challenges including insufficient personalization, delayed feedback mechanisms, weak practical training components, and disconnection from occupational requirements. Artificial intelligence technology provides data support, technical platforms, and innovative pathways for piano education reform, driving the transition from "skill-transfer-oriented" instruction to "intelligence-enabled pedagogy." Grounded in vocational undergraduate institutional positioning and talent development objectives, this study analyzes the empowering value and practical challenges of AI applications in piano education. Through six dimensions—educational goals, curriculum frameworks, instructional processes, practical scenarios, evaluation mechanisms, and faculty development—we construct an integrated "AI + vocational competencies + aesthetic education" teaching model. The proposed implementation strategies aim to achieve deep integration of technological empowerment with vocational education and aesthetic education, ultimately enhancing the quality of piano talent cultivation in vocational undergraduate programs.
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