We study how people learn through practice, and build that science into adaptive learning technology tested at scale — from K-12 and college classrooms to rural Uganda.
Human-Computer Interaction Institute · Carnegie Mellon University
We examine how learners infer abstract rules, regulate their learning, and retain knowledge over time — focusing on practice-based approaches rather than passive instruction.
We develop computational models of learning and AI-driven systems that customize instruction, combining learning science, data analytics, and human-centered design to personalize experiences at scale.
We translate research findings into classroom interventions and learning technologies that work across different institutions, languages, and cultural environments.
Jordan Gutterman, Michael Sutton, Canwen Wang, Tingyue Cue, Ryan Nuqui, Pragati Maheshwary
Annie Chen, Sophia Mou, Katherine Geng, Rebecca Sucgang, Nikhil Konkimalla, Maddie Ng, James Ryman
Helen Peng, Aditi Agni, Dora Chen, Ekin Ozince, Hannah Hayes, Vivianne Lee, Jarret Huang, Sage Rohrbach, Xinfei Cen
Isha Patel, Jiwoo You, Annie Wang, Emily Jiang
Charlotte Ku, Mariam Syed
Calvin Macatantan, Maylynn Rodriguez, Jacob Tjaden, Joyce Gill, Lin Shi
Julia Fang, Kristina Jenkins
A tool to monitor and record user interactions within short-response questions in a Qualtrics survey, used to evaluate typing patterns and identify potential copy/paste activity in behavioral research.
Start of semester lunch: Fall 2026!
Congratulations Dr. Conti!
The lab at CogSci 2026!
The lab at the Festival of Learning 2026!
The lab at CHI 2026!
End of semester lunch: Spring 2026!
Lab photo Spring 2026!
The lab at Psychonomics 2025!
Summer 2025 New Lab Space!
Hanging with our 2025REUs
The lab at CogSci 2025!
The lab at EDM 2025 and L@S 2025!
The lab at Psychonomics 2024!
We are always looking for motivated students and collaborators.
If you are a prospective student or recent graduate interested in joining the lab, please fill out our application form. Prospective PhD students should apply through the HCII PhD program.
Our lab manual describes our philosophy, procedures, and expectations.
Human-Computer Interaction Institute · School of Computer Science
Carnegie Mellon University · Pittsburgh, PA