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Teachers notice small steps forward every day. This demo introduces
three ways artificial intelligence can help prepare useful wording.

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The examples use made-up data. AI provides a starting point, while
people remain responsible for the decisions.

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First, open a student portfolio in the teacher demo and choose Suggest
an observation. The system refers to the saved notes.

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It offers wording and a reason. The teacher accepts or rejects it;
only acceptance adds an approved observation to the portfolio.

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Next, choose Draft a progress report. AI prepares editable wording
from the portfolio, rather than a finished assessment.

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The teacher checks the content, saves the draft, and decides whether
to share it with the parent. AI does not send it automatically.

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Programme administrators can also request a written summary from the
insights dashboard. This feature works with aggregate statistics.

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It helps highlight questions worth following up. It is not a diagnosis
or a prediction about an individual child.

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Here are those same three steps on the actual screens, recorded with
made-up pupils and made-up notes.

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The teacher opens a portfolio and asks for an observation. The
suggestion arrives with its reason attached.

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Nothing is added until the teacher accepts it. Rejecting it leaves the
portfolio unchanged.

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A progress report is drafted from the same evidence, and stays a draft
until someone chooses to share it.

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On the programme dashboard the summary reads totals only, never an
individual child's record.

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AI can make mistakes, so every draft needs human review. A suggestion
is not a conclusion.

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Video interpretation is still provisional and must not be presented as
a finished capability. This introduction focuses on the connected
text-assistance workflows.

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To explore, select the teacher persona and try a suggestion and report
draft. Then switch to the programme administrator for the insights
summary.

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AI helps with preparation. Teachers and administrators keep the final
decision.