Giving Compass' Take:

• Getting Smart discusses how technology can disrupt music education in a positive way, with machine learning helping students get instant feedback while still inspiring creativity.

• The connections between music and math are strong, so it makes sense that edtech can infuse new vibrancy to music class. Could similar programs be applied to other forms of art and expression in school?

• Here's how we can build stronger communities through arts education.

With the rapid evolution of technology, new tools for creativity and development are constantly emerging. Musicians today are beginning to use machine learning, where computers “learn” over time by being fed large amounts of data, to create music in new and innovative ways. The computers process this data and identify patterns, allowing them to act on future data. After identifying these patterns, computers can classify new information, make predictions, or even generate novel, creative content. In the world of music, the possible applications of this technology are endless.

In music education, machine learning techniques can supplement numerous parts of the curriculum such as musical performance, composition, theory, and production. Incorporating machine learning into music education can enrich the learning process and add new layers to already engaging courses. While applications of machine learning have untapped potential, there are numerous techniques that can be adopted in the classroom today:

  1. Live feedback on musical performance
  2. Musical composition and improvisation
  3. Music theory and analysis
  4. Recording, mixing, and production

Read the full article about machine learning and music education by Daniel Browning at Getting Smart.