exam-kp-analysis

To generate a visual exam analysis report, you need to combine student score sheets with knowledge-point statistics and knowledge-graph triples. The system synthesizes this data to produce a single-file HTML report containing bar charts, radar charts, and bubble charts for classroom analytics.

Mapping exam scores to a knowledge graph requires four specific CSV inputs: a scores sheet, knowledge_point_statistics.csv, student_summary_profile.csv, and knowledge_graph_triples.csv. These inputs integrate exam results with Bloom cognitive levels and section mastery data.

Yes, you can visualize Bloom cognitive levels and chapter mastery together in a single student performance report. The system integrates these dimensions alongside knowledge-point statistics and student portraits to deliver a comprehensive, visually driven HTML report.

The best way to analyze knowledge-point statistics and student profiles for classroom review is to cross-reference them with knowledge-graph relationships. This approach generates actionable teaching-path recommendations and detailed student portraits within a visualization-packed HTML report.

Exam knowledge-point analysis requires knowledge_graph_triples.csv to function correctly, as this data drives the teaching-path recommendations. While other complementary inputs can adjust analysis depth, the core knowledge graph triples are essential for generating the full visual report.