This is a system designed to help people improve their performance on tests or tasks while keeping their identity private. It works by generating special codes, called identifier portions, that represent how someone performed on a specific part of a test and link to content that can help them improve. Crucially, these codes are designed so that a human cannot easily understand them, and they do not reveal who the user is, only their performance level in a particular area.
Why it matters: Since 2019, the demand for privacy-centric educational and training tools has surged, making deidentified performance feedback highly desirable. Advancements in secure identifier management and scalable content delivery systems now simplify building such a system.
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