Aggregating Ambient Student Tracking Data for Assessment

More information at http://topps.tel Aggregating Ambient Student Tracking Data for Assessment David Topps 1 , Ellen Meiselman 2 , Rachel Ellaway 1 , Andrew Downes 3 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 visualizations Pathways, maps, graphs • Path analysis More 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

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Transcript of Aggregating Ambient Student Tracking Data for Assessment

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

http://topps.tel/

http://openlabyrinth.ca/