Resources
Team
Randi Williams Personal Robots Group, MIT Media Lab
Brian Jordan Personal Robots Group, MIT Media Lab
Nisha Devasia Personal Robots Group, MIT Media Lab
Tejal Reddy UROP, MIT
Pablo Alejo UROP, MIT
Publications
Jordan, B., Devasia, N., Hong, J., Williams, R., & Breazeal, C (2021). PoseBlocks: A Toolkit For Creating (And Dancing) With AI. Proceedings Of The 10th Symposium On Education Advances In Artificial Intelligence (EAAI ’21). Reddy, T., Williams, R., & Breazeal, C. (2021). Text Classification For AI Education. Proceedings Of The 52nd ACM Technical Symposium On Computer Science Education (SIGCSE’21).
PRG AI Blocks
Our AI blocks are a suite of drag-and-drop coding blocks that allow student to integrate machine learning models, robotics, and other AI engines into their projects. We develop these blocks on a forked version of the open source Scratch Blocks repository. We typically associate these blocks with specific AI curricula, but they can also be used in a standalone manner.
Access live versions of the extensions using the links below:
Arduino Robot: Scratch 2 | Scratch 3 | Firmware download | Chrome extension
micro:bit robot: Scratch 3 | Firmware download