About This Project

While researchers have studied artificial intelligence for education since the 1970s, most teachers even today know little about how artificial intelligence works and how it can be used in classrooms. Research suggests that many teachers want to use more technology in the classroom but have little time to learn how to use new technologies (Dorfman, 2008). However, artificial intelligence can help to motivate students, provide individualized instruction, and leave more time for teachers to focus on the interpersonal aspects of their job (NAfME, 2014; Lang, 2017). With that in mind, we created a website to help music teachers begin to use artificial intelligence in their classrooms.

Our goal was to compile resources that allow all music teachers to easily benefit from using existing artificial intelligence technologies in their classrooms. We also strove to include technologies that are not just replacing tools that are already in music classrooms but instead can provide new possibilities for learning, as suggested by the SAMR (Substitution, Augmentation, Modification, Redefinition) model developed by Dr. Reuben Puentedura. Our approach to developing resources was based on the Technological Pedagogical Content Knowledge Framework (Harris, Mishra, and Koehler, 2009), which suggests that to incorporate technologies, teachers need to know not only how to use the technology but also how to apply it to their content area and to teaching (Bauer, 2014). In order to connect teachers with easily accessible AI technologies, most of the technologies we have included are free, do not require downloads, and can be used without creating an account. In addition to lesson plans and links to specific technologies teachers can use, we've provided information to address teacher concerns about artificial intelligence, as well as a basic overview of how artificial intelligence works so that teachers can understand the technologies they are bringing into their classrooms. We have also included some examples of music composed with artificial intelligence that can be studied or used in classes.

Project Contributors

This project was funded by a research grant from the Xavier University College of Arts and Sciences Undergraduate Research Program.