Keyword extraction uses natural language processing to identify key terms, concepts, and phrases from student responses. This foundational feature supports multiple aspects of automated assessment: it enables automated grading suggestions by matching identified keywords against rubric criteria, facilitates automated grouping of similar answers, and enhances text similarity analysis by focusing on conceptually important terms. The effectiveness depends on both the quality of text recognition and the domain-specific vocabulary being correctly identified.
Prerequisites
- Text Recognition for digitized submissions
- Rubrics for keyword-criteria mapping
In use
Not yet implemented in another tool, though similar techniques are used in automated essay scoring systems.