xiaozhi-correction-notebook

Analyzing recurring mistakes from an error notebook requires identifying and categorizing error patterns to reveal root causes. The system applies four-dimensional error tagging to structured inputs to pinpoint underlying weaknesses.

Four-dimensional error tagging for learning DNA is a structured classification method that categorizes student mistakes across multiple dimensions. It enforces deterministic workflows to locate root causes and generate targeted error analyses.

Generating targeted practice sets and progress reports from mistake patterns involves tracking cross-subject errors and applying specialized analysis. The system coordinates with sub-skills to produce personalized practice sets and weekly reviews.

Tracking cross-subject mistakes for physics and math using one error notebook is supported through coordinated deep-dive analysis. The system integrates with math and physics error DNA sub-skills to enable cross-subject tracking and weak-point warnings.

The mistake notebook system requires structured inputs to support deterministic workflows and enforce four-dimensional error tagging. Submitting a photo of a recent incorrect problem with a brief description of whether the answer was viewed is enough to start.

A limitation of automated error analysis for study planning is its reliance on structured inputs and predefined four-dimensional tagging. Users must provide consistent mistake descriptions to ensure accurate root-cause pattern identification and valid progress reports.