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Webinar: The New Identity of Adaptive Math

October 17, 2016 @ 12:00 pm - 1:00 pm

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Ten years ago there were no educational products available for K-12 Math that were truly adaptive. Now just about everyone claims to be adaptive in some way. But what does it mean to be “adaptive”? How do these products work? And how do you evaluate which best fits your needs?

In this webinar, Nigel Green will examine the definitions for adaptive learning that are being proposed for use across the online learning community, and will review many of the technologies and approaches often used. Join us for a free webinar with edWeb and gain a better understanding of:

  • The many types of adaptation available
  • How different student actions and behaviors can inform an adaptive engine
  • How adaptive learning programs can be integrated into their blended learning models
  • Some of the possible futures of adaptive learning

Nigel will field questions from attendees during this live, interactive session. This webinar is designed for all educators interested in adaptive learning, including superintendents, district administrators, curriculum directors, and classroom teachers.


Nigel GreenNigel Green has extensive experience as both a teacher and software developer. Prior to moving to the United States in 1991 from his native Australia, Nigel was a K–8 educator and faculty member at the University of Melbourne. He has since worked at several startups, including spending eight years at Amazon.com. Nigel has designed many award-winning products and is the sole or joint inventor of more than 20 patents, and is responsible for much of DreamBox Learning’s effective Intelligent Adaptive technology. He currently oversees many areas at DreamBox that contribute to the user experience, from the Intelligent Adaptive engine to how lessons are designed and written to data mining. Nigel is a graduate of the University of Melbourne.

Details

Date:
October 17, 2016
Time:
12:00 pm - 1:00 pm
Event Tags:
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Website:
http://home.edweb.net/webinar/new-identity-adaptive-math/