Designing Scratch Apps with Artificial Intelligence & Machine Learning
January 11, 2026
W232A
Classroom Leaders
Ever wondered how Shazam knows what song is playing, how Netflix knows which movies to recommend, or how your smartphone recognizes your face to unlock? All of these features are based on an area of artificial intelligence called machine learning. Come to this session to explore what machine learning is, how supervised machine learning works, and experiment firsthand with student-friendly machine learning technologies that recognize text, speech, and images. Try out several AI extensions with pre-trained machine learning models that can enhance your Scratch apps. Then, impress your colleagues and students by developing and testing your own machine learning models using Google’s Teachable Machine and using them in Scratch to create a working AI app! By experiencing this scaffolded approach, you will see how these basic coding activities with Scratch AI extensions can be used in meaningful and empowering ways with students as young as grades 1-5, with tips for adapting them into more complex applications for middle schoolers, high schooler, and even AP Computer Science Principles Create task projects.
Access Type
All-Access or Session+ Registration Permitted (Pre-registration required.)
Session Type
Workshops
Topic
Computer Science (coding/computational thinking)
Level
PK-12
Curriculum Area
Computer Science (Coding/Robotics/etc.)
