Significant technological progress combined with an increased understanding of human performance are changing how we approach learning and talent development. These advancements have helped us realize the promise of “anytime, anywhere” learning as well as learning personalized to individual needs. The ADL Initiative, a U.S. Government research program, has recently completed a multi-year study on the future of learning, and developed an implementation blueprint for connecting lifelong learning experiences across time, location, purpose, and context. This co-created plan responds to external demands, such as the pace of global change and increased need for technical expertise, and it simultaneously considers emerging capabilities, including advancements in AI and neuroscience. The resulting concept, referred to as the “future learning ecosystem,” promises to substantively change the way we learn, moving away from old models of disconnected, disjointed experiences to a connected continuum of lifelong learning, personalized, driven by data, and delivered across diverse locations, media, and periods of time. How do we harness this new power to modernize learning as we know it?
In this webcast, we will discuss the rationale and influences driving this radical shift in learning from external demands, such as the pace of global change and increased need for technical expertise, to the promise offered by emerging capabilities, including advancements in AI and neuroscience. You will learn about the relevant strategic goals and corresponding case studies from business, academia, and government, and discuss specific steps needed in technology, learning science, policy, organizational dynamics, and other supporting structures to realize this vision. Finally, you will take away several practical actions to leverage these advancements to modernize your own learning and development systems—whether in the K-12, industry, academia, and/or government sectors.
In sum, you will learn:
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Sae Schatz, Ph.D., serves as the Director of the Advanced Distributed Learning (ADL) Initiative, a research and development program under the Deputy Assistant Secretary of Defense for Force Education and Training. Before joining the Government in 2015, Sae worked as an applied human–systems scientist, with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modeling and simulation. During that time, she led the authorship and execution of the Marine Corps’ Making Good Instructor Great course and accompanying instructor tool kit. She was also the chief scientist for the award-winning Border Hunter research effort and the Joint Staff J7’s Blended Learning–Training project.
Sae has worked with the Defense training and education community for over 10 years. During that time her efforts frequently focused on ways to enhance individuals’ higher-order cognitive skills (i.e., the mental, emotional, and relational skills associated with “cognitive readiness”). She has authored more than 50 peer-reviewed scholarly publications, led development of 3 military textbooks, and received professional recognition for her publications and research, including best paper awards from the I/ITSEC and MODSIM conferences.
Sae also maintains close ties with her alma mater, the University of Central Florida. She formerly held an assistant professor position with the university, and she previously taught courses in visual design, web design and development, modeling and simulation, and human–systems interaction. Today, she continues to mentor UCF graduate students from the Institute for Simulation and Training, and she serves on the Digital Media Advisory Board.
