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Narrative architecture·Medium cognitive demand·20–40 minutes

Data Story

Turn a dataset into a warranted explanatory narrative without hiding uncertainty, scale or counter-patterns.

Knowledge
Evidential · Causal · Comparative
Sequence
Modelling · Disciplinary Application
Interaction
Medium

Turn a dataset into a warranted explanatory narrative without hiding uncertainty, scale or counter-patterns. Data Story is selected when its reasoning mechanism matches an accepted learning requirement and produces evidence a teacher can inspect.

01How the architecture unfolds

  1. Identify variables, scale and data provenance.
  2. Describe the dominant pattern without explanation.
  3. Locate anomalies and counter-patterns.
  4. Connect patterns to a warranted explanation.
  5. Communicate the story with an uncertainty note.

02The work on each side

Teacher moves

  • Keep the target reasoning visible
  • Press for evidence at consequential decisions
  • Use the final product to diagnose the next move

Student moves

  • Notice
  • Construct
  • Test
  • Revise
  • Justify

03What would count as learning?

  • Claims match the scale and limits of the data
  • Students include anomalies that matter to interpretation

04Across the curriculum

Science

Climate series

Data Story applies its sequence to Climate series so the disciplinary reasoning remains visible.

Geography

Population migration

Data Story applies its sequence to Population migration so the disciplinary reasoning remains visible.