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Sae Schatz works at the intersection of human cognition and learning, technology, and data. From 2015 to 2022, she was the director of the Advanced Distributed Learning (ADL) Initiative, a government program for research, development, and policy stewardship. Before joining the civil service, Schatz worked as an applied human–systems scientist in both business and academia, and she formerly held an assistant professorship with the University of Central Florida’s Institute for Simulation and Training. Schatz is a prolific writer and professional presenter as well as a graphic designer who often uses those skills to enhance books, presentations, and infographics.

Sae Schatz

What did 2020 mean for your learners and the industry at large? What has changed in your day-to-day and the day-to-day for your learning audience?

A Level Set on Learning Innovations in a Diverse and Dispersed Environment

If your workplace played out as many people’s did in 2020, there were some bumps in the road to get learning content to your audience.

Building a Flexible Learning Ecosystem for Resiliency During Challenging Times

April 2020  - TD Magazine

Multiple Federal Initiatives Encompass Future of Work Efforts

March 2019 - TD Magazine

The Mentally Prepared Leader

April 2023 - TD Magazine

Plus other ways to build a technology-enabled learning ecosystem

Interconnect Learning Islands

CTDO Next June 2021 Member Meeting

Here are three steps organizations can take toward build a learning ecosystem.

Developing Talent Through the “Future Learning Ecosystem”


In this webinar, we'll discuss the takeaways from the recent ATD e-book Modernizing the Federal Workforce (available for free at td.org/book/modernizing-the-federal-workforce). This publication examines the current structure and state of learning and workforce development across the public sector as well as the future needed state of this important enterprise.
Key areas of focus include a review of the history of the L&D enterprise and modernized government workforce visions; developing a data highway to share personnel data; and how personnel will work within modernized workspaces, connect to industry, and develop policy.

Join us to learn and share as we explore the strategic vision laid out through this comprehensive review of current and future government human systems.
 
Primary Capability Covered: Future Readiness
Participation in this event, either live or viewing the recording, can be reported for one (1) professional development point toward initial certification eligibility or recertification of the APTD or CPTD credential. 
 

Modernizing the Federal Workforce

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:

about future trends, learning science and technology trends, and change drivers
about recommendations for evolving talent development enterprises for the future
how to take a data-driven approach to learning and development
how to improve your own learning and development offerings using research-based recommendations


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