Future Learning in an Advanced Decentralized Learning Ecosystem
Individual Training and Education (IT&E) Symposium, Canadian Armed Forces, Canadian Forces Base Borden, Keynote, May 10, 2019.
The U.S. Advanced Distributed Learning Initiative (ADL) has historically emphasized interoperability in decentralized learning ecosystems, supporting such things as the Personal Assistant for Learning (PAL) and Open Social Learning Models (OSLM). Similar challenges are being faced in the wider internet community. Developers have responded with new approaches supporting decentralized networks, such as open social applications (for example, micropub), distributed ledger technology (for example, blockchain), and cloud container networks. These will support new learning application such as virtual reality, artificial intelligence, and personal assistants. This presentation will provide an overview of this emerging infrastructure, describe key points of contact with training and development services, and outline the impact on future learning programs and systems.
The U.S. Advanced Distributed Learning Initiative (ADL) has historically emphasized interoperability in decentralized learning ecosystems, supporting such things as the Personal Assistant for Learning (PAL) and Open Social Learning Models (OSLM). Similar challenges are being faced in the wider internet community. Developers have responded with new approaches supporting decentralized networks, such as open social applications (for example, micropub), distributed ledger technology (for example, blockchain), and cloud container networks. These will support new learning application such as virtual reality, artificial intelligence, and personal assistants. This presentation will provide an overview of this emerging infrastructure, describe key points of contact with training and development services, and outline the impact on future learning programs and systems.
Stephen Downes, Casselman, Canada
stephen@downes.ca
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Last Updated: Nov 22, 2024 10:03 a.m.
Last Updated: Nov 22, 2024 10:03 a.m.
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