More learner data is not the same as more understanding

A mark, attendance record or dashboard can point toward a question, but it cannot explain the learner by itself.

Editorial diagram for More learner data is not the same as more understanding
01

The signal

Education systems collect large amounts of information because planning and accountability require evidence. The problem begins when the record is treated as the child or when data is gathered without a clear decision it is meant to support.

02

What the evidence asks us to notice

  • A low mark can have several explanations.
  • Missing work and weak understanding are not the same.
  • Teacher knowledge includes context that may not be digitised.
  • Signals should remain open to correction.
03

The Asmbly lens

Asmbly’s learner insights should lead back to the teacher and the evidence, not to an automated judgement. The system can organise patterns while the teacher interprets what they mean.

04

A necessary limit

Data minimisation matters. Collecting more because it may become useful later increases privacy risk and often creates more administration.

Sources

Sources and further reading

  1. Guidance for generative AI in education and researchUNESCO
  2. Differentiated Learning Plus ProgrammeUNICEF
  3. Education in RwandaUNICEF Rwanda

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