The Leverage Approach: Designing Virtual Performance Spaces for Data Collection, Analysis and Adaptive Applications

نویسندگان

  • Peter Jakl
  • David Gibson
چکیده

Leverage is a highly scalable “big data” platform for acquiring granular data based on a user’s interaction with any digital application. Whether the virtual experience of the application is an adaptive learning program, a game, a simulation, or an informational web site, Leverage applies the power and scale of cloud computing to create meaning from user data via high-resolution data capture, automated analyses and responsive deployment of digital resources. Beyond the statistical meaning of data in traditional educational contexts, Leverage has advanced tools to make behavioral, personality and learning style inferences an integral part of finding meaning from the values of attributes in virtual performance data. Leverage-powered adaptive assessment engines are driven by a scripting language that can draw immediate conclusions about any attribute using the user’s full path of previous activity while also making correlations to a segmented population – ALL in real-time.

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تاریخ انتشار 2013