Students participating in the Ready to Learn program, a math mentoring initiative using our personalized learning approach, demonstrated a doubling of learning gain compared to similar students not participating in the program. These results show promise that greater educational equity can be achieved at reasonable costs, combining human and AI-based tutoring.
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation - Artificial Intelligence in Education 2022
Tutors participating in our research-based lessons scored 20% better at posttest compared to pretest scenarios on how to best respond in common tutoring situations. Our brief lessons take tutors less than 15 minutes to complete but pack a powerful punch on assisting tutors with how to best respond to common tutoring situations.
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors - Learning Analytics & Knowledge Conference 2023