Simulations and Games Learning Analytics and Data Mining Workshop

Project Name:
Simulations and Games Learning Analytics and Data Mining Workshop

Organized by:
Bruce D. Homer, CUNY GC
Jan L. Plass, NYU
Ryan Baker, TC Columbia

Held April 4–5 at New York University, CREATE Lab

Agenda Participants | Breakout Group Task Description | Report [ TBA ]

Goals

The goal of the workshop is to convene researchers and practitioners in Learning Analytics and Educational Data Mining for educational simulations and games to discuss issues related to the collection and analysis of data generated during learning from these environments. The overall focus is to devise analysis methods for intensive data to enhance extensive data analysis (and  vice versa).

Specific topics discussed

  • Assessment mechanics–design of learning activities that produce meaningful data
  • Data Visualization Techniques for Multiple Data Streams
  • Analysis of multiple synchronized streams of continuous data
  • Data Mining for Behavior Modeling

Opening Talks Slides