2023-2024 Winner

ReSource

Enabling A/B testing of AI and digital learning experiences

United States of America, India
Track:
Learning Science Research

Prize Level:

Catalyst Prize

Project Description

ReSource is a tool that enables educators and researchers to conduct A/B testing of AI and digital learning experiences. It streamlines the process of creating and deploying simple field trials that present students with alternative learning content and measure its effectiveness. The tool generates links and embeddable content featuring randomized AI learning experiences or instructional materials such as videos or interactive content, along with pre- and post-test assessments to evaluate the efficacy of different conditions. By simplifying the integration of A/B testing into digital learning workflows, ReSource allows for rapid evaluation and enhancement of instructional approaches.

Meet Our Team

Derek Lomas

Professor, Delft University of Technology

Nirmal Patel

Chief Data Scientist, Playpower Labs

The 2025 Tools Competition is open for submissions! Submit by Oct 25.