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. Bite-sized pieces of content, while valuable in their own right, become exponentially more powerful when combined into a fluid ecosystem that is backed and synchronized by data.
In this webcast, learn how you can unlock performance and drive training return on investment through adaptive learning technology. You’ll be able to:
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Christina Yu works for McGraw-Hill Education Learning Science Platforms, a venture 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, and worked at the edtech startup Knewton and as a professor of English at Kean University and Southern Connecticut State University.
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 BS from the United States Naval Academy and a MBA from the Darden School of Business, University of Virginia.
