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Proceedings Paper

Distributed autonomous learning framework
Author(s): Kyler Harrington
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Paper Abstract

A distributed autonomous learning framework was developed by DAX LLC (Distributed Autonomous Everything) with the goal of revolutionizing what is known as the “eLearning Industry”. Although some online platforms share DAX’s vision for disrupting, democratizing, and improving accessibility to the online educational ecosystem, they do not offer the same level of security, adaptability, and appeal to the emerging computing technologies community as DAX. DAX’s learning framework is built upon its own private blockchain with user-guided adaptation through a suite of distributed applications. This sophisticated architecture serves to protect the student’s identity, provides verifiability of trust of historical records, and provides transparency of achievement for a given student encryption key. The inherent security of the private blockchain ensures computer hackers (or nefarious students) aren’t poisoning or “gaming” the system. The world is rapidly evolving and internet access creates a changing landscape for traditional education systems. DAX recognizes the need for educational systems to evolve beyond being solely centers of knowledge to becoming the enablers of information sharing and immersive learning. The distributed autonomous classroom concept presented herein is a novel eLearning concept designed to continue to evolve to meet the ever-changing demands of the globally connected, technologically savvy, student of tomorrow.

Paper Details

Date Published: 15 July 2019
PDF: 11 pages
Proc. SPIE 11013, Disruptive Technologies in Information Sciences II, 110130M (15 July 2019); doi: 10.1117/12.2519963
Show Author Affiliations
Kyler Harrington, DAX LLC (United States)


Published in SPIE Proceedings Vol. 11013:
Disruptive Technologies in Information Sciences II
Misty Blowers; Russell D. Hall; Venkateswara R. Dasari, Editor(s)

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