Playtime Online: First Look: Digging into Data with SimCityEDU
About This Episode
The countdown has begun! We’re just weeks away from the general release of SimCityEDU: Pollution Challenge! — a new game-based learning and assessment tool for middle school students, created by GlassLab.
To date, more than 3,000 students across the U.S. have played SimCityEDU: Pollution Challenge! in our alpha and beta tests, creating a stream of data that our researchers have been busy analyzing, looking at patterns of game play for evidence of student learning.
Join GlassLab’s assessment team on Thursday, October 24 at 12pm Eastern for a preview of what the data mining has turned up.
For those interested in how games and telemetry can be used to assess 21st Century skills, this episode will explore in depth how we’re using the data to assess systems thinking. Viewers will have a chance to ask Playtime participants questions during the live broadcast.
Tune in to Playtime Online to learn:
- How we use game log data to uncover evidence
- What we’re learning from the SimCityEDU data
- What happens next!
Kristen DiCerbo, Ph.D.
Kristen is an Assessment Data Scientist at GlassLab and Senior Research Scientist at Pearson. She is a researches and writes about communicating complex information to teachers.
Shonté is a Visiting Assessment Fellow at GlassLab, helping describe pathways and patterns in student learning through use of gameplay data and a variety of analytic techniques that include Bayesian networks and data mining.
Mat is the Producer at Institute of Play. He works with the team to define the processes and structures that commercial game companies and learning experts can use to adapt GlassLab's unique collaborative