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Kai, Learning Evidence Analyst

Evidence and next steps

Kai

Learning Evidence Analyst

LiveFinds learning evidence

Kai looks across recall, explanation, application, misconceptions, and support used to make progress visible.

Turn learning activity into evidence that can support a thoughtful next decision.

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Best for

  • Finding evidence beyond a score
  • Surfacing misconceptions
  • Connecting progress across sessions
  • Supporting teacher and learner decisions

AI model

Evidence interpretation layer

Kai's role

Observe

Collect only the evidence created inside the learning experience.

Interpret

Look for recall, reasoning, explanation, and application.

Clarify

Show what is secure, emerging, or needs another approach.

Inform

Offer a signal while leaving consequential decisions to people.

How Kai helps

  • Kai does not diagnose a learner or assign a fixed learning-style label.
  • In School, the teacher chooses the instructional response.

Goals

  • Make progress legible
  • Avoid reducing learning to one score
  • Support continuity
  • Keep decisions appropriately human
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