xiaozhi-math-error-dna

Math error analysis categorizes mistakes across calculation, concepts, methods, and reading dimensions to identify root causes in algebra and number theory practice. It transforms scattered wrong answers into a persistent error-history for targeted interventions.

Tracking weak items requires a 4-step breakthrough process including pure-form trials and verification, coordinated with a universal error notebook. This generates monthly progress reports that visualize error patterns and topic mastery over time.

Learning DNA integration works with math error diagnostics by coordinating universal error notebooks and correction notebook data to output a structured error-type graph. This cross-skill coordination enables persistent, analyzable error-history tracking for individual students.

Yes, you can generate structured error-type graphs by analyzing common math mistake patterns across calculation, concepts, methods, and reading dimensions. The analysis applies to individual students' practice and outputs visual graphs for targeted interventions.

Yes, a correction notebook is required for math error analysis, along with Learning DNA integration. These components coordinate to track weak topics, apply the 4-step breakthrough process, and generate monthly progress reports across algebra and number theory.