Sharing and reusing data and analytic methods with LearnSphere
This tutorial will explore LearnSphere, an NSF-funded, community-based repository that facilitates sharing of educational data and analytic methods. The tutorial organizers will discuss the unique research benefits that LearnSphere affords. We will focus on Tigris, a workflow tool within LearnSphere that helps researchers share analytic methods and computational models. Attendees will integrate their analytic methods or models into LearnSphere's Tigris in advance of the tutorial, and these methods will be made accessible to all tutorial attendees. We will learn about these different analytic methods during the tutorial and spend hands-on time applying them to a variety of educational datasets available in LearnSphere's DataShop. Finally, we will discuss the bottlenecks that remain, and brainstorm potential solutions, in openly sharing analytic methods through a central infrastructure like LearnSphere. Our goal is to create the building blocks to allow groups of researchers to integrate their data with other researchers to advance the learning sciences as harnessing and sharing big data has done for other fields.
EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining
Koedinger, K., Stamper, J., Carvalho, P., Pavlik, P., & Eglington, L. (2019). Sharing and reusing data and analytic methods with LearnSphere. EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining, 773-774. Retrieved from https://digitalcommons.memphis.edu/facpubs/8588