decomposing-learning-objectives

What problem does it solve?

Decomposition of broad learning objectives into atomic, testable knowledge items using multiple taxonomies and ECD validation to support scalable assessment design.

Core Features & Use Cases

• Applies Bloom's Revised, SOLO, Marzano, Webb's DOK, Hess Cognitive Rigor Matrix, and Fink's Significant Learning lenses to each objective.
• Generates atomic, assessable knowledge items with source_objectives tracing and prerequisite/competence linkage for a KST-style knowledge graph.
• Use Case: Educational standards, course syllabi, and accreditation objectives can be decomposed to enable automatic assessment item generation and adaptive instruction planning.

Quick Start

Provide explicit learning objectives or supply an existing knowledge graph to merge new items into.