Spot early who is falling behind

Teachers spot early who is falling behind with the material

Future prospectStrictly regulatedAssessing & selecting peopleSchools & universities

Fits: Teaching & education

Aim: anyone who is losing touch gets support earlier, instead of only being noticed after a bad class test or shortly before dropping out of university. To be honest: early warning systems like this have so far mainly been run in pilot projects, and for individuals they are only accurate to a limited extent.

Is this for you?

  • As a pilot school or pilot department, you want to gain experience early.
  • You have support offers you can make when someone stands out.
  • There is learning data, for example from a learning platform or regular short tests, that you are allowed to use for this purpose.
First step today

Without any learner data: use the template below to collect warning signs that already tell you today that someone is falling behind, and check which of them would disadvantage particular groups. This is the basis for your pilot criteria.

How to go about it

  1. Disclose the purpose and the warning signs
  2. Classify it legally
  3. Check learning data for gaps and bias
  4. The system gives a hint, the teacher talks to the person
  5. Inform learners and parents
  6. Review the pilot for fairness and decide whether to stop

Templates to copy

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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

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Same approach, other use cases

16 more use cases follow the pattern “Assessing & selecting people”.

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SH-05 · Legal status 08.10.2026 · Education and examinations (Annex III No. 3)