An evaluation of AI-based college music teaching using AHP and MOORA

Artificial intelligence has developed and advanced to the point where it is now effectively implemented in every domain of life, including music. The music business is being fundamentally changed by shrewd, intellectual methods that rely on AI. These tools make it very easy for musicians to create high-caliber music. Today, sophisticated and clever robots are capable of creating and composing music, one of the most fascinating and priceless works of human ingenuity. Intelligent programs based on artificial intelligence have enabled robots to create beautiful music without the involvement of any humans. The proposed article is focused on the usage of AI-grounded techniques for the learning of music and its classification. It shows that with new technologies, highly interactive interfaces and classrooms can now be developed for the effective and efficient teaching and learning of music. Almost all of the students favor the implementation of such methodologies to improve their performance in music learning and composition. The need for time to employ AI for the quick improvement of the students’ musical talent allows them to become professionals in their field. The design of animated courses with the integration of virtual reality and artificial intelligence can enhance the interest of students in learning and developing their skills. The study then acquired various important characteristics from the existing literature in the area of research and selected the most common ones. Then, with the implementation of the analytical hierarchy process (AHP), these features are assigned weights. For the ranking of the alternatives, the method of multi-objective optimization on the basis of research analysis was utilized. AI-based methods in music education have several advantages and are revolutionizing how students learn about and interact with music. Personalized learning, accessible education, improved practice and performance, help with composition and arrangement, and music theory and analysis are some of the main benefits.