Music is a worldwide language that can bring people from all over the world together. As new technologies improve our communication, artificial intelligence is taking over our hearts, thoughts, and even ears. AI is creating a world in which people can automate, personalize, and learn. The music and education industries are not immune to the effectiveness of this developing technology. Amper’s A.I., for example, can now compose their own albums, while other intelligent programs, such as SmartMusic, allows users to experiment with composition and production. Yet, before emerging musicians can strike a connection with audiences, they must first develop their own talents.
AI has the potential to become the next big learning tool. For the time being, AI cannot totally replace the creative process, but it is making music instruction and creation easier than ever before. But how will machine learning improve music education and encourage more human musical innovation? Artificially intelligent education technology (AIEd) can reorganize music education to be more collaborative and creative, all while revolutionizing the medium and the freedom musicians have for creating new compositions.
The Computation of Sound to Rhythm
Teachers in traditional music classes impart their knowledge by guiding students through conversation and demonstration using physical instruments on topics such as rhythmic patterns, cadence overlaps, and chord progressions. Nonetheless, AIEd may be of assistance to human teachers in the classroom.
One of the first smart classrooms in the United States was developed by a music professor at Penn State University. Teaching apprentices could practice with AI students in this AI/virtual reality scenario dubbed “First Class.” If educators can utilize AI to help pre-service music educators, they can undoubtedly use it to serve music students as well. Organizations like Third Space Learning are already adopting platforms that use artificially intelligent technologies to monitor and improve instruction. In this scenario, students communicate with instructors via an online whiteboard while answering questions.
The startup, in collaboration with experts at the University College London, is analyzing roughly 100,000 hours of audio and written data from tutorials to see how AI may aid augment lectures to nurture improved student knowledge and performance. Furthermore, success measures can be derived from raw audio data to illustrate how many problems were encountered, how valuable the session was for the student, and how the tutor assessed the session.
According to Pearson, existing computer systems can already provide one-on-one instruction and facilitate group conversations. They can also be used to recreate complex environments or situations for educational reasons. They believe that AI will be able to provide feedback on students’ progress, knowledge status, and even moods in a matter of seconds in their study Intelligence Unleashed: An Case for AI in Education. Businesses can therefore design musical instruments and auxiliary teaching programs that are equipped with and linked to digitized features and platforms that can monitor, direct, and analyze practice and performance while students are active in music classrooms and at home.
In fact, Laurie Forcier, the author of Pearson’s AI paper, believes that “lifelong learning companions” — robotic tools in the form of devices or applications — might ask questions, provide encouragement, offer ideas, and connect to online resources. If pupils experience challenges, such as a wrong rhythm, the companion can help guide the performance or even suggest alternative tactics.
Artificial Intelligence and College Music Education
Music is crucial in art education in colleges and universities, and acquiring music theory and mastering basic abilities are essential. Students can only be really engaged in music learning and establish rich associations with art in the process of learning knowledge and abilities by stimulating their interest in music learning and allowing them to appreciate the artistic beauty of music through melody, rhythm, and context. Conventional music education in higher education emphasizes “oral instruction” and is mostly guided by teacher demonstrations, with the majority of practical training occurring after class. Students’ musical talent is not very effective due to a lack of timely instruction from professors, which is not favorable to promoting students’ interest and initiative in music learning.
The application of artificial technology in the realm of music has paved the way for the creation of new works as well as new paths and instructional approaches for music instructors. Currently, in the field of artificial intelligence and big data, there has been a recent notion to support the growth of music education through the teaching and application of artificial intelligence technology in arts education. Algorithms in the artificial intelligence environment can deliver individualized learning to students based on their feedback, as well as provide trustworthy teaching suggestions to teachers, considerably boosting the efficiency of students’ mastery of the information at hand.
The ongoing application of AI technology in the field of music education will inspire music instructors to increase their competence, gain unique understanding, focus on humanistic concerns, and investigate the ultimate importance of music training from a developmental aspect. In order to sublimate the educational purpose and role of music teachers in this era of artificial intelligence and human-computer interaction, it is also necessary to learn and understand developing technologies such as artificial intelligence with an open mind, grasp scientific ways of use, and acknowledge the worth and limitations of technology as a supplementary tool.
Artificial Intelligence and Preschool Music Education
One way that AI can be used in preschool music education is through the development of educational apps and games that incorporate music and interactive learning experiences. For example, there are already several apps available that use AI to provide personalized learning experiences based on a child’s individual abilities and interests. These apps can be a fun and engaging way for preschoolers to learn about music, rhythm, and melody while also improving their cognitive and motor skills.
Another way that AI can be used in preschool music education is through the creation of intelligent musical instruments that can adapt to a child’s playing style and provide real-time feedback and guidance. For example, there are already several smart pianos and guitars available that use AI to analyze a child’s playing and provide customized feedback to help them improve their technique and musicality.
AI can also be used to create virtual music tutors that can provide one-on-one instruction to children in real-time. These virtual tutors can use machine learning algorithms to analyze a child’s playing and provide personalized feedback and instruction to help them improve their skills and develop their musical abilities. Furthermore, AI can be used to create personalized playlists of music for preschoolers based on their interests and preferences. By analyzing a child’s listening habits and musical preferences, AI algorithms can create customized playlists of songs and music that are tailored to their individual tastes.
Sources:
https://www.sciencedirect.com/science/article/abs/pii/S0045790622001434
https://iopscience.iop.org/article/10.1088/1757-899X/750/1/012101
