Project Type: Computational Ontology & Decision Support Framework Phase: I - Taxonomic Discovery & Primitive Mapping
isd-decision-architecture is an ongoing research initiative to map the "Decision DNA" of Instructional Systems Design (ISD). This project treats instructional design as a formal engineering discipline, decomposing high-level pedagogical theories into atomic decision primitives.
Instructional Design often suffers from "Expert Blindness"—where critical design decisions are made based on intuition rather than explicit logic. This project aims to externalize that intuition into a structured, machine-readable architecture.
The current primary artifact is a large-scale Knowledge Graph (1400+ nodes) capturing the raw dependencies of the ISD lifecycle.
Note for Reviewers: The visual complexity of the current graph represents the Discovery Phase. In systems science, we prioritize completeness of the data intake before pruning for hierarchy. This "messy" topography is the raw data from which our modular, streamlined frameworks (like the 8-day STSA implementation) are derived.
We use a Configuration-Audit approach to outcome engineering. By mapping the primitives first, we can ensure that every training intervention is:
- Atomic: Driven by a specific, isolated system constraint.
- Traceable: Linked back to a validated decision rule (DMN 1.6).
- Measurable: Validated through Evidence-Centered Design (ECD).
This repository functions as a Live-State Technical Lab. We believe that documenting the "messy" process of ontological discovery is as valuable as the final toolset, as it provides a transparent audit trail for the logic used in our more streamlined implementations.
Disclaimer: This repository contains only generic, sanitized instructional systems and examples. No classified, controlled, or proprietary materials are included.
All contents are licensed under CC BY-NC-SA 4.0. For inquiries regarding proprietary implementations or commercial use, please contact the repository owner.