Mathematical taxonomy
Canonical topics, aliases, course placement, prerequisites, related concepts, and future-topic links.
eSpyMath studies mathematical structure, problem patterns, difficulty, learning relationships, and content quality so the Question Configurator can produce more useful and dependable practice.
Canonical topics, aliases, course placement, prerequisites, related concepts, and future-topic links.
Reusable mathematical structures that separate deep problem logic from superficial parameter changes.
Reasoning depth, representations, constraints, special cases, parameter complexity, and method selection.
Validation of answers, distractors, restrictions, diagrams, and step-by-step reasoning.
Connections among prerequisites, representations, related concepts, recovery paths, and next topics.
Reusable authoring and printable-output workflows for structured mathematical knowledge.
Experimental systems used to investigate knowledge, patterns, authoring, and quality workflows.
Topic search, mapped references, examples, practice, and learning paths.
Open prototype → Knowledge modelFormula, definition, topic, and reinforced-subtopic organization.
Open prototype →Pattern extraction, normalization, deduplication, validation, and future certification.
Research layerStructured course/topic data transformed into printable topic materials.
Open prototype → Math authoringEditable HTML, LaTeX formulas, images, and workbook/PDF output.
Open prototype → Internal QACatalog and canonical-mapping review before data enters production systems.
Open workbench →