Games+Learning+Society 10 Conference

Play data sandbox: Understanding learning from gameplay data
Facilitated by Matthew Berland, with representatives from Learning Games Play Data Consortium, Games+Learning+Society (University of Wisconsin–Madison), GlassLab, SURGE Lab (Vanderbilt University), Education Arcade (Massachusetts Institute of Technology)

The Learning Games Play Data Consortium (PDC) is developing a community around structuring and analyzing in-game play data. In this workshop, we will work with participants and introduce them to four core aspects of analyzing play data in games for learning:

 - Instrumenting games to collect information about play patterns
 - Generating research and design questions that can be answered using play data
 - Developing quantitative analyses and metrics for play data
 - Producing visualizations for discovering patterns in play data

The workshop will be an opportunity for participants to learn about the field of gameplay analytics, to see the latest tools for analyzing game data, and to interact with current leaders in learning analytics and educational data mining. We will also discuss new and emerging findings to give participants a sense of what is just becoming possible.

All participants are welcome, but this workshop is specifically targeted toward:
 - Learning scientists and educational researchers who want to understand how people learn in and with games
 - Game designers and developers interested in how people play and learn in and with their games
 - Game analytics researchers interested in new questions and methods