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Build Your Own AI Synthesizer: Music, Making, and Mathematics

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Poster
Poster Theme: AI & Emerging Tech in Education
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Session description

This session explores how students can design and build a synthesizer using Arduino/ESP32, integrate AI to generate music, and analyze sound waves through a digital interface. Participants will experience a STEAM approach that blends technology, music, and mathematics, promoting creativity, agency, and hands-on learning.

Outline

In this session, participants will explore the complete process of building a synthesizer with Arduino/ESP32, integrating artificial intelligence to generate or transform music, and applying mathematical analysis of sound signals through a digital interface. The audience will be actively engaged through hands-on activities such as sound exploration, guided programming, and the collaborative creation of a small soundscape.

The session will be organized into clear time blocks: 10 minutes for introducing the STEAM project and sharing inspiring examples, 15 minutes for a guided demonstration of building and programming the synthesizer, 15 minutes for a paired activity where participants personalize sounds and experiment with AI, 10 minutes for analyzing waves and frequencies in the digital interface, and a final 10 minutes for designing pedagogical applications and conducting a collaborative wrap-up. The process will focus on constant interaction, including peer-to-peer collaboration to solve maker challenges, device-based activities to experiment with AI and signal visualization, and group discussions to design strategies for classroom implementation.

To keep the experience dynamic, participants will take on mini creative challenges, such as producing a sound effect or composing a short melody, reinforcing active learning and the integration of music, mathematics, and technology.

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Outcomes

After this session, participants will be able to build a basic synthesizer prototype using Arduino or ESP32, apply principles of artificial intelligence to generate or transform musical patterns, and analyze sound signals such as waves, frequency, and amplitude while connecting them to key mathematical concepts. They will also be able to design STEAM experiences that integrate music, mathematics, and technology within maker environments, implementing strategies that foster creativity, student agency, and active learning. As a tangible outcome, attendees will have practiced with digital and maker tools and will take away a replicable model they can adapt to their own classrooms to inspire students to become creators of both knowledge and digital art.

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Supporting research

-Harel, I., & Papert, S. (Eds.). (1991). Constructionism. Ablex Publishing.

-Crawford, R., & Jenkins, L. E. (2018). Making Pedagogy Tangible: Developing Skills and Knowledge Using a Team Teaching and Blended Learning Approach. Australian Journal of Teacher Education, 43(1). http://dx.doi.org/10.14221/ajte.2018v43n1.8

-Lai, Ming & Lam, Kwok & Lim, Cher Ping. (2016). Design principles for the blend in blended learning: a collective case study. Teaching in Higher Education. 21. 1-14. 10.1080/13562517.2016.1183611.

-Crawford, Renée & Jenkins, Louise. (2015). Investigating the importance of team teaching and blended learning in tertiary music education.. Australian Journal of Music Education. 2015. 3 - 17. "

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Presenters

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Teacher
Andes Puebla
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Andes Puebla
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Andes Puebla
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teacher
Andes Puebla

Posters in this theme:

Session specifications

Topic:

Artificial Intelligence

Grade level:

PK-12

Audience:

Counselor, Teacher, Technology Coach/Trainer

Attendee devices:

Devices useful

Attendee device specification:

Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Hardware Materials; Arduino UNO or ESP32; Breadboard; Jumper Cables; Potentiometers and Buttons; Piezoelectric Speaker/Buzzer; Optional Sensors (Light, Touch, Accelerometer); Laptop or Chromebook with Internet; Projector or Display Screen; Educational Software and Apps; Arduino IDE: Microcontroller Programming; Processing or p5.js: Waveform and Spectrogram Visualization; Python (with Numpy and Matplotlib): Signal Analysis; Audacity or GarageBand: Audio Recording and Editing; AI Apps and Tools; Magenta Studio (Google): AI Melody and Rhythm Generation; AIVA: Music Composition with Artificial Intelligence; Amper Music: AI Soundscape Creation; Boomy: Composition Fast music development with AI; Soundraw: Personalization of melodies by style or emotion; ChatGPT: Support with narrative ideas, lyrics, or technical explanations; Gemini (Google): Idea generation, creative support, and music data analysis
and Databricks: Building AI agents for prose input that can be translated into parameters for sound synthesis

Subject area:

Interdisciplinary (STEM/STEAM), Mathematics

ISTE Standards:

For Coaches: Learning Designer
For Education Leaders: Systems Designer
For Students: Innovative Designer

Additional detail:

Student presentation