An evaluation of matrix training to teach college students piano notes and rhythms

Langton et al. (2020) taught college students to name and play piano notes and rhythms. They used matrix training. This means they combined a few note values with a few rhythm patterns. Students practiced only some of the pairs. The team then tested if the learners could play the rest without direct teaching.

The study used a single-case design. All participants were neurotypical adults new to piano.

After matrix training, students scored near perfect on both naming and playing the trained items. Most of the untaught combinations also emerged. Generalization happened to new sheet music but not to sound-clip tests.

Hill et al. (2020) got the same piano goal with kids. They used equivalence-based instruction instead of matrix training. Both methods worked. Hill's learners were both autistic and neurotypical children. The takeaway: you can pick either method to fit your client.

Peters et al. (2013) showed that stimulus order does not change emergent tact learning in toddlers with autism. Like Langton, they relied on equivalence-style logic and saw new skills appear without extra teaching.

Tavassoli et al. (2012) used pyramidal BST to train teachers fast. Their efficiency logic matches matrix training: teach a small set, get a big payoff.

You can save hours by using matrix training. Pick a few key examples that span your skill set. After mastery, probe the untaught combos. If they emerge, you are done. If not, add more exemplars. This works for music, sight words, math facts, or any two-dimensional skill. Try it next time you face a long teaching list.