Text recognition serves as a fundamental building block for digital assessment processing, converting handwritten or scanned text into machine-readable format. While primarily enabling advanced features like automated grouping and keyword extraction, it also improves basic readability and accessibility of student responses. The technology faces significant challenges with handwriting recognition, particularly in exam conditions where writing may be hurried or unclear. Current accuracy rates, while improving with modern AI, still require human verification for high-stakes assessment.
Prerequisites
- Digitization of physical exam papers
In use
Not yet implemented as a standalone feature in grading tools, though OCR technology is widely used in document processing systems.