Workshop: Community Based Educational Data Repositories and Analysis Tools

Tuesday, March 14, 2017 (Full-Day Workshop) at LAK 2017 in Vancouver, BC, Canada


Kenneth Koedinger, Carnegie Mellon University
Ran Liu, Carnegie Mellon University
John Stamper, Carnegie Mellon University
Candace Thille, Stanford University
Philip Pavlik, University of Memphis
Una-May O'Reilly, MIT

Please take this pre-workshop survey.

Workflow How-To Videos

LearnSphere Workflow Tools: Overview

BKT Analysis using LearnSphere Workflows

Creating new workflow components


Contact Ran Liu: ranliu AT cmu DOT edu

This workshop will explore community based repositories for educational data and analytic tools that are used to connect researchers and reduce the barriers to data sharing. Leading innovators in the field, as well as attendees, will identify and report on bottlenecks that remain toward our goal of a unified repository. We will discuss these as well as possible solutions. We will present LearnSphere, an NSF funded system that supports collaborating on and sharing a wide variety of educational data, learning analytics methods, and visualizations while maintaining confidentiality.

We will then have hands-on sessions in which attendees have the opportunity to apply existing learning analytics workflows to their choice of educational datasets in the repository (using LearnShere's simple drag-and-drop interface), add their own learning analytics workflows (requires very basic coding experience), or both. Leaders and attendees will then jointly discuss the unique benefits as well as the limitations of these solutions. Our goal is to create building blocks to allow researchers to integrate their data and analysis methods with others, in order to advance the future of learning science.

8:30  Introductions
9:00  LearnSphere overview & high-level discussion I
10:00  Coffee Break
10:30  Tigris workflow tool (Lecture & Demos)
11:15  Hands-on I: Build custom analysis workflows using existing Tigris components
12:30  Lunch Break
1:30p  How to upload your own data and apply custom workflows to it (Lecture)
2:00p  How to build your own workflow component (Lecture)
2:30p  Coffee Break
2:45p  Hands-on II: 2 breakout sessions (upload your own data; create workflow components)
4:15p  High-level discussion II
4:45p  Closing