Distributed autonomous learning framework

Kyler Harrington

doi:10.1117/12.2519963

15 July 2019 Distributed autonomous learning framework

Kyler Harrington

Proceedings Volume 11013, Disruptive Technologies in Information Sciences II; 110130M (2019) https://doi.org/10.1117/12.2519963
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Citation Download Citation

Kyler Harrington "Distributed autonomous learning framework", Proc. SPIE 11013, Disruptive Technologies in Information Sciences II, 110130M (15 July 2019); https://doi.org/10.1117/12.2519963

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