CSTANJ CSPDWeek 2026

This workshop moves beyond using microcontrollers to designing intelligent systems. Educators will explore how AI, physical computing, and engineering design intersect through the CreateAI for micro platform, while also extending into Arduino Uno for more complex hardware applications.

Participants will deepen their understanding of how to scaffold from beginner physical computing (Micro:bit) to more advanced systems (Arduino + AI), while building classroom-ready projects that integrate:

Machine learning concepts

Sensor-driven decision making

Real-world problem solving

Standards-aligned computational thinking

By the end of the session, educators will not only build, but also design curriculum systems that scale across grade levels.

Introduction to AI with Micro:bit (CreateAI)
Tool Focus: CreateAI for micro

Activities:
Train a simple ML model (e.g., gesture recognition or sound classification)

Connect model to Micro:bit inputs/outputs

Test real-time predictions

Concepts Covered:
What is machine learning? (classification vs. rule-based coding)

Training data vs. hard-coded logic

Inputs → Model → Outputs pipeline

Classroom Connection:
How to teach AI without requiring math-heavy background

Age-appropriate explanations of bias and accuracy

Activities:
Build a game or interactive system using CreateAI:

Example: reaction game, smart pet, movement-based controller

Integrate:

Variables (state tracking)

Conditional logic based on predictions

Feedback systems (LED, sound, motion)

Arduino Deep Dive
Tool Focus: Arduino Uno

Activities:
Compare Micro:bit vs Arduino:

Built-in vs external components

Build a simple circuit:

LED + sensor input

Intro to text-based programming (Arduino IDE)

Concepts:
Voltage, pins, and circuits

Scaling complexity in hardware systems

When to transition students to Arduino


Deliverables:
Sample rubric (process + product)

Project scaffolding templates

Challenge Design System (Whole Group) Activities:
Walkthrough of Challenge Creator workflow

Participants design their own:

Beginner → Intermediate → Advanced progression

Generate a standards-aligned challenge using AI