Project Overview
Data science is a crucial 21st-century competence, shaping professional practices from citing evidence when advocating for social change to designing AI models. However, many K-12 data science tools and lessons are tied to desktop computers or browser-based platforms. The App Inventor’s Mobile Data Science Toolkit (MDST) components and related curriculum guide middle and high school students in engaging with real-world data science practices on phones. Students investigate authentic solutions to community-based issues through visualization and analysis of live sensor data and public datasets.
Groups
Watch the Video
Prerna Ravi, a PhD candidate at MIT CSAIL, and John Masla, an Assessment Specialist at MIT STEP Lab, present at UNESCO Digital Learning Week 2024.
Related Publications
- Empowering Learners with a Low-Barrier Mobile Data Science Toolkit
Hanya Elhashemy, Robert Parks, David YJ Kim, Evan Patton, and Harold Abelson – 2024
This paper introduces a novel data science toolkit designed specifically for children, enabling them to create mobile apps integrated with data science capabilities.
- “Data comes from the real world”: A Constructionist Approach to Mainstreaming K12 Data Science Education
Ravi, Prerna; Parks, Robert; Masla, John; Abelson, Harold; Breazeal, Cynthia – 2024
This paper introduces a novel data science curriculum to scaffold middle and high school students in undertaking real-world data science practices.