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Evidence and research

Where learning theory becomes professional action.

The PI evidence base connects research on expertise, professional judgement, formative assessment, self-regulated learning, adaptive teaching, feedback and reflection.

Evidence architecture

Four bodies of work inform the emerging framework.

01

Expertise and professional judgement

How knowledge is organised, how experts notice patterns and how judgement operates under conditions of uncertainty.

02

Assessment and responsive teaching

How evidence is elicited, interpreted and used to determine the next instructional response.

03

SRL and metacognition

How planning, monitoring, strategy selection and reflection support increasingly independent learning.

04

Organisational learning

How shared language, deliberate practice, collaboration and leadership conditions strengthen collective capability.

Integration is the proposition

The evidence base matters because professional judgement has to bring it together.

Curriculum, pedagogy, assessment, evidence and context do not operate as isolated inputs. PI proposes the integrative architecture through which their significance is continually weighed.

See the PI architecture →
Research integrity

Distinguish evidence from proposition.

Established evidence

Claims directly supported by a mature or relevant body of research.

Reasoned synthesis

Connections drawn across established fields to explain the proposed PI architecture.

Emerging hypothesis

Claims that require empirical examination, including how PI develops and how ARC may support it.

Research opportunity

Questions suitable for school-based, design-based, qualitative or mixed-method investigation.

Research questions

Questions the framework opens.

  • Can Professional Intelligence be distinguished reliably from expertise, self-efficacy and general professional judgement?
  • Which experiences and organisational conditions most strongly develop PI?
  • How does making professional reasoning visible affect the quality of subsequent judgement?
  • When does AI reduce unproductive cognitive load, and when does it displace the thinking through which PI develops?
  • How might ARC be evaluated without confusing platform usage with educational impact?