The Business Case for Adaptive Learning: Drive ROI and Unlock Performance

Date: Tuesday, April 24, 2018

Time: 2:00 PM EDT

Duration: 60-minutes

The future of corporate learning is adaptive. Behavioral and performance data can be used to optimize every single moment in a learning experience, delivering the most efficient and effective training possible. This webinar will provide learning and HR leaders with the framework for making an investment decision in the adaptive learning landscape. Participants will develop a pragmatic understanding of the technology and understand how to benchmark different platforms, calculate ROI, and sell their investment decision forward to other stakeholders.

In this webcast, learn how you can unlock performance and drive training ROI through adaptive learning technology. You’ll be able to: 

  • Recognize key trends in technology that allow learning to become modular, data-driven, and adaptive
  • Grasp learning theories concerning focus, memory, metacognition, and engagement and how they can be used to unlock performance through adaptive technology
  • Explore how to leverage the benefits of adaptive technology to drive top-line growth and bottom-line results

Sponsored by:




   Geoff Broderick
   VP, Learning Science Platforms

   McGraw-Hill Education

Geoff Broderick represents Learning Science Platforms, a division of McGraw-Hill Education. Geoff leads efforts that help firms transform their corporate learning and unlock the full potential of every learner by leveraging learning technologies that combine adaptive artificial intelligence with learning theory. Geoff is a global GM, most recently leading Asia operations for J.D. Power from Shanghai, China where he directed the launch of digital adaptive learning systems. He holds a B.S. from the United States Naval Academy and a MBA from the Darden School of Business, University of Virginia.


   Christina Yu
Head of Marketing, Learning Science Platforms

   McGraw-Hill Education

Christina Yu works for McGraw-Hill Education Learning Science Platforms, a division that applies artificial intelligence to learning through adaptive technology. The platforms transform content into dynamically personalized learning experiences. The technology is based on educational theory and cognitive science that explores intuitive design, metacognition, memory, and the personalized delivery of concepts. Christina holds an A.B in English and Creative Writing from Dartmouth College and is completing her MBA at the NYU Stern School of Business. Prior to her current role, she managed a portfolio of higher-ed adaptive products, worked at the edtech startup Knewton and as a professor of English at Kean University and Southern Connecticut State University.