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Counterintuitive Principles & Better Learning, Part 1

  • 17 Jun 2021
  • 11:30 AM - 1:00 PM
  • Virtual - link provided with registration

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Counterintuitive Principles that Make for Better Learning: Part 1

This is Part 1 in a two-part series--join us for both! Register for each part individually. There is the option to join one or both sessions.

Suppose you ran a training program last year, and you made some changes. This year, learners report that they enjoy the experience more. But did you really improve the training? Maybe not. Intuition about how to manage learning often leads us astray. Come learn about counterintuitive principles of learning, and how to distinguish training that feels effective from training that really is effective.

Attending this two-session series, participants will:

  1. Get a peek at how your own brain works.
  2. Be better able to identify misguided intuition about how people learn.
  3. Discover how to create long-lasting learning for your trainees.

When: Thursday, 06/17/21, 11:30a-1:00p

  • 11:30a-12:00p - Networking
  • 12:00-12:50p - Presentation

Where: Virtual (link sent with registration)

About the Presenters

Charles J. Smith (Chief Research Officer and Co-Founder) has started five companies and one foundation. He is known for inventing the royalty-free model at Digital Stock Inc., later sold to Bill Gates, and the confidence-based learning model built into Amplifire. Charles organized the Amplifire Science Advisory Board and leads the efforts to move insights gleaned from cognitive science into the Amplifire algorithm. He is a board member of Nature and Culture International, which has conserved 20 million acres in tropical South America, a co-founder and a board member of the E.O. Wilson Biodiversity Foundation, and previously served on the Director’s Cabinet at Scripps Institution of Oceanography.

Matthew Jensen Hays, Ph.D. (VP of Research and Analytics) has over 20 years of experience analyzing and enhancing how people learn and remember. His Ph.D. in Cognitive Psychology (with a minor in Human-Computer Interaction) is from UCLA, where he worked with Drs. Elizabeth and Robert Bjork. He has conducted basic research on memory and learning, and has applied those and other findings to the design of training systems, intelligent tutors, multi-million-dollar simulators, and other educational experiences for civilian and military applications. His published articles have been cited hundreds of times and have been nominated for or won Best Paper awards at several conferences. In his role as Senior Director of Research and Analytics at Amplifire, Matt ensures that Amplifire is constantly improving in its ability to accelerate learning, impede forgetting, and diagnose users’ confidently held misinformation.

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