hkdse-subject-evaluation
CommunityEvaluate AI grading against ground truth.
Education & Research#education#evaluation#grading#statistical-analysis#ordinal-data#spearman#kendalltau
AuthorAKCqhzdy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill evaluates HKDSE elective subject AI grading results against ground truth levels (1–5), enabling rigorous accuracy assessment and report generation.
Core Features & Use Cases
- Ordinal evaluation: computes rank-based metrics (Spearman ρ, Kendall τ) to compare predicted levels with ground truth.
- Ground-truth alignment: supports multiple data sources (per-student results, final scores, and optional rubric level divisions) to compute exact and adjacent match rates.
- Comprehensive reports: generates visualization figures and DOCX evaluation reports across year scopes for subject-agnostic evaluation.
Quick Start
Execute the evaluation workflow for a given YEAR to compare grading outputs against the ground-truth mapping.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hkdse-subject-evaluation Download link: https://github.com/AKCqhzdy/dse-subject-grading/archive/main.zip#hkdse-subject-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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