From diagnostic evidence to a learning path
A score alone cannot tell an educator what a learner should do next.
In Foundations to Mastery, the diagnostic is one part of a longer decision. A learner’s response can include a keyable answer, written reasoning, a drawing, or a recording. Those forms of evidence do not all answer the same question. Treating them as interchangeable would make the resulting plan look precise while hiding uncertainty.
The system keeps the question’s scoring rubric with the question and preserves the source of each attempt. When the evidence is incomplete or ambiguous, the workflow makes that visible to the educator. AI can propose a reading of the work, but an educator confirms the report and the next learning cycle before either reaches a family.
The useful output is not a mysterious number. It is a traceable path: what was observed, what still needs review, which prerequisite deserves attention, and what instruction and practice should follow. That sequence shaped both the data model and the interface.