2023-2024 Winner

CurioAI Learning Companion

A no-code interface software framework helping educators easily build high-quality, custom AI teaching assistants for their classes

United States of America
Track:
21st Century World

Prize Level:

Catalyst Prize

Project Description

Incorporating research and best practices in large language models and retrieval augmented generation, the CurioAI Learning Companion is a software framework with a no-code interface that helps educators easily build high-quality, custom AI teaching assistants for their classes. It works not only for lecture-based classes but also supports open-ended and project-based learning. In collaboration with the FabLearn Fellowship’s existing global network in 24 different countries, we are also establishing partnerships among researchers, educators, and engineers to help push forward the design and implementation of custom AI applications built with the CurioAI toolkit in various learning contexts.

Meet Our Team

Yipu Zheng

Founder & CEO, CurioAI

Paulo Blikstein

Associate Professor, Columbia University

Phase II of the 2025 Tools Competition is open. Proposals are due Jan 16, 2025.