We engage in multidisciplinary, iterative, and evidence-based research and development with diverse stakeholders to create new technologies, activities, practices and programs for real-world impact in homes, schools, afterschool programs and online communities. A list of publications for these projects can be found here.
Inclusive AI Literacy & Learning is a curriculum project that seeks to teach AI literacy while emphasizing accessibility, equity and adaptability for all.
DAILy is a middle school AI curriculum focusing on on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future.
The AI & Ethics Project seeks to develop an open source curriculum for middle school students on the topic of artificial intelligence and its ethical implications.
Dancing with AI is a week-long curriculum in which middle school students get to build interactive AI projects using a series of newly developed Scratch extensions allowing for natural interaction.
Students can create and train image classification models in App Inventor.
Bringing AI to middle school during Massachusetts STEM Week with i2 Learning.
A robot kit for high school students to learn about generative AI by teaching a robot to draw.
Embeducation is a web application for middle schoolers that introduces the idea of how words can be represented by features by generating word embeddings and plotting these in three-dimensional space.
Supervised Polygons helps middle school students think critically about fairness in AI models by identifying ways that bias can manifest in algorithm-bsed decisions and exploring how this bias may impact users.
MIT App Inventor uses block-based coding tools to simplify mobile app development. New blocks simplify Alexa's Skill development and neural network implementation.
This project, supported by a National Science Foundation (NSF) grant, is designed to develop new learning games focused on improving children’s vocabulary and early literacy skills.
We developed and evaluated a novel expressive cognitive-affective architecture that synergistically integrates models of curiosity, understanding of mindsets, and expressive social behaviors to advance the state-of the-art of robot companions.
Children can create artwork using GANPaint in Scratch and learn about GANs.
A project-based summer STEM program for talented high school students.
Zhorai is an artificially intelligence conversational agent through which children grades 3-5 can learn about AI.
Scratch helps kids learn to think creatively, reason systematically, and collaborate.
Primary AI for K-2nd grade introduces early elementary school students to robotics and artificial intelligence.
Data and privacy design activities developed for the Girl Scouts of Eastern MA.
The PopBots Platform is a tool to introduce young children to programming, robotics, and artificial intelligence by allowing them to build and program their own robots.
Primary AI for 3-5th grade introduces upper elementary school students to robotics, artificial intelligence, and design thinking.
4-Steps to Debating technology and AI with your child.
Use Rock Paper Scissors to create a program that allows the machine to observe and learn from its user's game choices using a Markov Model!
Can an app on your phone be your next therapist? This tutorial will show you how to make your own therapist bot app using App Inventor.
This student guide/tutorial shows you how to use the Personal Audio Classifier website to train an audio model using short 1-2 second recordings.
In this project you are challenged to create your very first own Voice User Interface (VUI) as you build a voice-driven calculator that can do basic arithmetic operations.
Teaching middle school students the practices and ethical implications of creative machine learning techniques, such as GANs and style transfer.
Various extensions to the Scratch programming languages allow students to build AI-enabled projects.
A video series about experts in AI.
In this project you will learn how to use the new AI technology PoseNet to track key points of your body to create a skeletal model and develop some basic methods to quantify, measure and identify some dance moves.
Would you like to make your own facial filters? In this tutorial, we will be using facial landmark detection to create a filter camera using a new AI technology called Facemesh.