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This project is creating a community software infrastructure, called LearnSphere, that supports sharing, analysis, and collaboration across the wide variety of educational data. LearnSphere supports researchers as they improve their understanding of human learning. It also helps course developers and instructors improve teaching and learning through data-driven course redesign. The goal is to transform learning science and engineering through a large, distributed data infrastructure, and develop the capacity for course developers, instructors, and learning engineers to make use of it.

Main PI: Ken Koedinger [Carnegie Mellon University] 
PI [Subcontract]: Philip Pavlik [University of Memphis]
Co-PI(s) [Memphis Subcontract]: Art Graesser, Zhiqiang Cai, Xiangen Hu & Vasile Rus
Grant Name: CIF-21 DIBBs: Building a Scalable Infrastructure for Data-Driven Discovery and Innovation in Education
Funding Agency: National Science Foundation
Dates: 2015-2019
Amount: $750,000 [Memphis allocation]