student-knowledge-profiling

What problem does it solve?

This skill translates raw score data into structured, per-knowledge-point mastery profiles for each student, enabling targeted interventions and personalized learning plans. It supports multiple score formats (total score, section scores, or per-question scores) and outputs machine-friendly CSV reports plus class-level visualizations to help teachers and administrators understand learning gaps.

Core Features & Use Cases

• Multi-format mastery estimation: Works with total-score, section-based, or item-level results to compute per-knowledge-point mastery.
• Confidence intervals and risk indices: Attaches uncertainty measures and a prioritization score to guide interventions.
• Class-level insights: Generates heatmaps and trend profiles across exams to monitor class progress and identify systemic weaknesses.
• Data-quality notes: Provides transparency about data quality and methodological assumptions for different input formats.

Quick Start

Provide the student score data (and optional question-tagging metadata) and run the skill to generate per-student knowledge profiles.