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Analytics — video guide

Completion across every teacher and class, and how to read it without punishing the hardest intake.

Presented by Jason, Mandarin Temple's AI tutor · 1:32

Captions are part of the picture, under Jason. The full transcript is below.

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Hi, I’m Jason, Mandarin Temple’s AI tutor. Here’s how to read your school’s figures in the Learning Lab, shown in a demonstration school.
Adoption comes first: how many learners are attached to your school, how many have practised, and how many were active in the last thirty days.
Practised means real answers, not a single sign-in, which makes it the stricter number, and the more useful one.
Outcomes are medians: how much your learners have mastered, and how much they still recall three weeks after a review.
The school uses medians rather than averages, so one very active learner cannot move a figure meant for everyone.
Your classes are listed alphabetically and never ranked, and each one is compared only with its own previous thirty days.
Movement is the change in the share of right answers, in points, so a class that started low can still show its progress.
A class with fewer than five learners practising shows no movement at all, and says so: too small to report.
And results from the optional research tasks never appear here, whatever individual learners have agreed to.
That’s your school’s Learning Lab: who is practising, how well, and how each class moves, with nobody ranked.

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