CSTANJ CSPDWeek 2026

In this CSTA-accredited session, students transition from being tech consumers to creators by building an AI-powered art generator.

The lesson emphasizes how data is used to inform machine learning models, which then execute creative tasks.

Key Learning Objectives
Machine Learning Basics: Students learn how to collect and categorize data to train a simple machine learning model.

Algorithmic Design: Using loops, conditionals, and variables, participants design algorithms that generate unique "dot art" based on user input or data sets.

Hands-on Creation: The primary project is an automated art generator that selects and applies colors to create digital works, demonstrating the intersection of creativity and technical building blocks.

Implementation and AccessibilityTarget Audience: The lesson is tailored for students in grades 3–12 and can be completed independently or as a classroom activity.

No Prior Experience Needed: Educators can lead this workshop without a computer science background, as Code/Art provides structured professional development and support for its introductory modules.