Harmonizing Education: Unleashing the Potential of Artificial Intelligence in Music Learning

By Dr. Sampath LonkaReviewed by Susha Cheriyedath, M.Sc.Jul 9 2023

In a paper published in the journal Technologies, researchers discuss the benefits of artificial intelligence (AI) in music education, highlighting its interdisciplinary nature and future prospects. By harnessing AI, intelligent technology seamlessly complements conventional teaching methods, addressing individualization gaps and fostering students' enthusiasm for learning.

Background

AI is a branch of computer science that simulates and expands human intelligence. It is an interdisciplinary field that combines philosophy, mathematics, cognitive science, psychology, neurophysiology, and other disciplines. Over the past 50 years, AI has become an important and challenging area of research and development.

The advent of computers has propelled the advancement of contemporary electronic music technology. With the rapid progress in computer multimedia and signal processing, modern music technology, particularly electronic music, has flourished, expanding the horizons of technological innovation. Music technology, an interdisciplinary field encompassing art and technology, explores the utilization of audio software for music creation and production, as well as the integration of computer technology to support music production. The intersection of AI and music education has become a transformative force, revolutionizing traditional teaching concepts and techniques.

The fusion of audio big data with AI has resulted in the emergence of music information retrieval (MIR), utilizing music acoustics and audio signal processing to extract and analyze elements such as pitch and rhythm. AI composition, song synthesis, and digital audio watermarking are among the other notable music technologies contributing to the music industry’s growth. Despite their limitations, these technologies hold significant theoretical and practical value, poised for widespread utilization following continuous refinement.

AI in music education

One of the critical applications of AI in music education is the integration of intelligent electronic musical instruments. These instruments can store various timbres and combine them effectively, providing new possibilities for music creation and learning. Intelligent electronic devices are gradually being introduced into music teaching, enabling students to explore new instruments and expand their creative thinking. Additionally, AI-based systems have been developed to facilitate online music education and wireless network collaboration, enhancing the learning experience for students.

Application of intelligent music software: Intelligent music software is another important application of AI in music education. This software allows users to edit, adjust, record, and process music elements with the assistance of AI. It provides an interactive platform for teachers and students to share learning resources, expanding traditional music teaching methods. AI music software broadens students' musical vision, deepens their music perception, and facilitates communication and feedback between teachers and students.

AI has also been applied to support students with learning disabilities in music education. By leveraging the auditory and motor systems involved in music, AI systems can help students with disabilities become more independent and achieve their learning goals. This inclusive teaching approach enhances the learning experience for students with disabilities and provides teachers with innovative tools and methods to support their diverse needs.

Application in online teaching and online assistance: AI technology has significantly impacted online teaching, online aid, and AI sparring in music education. With advancements in technology and the availability of online platforms, AI-based teaching methods have improved the quality and efficiency of education. Online music education systems based on AI algorithms and intelligent detection have shown positive results in enhancing students' learning efficiency. These systems provide a comprehensive educational environment and offer personalized learning experiences for students.

The "7-7" teaching mode, based on AI, has been proposed to enhance the interaction between teachers and students in music education. This mode involves seven steps for both teachers and students, fostering a more dynamic and engaging learning environment. By incorporating big data analysis and classification, teachers can make informed judgments about students' learning progress and adjust their teaching strategies accordingly.

Application to autonomous teaching: AI-based autonomous teaching in music education is challenging due to the field's emphasis on questioning and innovation. Integrating technology improves education by facilitating effective discussions and interactions between teachers and students. AI methods enhance the online teaching model, providing optimized environments and professional music classes, benefiting both teachers and students.

Conclusion

In summary, integrating AI in music education has enriched available resources within the classroom, enhanced teaching techniques, and broadened the horizons for personalized learning. Furthermore, AI has enabled the development of intelligent music software, intelligent electronic instruments, and online teaching platforms. It has also facilitated the inclusion of students with learning disabilities and enhanced the overall quality and efficiency of music education. As technology continues to advance, the integration of AI and music education is expected to play an increasingly important role in shaping the future of music learning and teaching.