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Fall Webinar Series - Road Map to xAPI

  • 13 Sep 2017
  • 7:00 PM - 8:00 PM
  • Online - link will be emailed upon registration


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In this webinar, you'll walk away with an understanding of the different components of an xAPI-powered experience data ecosystem. You'll then see examples of Learning Record Store data dashboards from the perspectives of different stakeholders from across the organization including individual learners, instructors, and team managers. With this info, you'll be able to start forming a strategy for your organization's adoption of xAPI.

Throughout the webinar you will learn about:

  • How xAPI works
  • What a Learning Record Store does
  • How to use xAPI to collect data from disparate sources
  • How xAPI can be used for learning and performance tracking
  • Hands-on access to the Yet Analytics LRS Demo

Session brought to you by:

Margaret Roth is the Chief Customer Experience Officer and Co-Founder of Yet Analytics, a human capital analytics company that builds the world's most visual xAPI Learning Record Store. She is most interested in the development and design of connected learning environments. Her background is in experiential learning, literary study, and team development. She is the VP of Community Impact for the Junior League of Baltimore, a member of the SXSWedu Launch Advisory Board, co-founder of EdTechWomen, a die-hard Blue Jay Lacrosse fan, and her favorite science-fiction novel is Neuromancer by William Gibson.

Allie Tscheulin is the VP of Business Development at Yet Analytics, headquartered in Baltimore, Maryland. It is her personal mission to demystify the Experience API (xAPI) for professionals so that she can help organizations get the most from their learning initiatives. Allie works with organizations to design, develop and execute learning and performance analytics to better employees and learners alike. With a background in Art History, Allie also volunteers at several Baltimore art museums; she loves spending time with her dog Bernie and likes to travel as much as possible.

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