From clustering to classification: mining code schemas for accurate identification of student solution strategies
SchemaNet is introduced, a high-accuracy supervised model that detects student solution strategies via multi-view features, especially code schemas extracted at sub-problem granularity by the proposed SchemaMiner framework, and validated on a newly constructed, manually annotated dataset of 1,612 Python solutions.