ComposeOn Academy: Transforming Melodic Ideas into Complete Compositions Integrating Music Learning
Project Overview
The document explores the transformative role of generative AI in education, highlighting various applications and outcomes. One notable example is ComposeOn, a music theory-based tool that supports users with limited musical training in composing music. By allowing users to develop their melodic ideas into complete compositions while simultaneously learning music theory, ComposeOn enhances both engagement and educational value. User studies reveal that this tool not only provides a more enjoyable experience compared to traditional generative AI tools but also effectively bridges the gap between theoretical knowledge and practical application. Overall, the findings underscore the potential of generative AI to enrich learning experiences across different educational contexts, fostering confidence and creativity in learners while facilitating deeper understanding of complex subjects.
Key Applications
ComposeOn Academy
Context: Designed for individuals with limited musical knowledge, including beginners and intermediate users, to assist in music composition and theory learning.
Implementation: Users input melodies through singing or playing instruments, which are then processed to generate compositions while providing theoretical explanations.
Outcomes: Users reported improved access to music creation, better understanding of music theory, increased engagement, and enhanced confidence in their creative abilities.
Challenges: User familiarity with music theory and the complexity of existing generative AI tools may hinder initial engagement.
Implementation Barriers
Technical Barrier
Existing music composition tools can be overly complex for beginners, requiring prior knowledge of music theory.
Proposed Solutions: ComposeOn simplifies the process by integrating music theory into the composition, providing tiered explanations and user-friendly interfaces.
Perception Barrier
Users often feel disconnected from generative AI music tools, viewing them more as entertainment rather than as learning aids. ComposeOn emphasizes user involvement in the creative process, encouraging active engagement and personal expression.
Proposed Solutions: Encouraging active engagement and personal expression in the creative process enhances the perception of generative AI music tools as legitimate learning aids.
Project Team
Hongxi Pu
Researcher
Futian Jiang
Researcher
Zihao Chen
Researcher
Xingyue Song
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Hongxi Pu, Futian Jiang, Zihao Chen, Xingyue Song
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai