Automated grouping identifies similar student responses and clusters them together to enable batch grading. This feature can:
- Group identical or near-identical answers
- Cluster responses with similar reasoning approaches
- Identify common misconceptions or error patterns
- Sort responses by length or complexity
- Group related diagrams or mathematical notations
While particularly effective for structured responses like choice questions or short numerical answers, grouping more complex university-level responses remains challenging. The effectiveness depends on the sophistication of similarity analysis algorithms and the nature of the responses being grouped.