2022-2023 Winner

QuickTA

Providing just-in-time, high quality support for students using LLMs

United States of America, Canada
Track:
Adult Learning
Award Level:
Transform Award

Project Description

QuickTA is a LLM-based tool to support students in classroom or self-directed learning. In contrast to many emerging tools, relying solely on LLM mechanisms for finding knowledge and ensuring retrieval, QuickTA brings together high quality educational content, Reinforcement Learning adaptive algorithms and Intelligent Tutoring Systems to ensure that each student gets just-in-time support on the level they need: from hint to reflection prompt, from activating connection to previous knowledge to motivational support. In this project, TutorGen Inc works on bringing University of Toronto research behind QuickTA and Carnegie Mellon University expertise in AI systems for education to thousands of learners on Open Learning Initiative and other platforms.

Meet Our Team

John Stamper

CEO & Founder, TutorGen, Inc.

Harsh Kumar

PhD Student, University of Toronto

Norman Bier

Director, Open Learning Initiative, Carnegie Mellon University

Meet the finalists for the Building an Adaptive & Competitive Workforce track here. Meet the finalists for all other tracks here.