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Infrastructuring Educational Genomics: Associations, Architectures, and Apparatuses.

Ben Williamson1, Dimitra Kotouza1, Martyn Pickersgill1

  • 1University of Edinburgh, Edinburgh, UK.

Postdigital Science and Education
|January 6, 2025
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Summary
This summary is machine-generated.

Educational genomics research uses big data to find genetic links to learning. However, this approach shapes how we understand education, influencing interventions and student predictability.

Keywords:
Behavior geneticsBioinformaticsEducational genomicsKnowledge infrastructureSociogenomics

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Area of Science:

  • Educational Genomics
  • Bioinformatics
  • Sociology of Science

Background:

  • Molecular genomics is increasingly influencing educational research.
  • Scientific consortia aim to link genetic factors to educational traits and outcomes.
  • This involves analyzing large datasets of biological information.

Purpose of the Study:

  • To examine the emerging knowledge infrastructure of educational genomics.
  • To analyze the organizational, epistemic, and technoscientific components of this field.
  • To critically assess the claims and practices within educational genomics.

Main Methods:

  • Analysis of the 'knowledge infrastructure' of educational genomics.
  • Examination of data-centered epistemologies and practices.
  • Deconstruction of the 'black box' of educational genomics.

Main Results:

  • Educational genomics relies on data-intensive approaches, recasting educational issues as molecular genetic associations.
  • This field establishes a new form of scientific authority.
  • It functions as an 'ontological infrastructure,' shaping how education is known and intervened upon.

Conclusions:

  • Educational genomics does not simply discover biological bases for educational outcomes.
  • It constructs particular ways of knowing and intervening in education.
  • It reframes students as predictable through algorithmic processing of bioinformation.