Artificial Intelligence Curriculum for Primary and Secondary Schools
AI for Developing Digital Competence
Music Education I
Sound Transformations
Sound Transformations
In this lesson, students learn to recognize unique tonal characteristics and timbre while using an application that, thanks to artificial intelligence, can transform any sounds into musical instruments. The goal of the lesson is to show students that every musical instrument has its own distinctive sound qualities and that these can not only be identified through machine learning but also mimicked.
Lesson Overview
Lesson Length
45-90 minutes
Recommended Age
Students are already familiar with the difference between sound and noise. They understand the properties of sound—pitch, duration, timbre, and volume. Children aged 10—16
Tools
Teacher: Projector, presentation slides, computer, speakers.
Students: One or more melodic instruments, a percussion instrument, device, and an external microphone.
What Are the Students Learning?
Each musical instrument has its own unique sound characteristics. Machine learning helps us not only recognize these features, but also imitate them.
Why Are They Learning This?
Students creatively use modern technologies in their own music-making.
How Do We Know They Have Learned It?
They identify instruments by ear during listening activities. After listening, they verbally describe the timbre of different instruments.
Bloom's Taxonomy
Remembering: Students learn and recall terminology related
to the properties of sound and the basics of machine learning.
Analyzing: They analyze the sounds of musical instruments
and compare original audio with AI-transformed versions.
Creating: Students compose original musical pieces using AI tools.
Digital Competence
Professional Engagement.
Digital Content Creation.
Five Big Ideas
5-D-I AI for Social Good (Democratization of Artificial Intelligence)
