WEBVTT - Analytics — Mandarin Temple guide

1
00:00:00.600 --> 00:00:03.936
Hi, I’m Jason, Mandarin Temple’s AI tutor.

2
00:00:03.976 --> 00:00:09.510
Here’s how to read your school’s figures in the
Learning Lab, shown in a demonstration school.

3
00:00:10.667 --> 00:00:17.267
Adoption comes first: how many learners are
attached to your school, how many have practised,

4
00:00:17.307 --> 00:00:21.257
and how many were active in the last thirty days.

5
00:00:21.800 --> 00:00:27.630
Practised means real answers, not a single
sign-in, which makes it the stricter number,

6
00:00:27.670 --> 00:00:29.270
and the more useful one.

7
00:00:29.833 --> 00:00:33.893
Outcomes are medians: how much your learners have mastered,

8
00:00:33.933 --> 00:00:37.863
and how much they still recall three weeks after a review.

9
00:00:38.400 --> 00:00:41.427
The school uses medians rather than averages,

10
00:00:41.467 --> 00:00:46.110
so one very active learner cannot
move a figure meant for everyone.

11
00:00:46.667 --> 00:00:50.067
Your classes are listed alphabetically and never ranked,

12
00:00:50.107 --> 00:00:54.697
and each one is compared only
with its own previous thirty days.

13
00:00:55.233 --> 00:00:59.006
Movement is the change in the
share of right answers, in points,

14
00:00:59.046 --> 00:01:03.103
so a class that started low can still show its progress.

15
00:01:03.667 --> 00:01:09.767
A class with fewer than five learners practising
shows no movement at all, and says so:

16
00:01:09.807 --> 00:01:11.857
too small to report.

17
00:01:12.400 --> 00:01:19.710
And results from the optional research tasks never
appear here, whatever individual learners have agreed to.

18
00:01:21.067 --> 00:01:27.779
That’s your school’s Learning Lab: who is
practising, how well, and how each class moves,

19
00:01:27.819 --> 00:01:29.657
with nobody ranked.