jstamper@cs.cmu.edu
Newell-Simon Hall 2602D
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Artificial Intelligence (AI)
Crowdsourcing
Data Visualization
Education
Intelligent Tutoring Systems
Learning Sciences and Technologies
Nicholas Diana
Steven Moore
Huy Anh Nguyen
Christine Kwon
Darren (Ren) Butler
Marshall An
Yumou (James) Wei
Jo Bodnar
CMU experts turn everyday educators into data scientists Teachers and administrators have access to more data on how their students...
Carnegie Mellon University learning science researchers John Stamper, Norman Bier and
Digital Learning Challenge seeks to improve learning outcomes with effective tools Carnegie Mellon University learning science re...
With access to some of the best digital tools and learning systems ever seen, it's a wonder that there is currently no easy way for ...
LearnSphere is a community data infrastructure to support learning improvement online. It integrates educational data and analysis repositori...
Computational Modeling and Data Mining is one of four thrusts within the Pittsburgh Science of Learning Center. This thrust is pursuing the sc...
This research aims to improve student learning effectiveness, efficiency, and enjoyment in online courses (aka MOOCs) by using online learning...
The Pittsburgh Science of Learning Center is leveraging computational theory and cognitive modeling to identify the instructional conditions t...