Musicaliti Table of Early Childhood Music Skills Progression

This table of music skills progression was developed from a wide range of literature from scientific research, social science studies and music education theorists.  This combination makes it one of the most comprehensive summaries of research available on music education for early childhood, and was designed to be accessible to practitioners with minimal explanation needed.

Toddler and mother playing ukulele
Children learn quickly in their first few years, so introducing them to new experiences is vital to their music skills progression!

Some websites and early childhood music groups detail the benefits of music training for university entrance, prevention of antisocial behaviour, preparation for business success, foundational skills of academic achievement and enhanced sports skills.  Musicaliti prefers to focus on how adults can best support children by suggesting  activities and skills that are age-appropriate and developmentally-appropriate for each age group (under 7 years).  Musicaliti strives to equally balance the focus on creativity, musical excellence and child development, towards creating a love of creating music for life.

Primary infants hopping on coloured spots
Using a rolling music programme allows children to develop musical confidence while introducing more complex ideas, like musical intervals.

While the colour-coded "awards" are suggested levels of recognition, the activities on the left list activities that children are often able to successfully achieve within the year stipulated.  These activities can be applied to local or familiar songs, turning them into games in which children play for the sheer enjoyment.  The Musicaliti programme books suggest activity sequences and suitable songs by topic, and can be used to enhance current curricula, mixed and matched to existing curricula, or as complete stand-alone curricula.

Musicaliti Table of EC Skills Progression
This table identifies musical levels of ability based on a meta-data analysis based on leading research.