Reproducibility and Replication of Analytic Methods with LearnSphere

Abstract

This workshop will explore the reproducibility and replication of research and analytics in the EDM field through LearnSphere, an NSF-funded, community-based repository that facilitates sharing of educational data and analytic methods. The workshop 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. Authors of accepted workshop papers will integrate their analytic methods or models into LearnSphere’s Tigris in advance of the workshop, and these methods will be made accessible to all workshop attendees. We will learn about these different analytic methods during the workshop 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.

Publication Title

Proceedings of the 13th International Conference on Educational Data Mining Edm 2020

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