Extreme Learning Process

Mathematical Semantic Model (Extreme Learning Process)
Abstract Specification Context Given the power of Hyperlinked data infrastructure, learning processes must be continuously extended to utilize opportunities presented to users in their respective spatial/temporal contexts. Goal Create a self-aware process to enable learning. Success Criteria (Liveness) A highly available data system that can capture and measure the learning process data of relevant users. A set of learning assessment tools to reflect the conditions and quality of learning. A collection of intervention methods captured overtime, to document how to improve learning practices.
Concrete Implementation(s) Outputs Process Inputs Verified Page Collection DevSecOps Process Data PKC-based Non-Fungible Tokens A tensor-based representation of process. Personal Knowledge Container Team Constitution Internet Connection Wikipedia
Boundary Conditions of Extreme Learning Process/(Safety Conditions) See Extreme Learning Process 1.43

Some Content on this PKC

Link to Content	Category
Benkoo	XLP Person PKC SoG PKM
Challenge Design and Mission Execution	XLP
Convergence	XLP DevOps
Demonstration	XLP DevOps
Early Success	XLP DevOps
Extreme Learning Process 1.43	Pages with broken file links XLP Education Pedagogy Crowd Learning Gamification Constitution
Fail Early Fail Safe	XLP DevOps
PKC on Github	XLP DevOps
The Meta Process of XLP	Meta Process
Video/An Affordable Supercomputing Testbed based on Raspberry Pi	XLP Supercomputing Super Computer Raspberry Pi
Video/Raspberry Pi 3 Super Computing Cluster Part 1 - Hardware List and Assembly	XLP Supercomputing Super Computer Raspberry Pi
Video/Toyhouse TV Extreme Learning Process Exploring an Island v3 2	XLP