SRAM 2017 - Workshop on Sharing & Reusing Analytic Methods with LearnSphere

This workshop will explore LearnSphere, an NSF-funded, community-based
repository that facilitates sharing of educational data and analytic
methods. The ultimate goal is to create the building blocks to allow groups
of researchers to integrate their data with other researchers in order to
advance the learning sciences as harnessing and sharing big data has done
for other fields.
In the workshop, 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
workshop attendees will have drag-and-drop access to these analytic methods
through Tigris. 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. Attendees can also bring their own datasets to the workshop. Finally, we will discuss the
bottlenecks that remain, and brainstorm potential solutions, in openly
sharing analytic methods through a central infrastructure like LearnSphere.
*Submission Information. *We invite submissions of short papers that
describe analytic methods that authors are willing to share within
LearnSphere's Tigris workflow tool. Papers should be 2-4 pages long and
describe the inputs, algorithm/model, and outputs of the proposed analytic
method. They can include analytic methods that have previously been
published on. The goal of this paper is to describe the mechanisms in
enough detail that we can integrate the code into Tigris. *The deadline for
all workshop paper submissions is May 1, 2017. *More details to be found on
the workshop website http://learnsphere.org/EDM_AIED_2017.htm