Artificial Intelligence with Google Teachable Machine and Scratch

#Artificial #Intelligence #Pre-University #STEM

Google Teachable Machine is a web tool that makes it fast and easy to create machine learning models for K-12 student projects even with no prior coding knowledge.  MIT Scratch is a free block based programming language and online community where students can create their own interactive stories, games, and animations. This session was targeted towards students studying in 6-9 grades. By bringing AI and Programming together in these sessions, students learnt to create AI enabled applications. The curriculum was based on MIT Media lab’s curriculum Dancing with AI (https://dancingwithai.media.mit.edu/curriculum). Students created AI projects using a new Scratch Extension tool developed for this curriculum - Teachable Machine blocks that allow students to train their own image-recognition models on Google’s Teachable Machine and use them as part of their projects.

Feb 14: Introduction to Artificial Intelligence, Data and Ethics

Feb 15: Scratch Refresher - part 1 - Review of Scartch Blocks

Feb 16: Scratch Refresher - part 2 - Designing Games with Scratch

Feb 17: Designing Interactive AI systems using Google Teachable Machine and Scratch