xiaozhi-teach-math-error-analyzer

Name: xiaozhi-teach-math-error-analyzer
Availability: InStock
Author: qizhitang

Classifies student errors into seven categories and links them to a knowledge graph.

81|21|Updated Apr 25, 2026

Search Tags:#knowledge-graph #error-analysis #classroom-analytics #student-errors #teaching-interventions #class-portraits

Ready to run

npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-teach-math-error-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xiaozhi-teach-math-error-analyzer
Source: https://github.com/qizhitang/xiaozhi-skills/tree/main/teacher/math/xiaozhi-teach-math-error-analyzer
Command: npx skills add https://github.com/qizhitang/xiaozhi-skills --skill xiaozhi-teach-math-error-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps math teachers turn student error data into structured, actionable insights that drive targeted instruction and improved class-wide outcomes.

Core Features & Use Cases

Class-wide error collection from homework, quizzes, and tests to identify common misconceptions.
7-category error classification, root-cause tracing, and knowledge-graph linkage to robustly map errors to concepts.
Dual portraits: 班级共性画像 and 学员个体画像 with actionable teaching interventions.

Quick Start

Diagnose the class by uploading the latest assessment results to generate a class-error report and a ready-to-use intervention plan.

Frequently Asked Questions about xiaozhi-teach-math-error-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze student math errors to identify common class-wide misconceptions?▼

To analyze student math errors, you aggregate error data from assessments, homework, and in-class activities to consolidate class-wide error patterns and reveal common misconceptions for targeted instruction.

What is the best way to link student errors to a math knowledge graph for teaching interventions?▼

Linking student errors to a knowledge graph involves applying a seven-factor error classification to trace root causes, mapping errors to specific concepts, and generating actionable teaching interventions.

Can I generate class portraits and individual student profiles from homework and quiz data?▼

Yes, you can generate dual portraits from homework and quiz data by consolidating class-wide共性 portraits and individual student profiles to inform your teaching decisions.

How do I create a targeted teaching intervention plan from assessment results?▼

You create a targeted teaching intervention plan by collecting assessment results, classifying errors into seven categories, tracing root causes via knowledge-graph linkage, and applying the generated recommendations.