MIT STEP Lab Presents

RAICA-Responsible AI for Computational Action

Responsible AI for Computational Action: project-based modules about AI

Overview

The goal of the RAICA curriculum is computational action with artificial intelligence for late primary, middle and secondary students. In order for students to take computational action with AI, RAICA has designed lessons that provide opportunities for students to apply computational thinking and responsible design while growing their AI fluency. We approach all of our work with a constructionist pedagogy, a belief that students learn best by constructing their own knowledge and being creative. We use Universal Design for Learning (UDL) and the Technological, Pedagogical, and Content Knowledge (TPACK) frameworks to guide the design of RAICA’s materials to support student and teacher learning.

teachers
teacherstudents

Resources

Resources are still being piloted and not available to the public. Other K-12 AI resources can be found at raise.mit.edu

Research

 

book time

Project Specifics

Audience

Educators, administrators, students

Content Area

K-12, AI, artificial intelligence, large language models, natural language processing, affective computing, reinforcement learning, data science, image classification, facial landmarks and recognition, responsible design

Project Contact

Mary Cate Gustafson-Quiett (marycate@mit.edu)- project manager