More information at http://topps.tel
Aggregating Ambient Student Tracking Data for Assessment
David Topps1, Ellen Meiselman2, Rachel Ellaway1, Andrew Downes3
1 University of Calgary; 2 University of Michigan; 3 Rustici Software LLC
The Problem:• Assessments based on subjective factors• These factors influenced by many biases• Tracking data has needed expensive devices• Integrating systems was costly & difficult
Data Sources:• OpenLabyrinth internal metrics from cases• H5P widgets• YouTube video analytics• WordPress activity• Biometrics via Arduino
• Heart rate• Galvanic skin response
Conclusions:• Activity streams matter more than
learning objects• xAPI much more nimble than SCORM• Big data applied to personal learning =
PRECISION EDUCATION
Results:• Easy programming via xAPI libraries• Able to combine data streams in ways that
were not previously possible• Emergent, unanticipated patterns in data• Evidence of maladaptive learner behaviours• Simple visual feedback improves behaviours
H5P widgets within OpenLabyrinth platform and WordPress for easy capture of xAPI data
Blended Analytics:• Simple Reporting
From LRS and OpenLabyrinth tools
• Data visualizationsPathways, maps, graphs
• Path analysisMore useful than expected, for both iterative case improvements and tracking learner engagement or confusion!
Acknowledgments:• Corey Albersworth
Consultant on system design, data capture, analytics• Funding support from O’Brien Institute of Public Health• Medbiquitous Learning Experience Working Group
Left: OpenLabyrinth internal pathway analysis
Above: GrassBlade LRS graph showing current activities
Software development led by OpenLabyrinth Development Consortium
http://openlabyrinth.ca
Above: GSR graph showing variation during case play
Devices to extend OpenLabyrinth platform to support data capture via xAPI – galvanic skin response – heart rate
The Approach:• Data capture from variety of sources• Experience API (TinCan) for easy blending• OpenLabyrinth & WordPress
• for content integration• GrassBlade Learning Records Store (LRS)
• For data stream integration