Announcing the winners of the 2025 Tools Competition!

2024-2025 Winner

Learner Profile for Personalized Learning

Collecting data to understand how LLMs can create nuanced learner profiles for personalized education

Canada

Focus Area:

Dataset Prize

Prize Level:

Catalyst Prize

Project Description

Factors Education is developing a unique dataset to bridge the gap in personalized learning. By capturing authentic, longitudinal LLM interactions from diverse student populations (468 students, 26 classrooms, 1,400+ interaction hours), we aim to understand how AI can effectively model individual student characteristics. Our work focuses on creating structured learner profiles from these interactions to enable the development of more equitable and effective adaptive learning systems. This dataset will serve as a critical benchmark for evaluating LLM performance in nuanced learner modeling within real-world educational settings.

Meet Our Team

Aman Sahota

Co-Founder

Henry Fu

Co-Founder