Situation
In today's rapidly evolving landscape of education, research, and knowledge work, individuals and organizations face significant challenges in effectively navigating and acquiring new competencies. The current approaches to learning and skill development often lack structure and coherence, or rely on passive retention, leading to inefficient "wandering" through topics without clear direction or walking in circles around content not fully integrated. Traditional educational resources and training materials frequently fail to adapt to individual learning paths and prerequisites, existing knowledge management systems struggle to capture the complex interconnections between different domains of expertise, and proposed AI-based learning management systems present a paradox: Effective use of natural language AI is predicated on the ability to assess the soundness of results, while learners are defined as such precisely because they lack the domain expertise necessary to do so.
These are resolvable barriers to effective learning, collaboration, and organizational knowledge sharing and development - and need to be resolved to meet the increasing demand for continuous learning in the age of AI and rapid technological change.
Mission
Our mission is to catalyze and coordinate the design, specification, and demonstrative implementation of a generative knowledge management system which reduces uncertainty in navigating knowledge and paths to development of knowledge in research, education, documentation, professionalization, and organizational contexts.
Approach
To address these challenges, we propose an open, extensible framework for mapping and navigating knowledge prerequisites and competencies across domains. This framework would provide a structured approach to representing and dynamically connecting different areas of knowledge, skills, and capabilities, enabling the creation of personalized learning pathways. By leveraging skill trees and capability maps, the framework is intended to provide a foundation for the (i) procedural generation of tailored learning materials and curricula, (ii) accommodation of diverse learning styles and needs, (iii) creating deeper connection among capabilities, credentials, and context, and (iv) generating standardized assessment and certification at point of need. The system's architecture emphasizes interoperability and extensibility, allowing organizations and communities to build upon and customize the framework for their specific contexts while maintaining consistency and coherence in knowledge representation.
This framework will use as a basis for development of underlying architecture, and will be developed into a proof of concept demonstration which will be leveraged to explore pathways to full development and implementation.
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Disclaimer
Authorship or other forms of contribution under a COGSEC program does not necessarily represent or constitute (i) an endorsement of any other hosted materials, (ii) a formal affiliation with any associated organizations or communities or COGSEC itself, or (iii) contact or association with any other contributor or author, even where they are marked as contributors or authors on the same materials.