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Introduction to Statistics01:17

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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Primary students' learning about citizenship through data science.

Katie Makar1, Kym Fry2,3, Lyn English3

  • 1The University of Queensland, St Lucia, Australia.

ZDM : the International Journal on Mathematics Education
|January 9, 2023
PubMed
Summary

Children can learn valuable citizenship skills by engaging with data science, developing critical thinking and advocacy. This approach, integrating digital technologies and health, is achievable in primary education and highlights curriculum gaps.

Keywords:
Citizenship educationCyberspaceData science for childrenInquiry-based learningMathematical inquiry

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Area of Science:

  • Educational Technology
  • Data Science Education
  • Citizenship Education

Background:

  • Traditional mathematics curricula often lack essential skills for modern citizenship, particularly in data analysis.
  • Data science offers a multidisciplinary approach to investigate complex problems using large, diverse datasets.

Purpose of the Study:

  • To explore what children can learn about citizenship through data science engagement.
  • To investigate the enrichment of citizenship learning via age-appropriate data science investigations.

Main Methods:

  • An exploratory qualitative study analyzing classroom video data from Year 4 students (aged 9-10).
  • Six lessons integrated digital technologies, health, and mathematics curricula.
  • Video data analysis used a framework from critical citizenship education literature.

Main Results:

  • Data science engagement positioned children as agents and advocates, enhancing citizenship skills.
  • Complex data investigations in citizenship education are feasible for primary students with curriculum integration.
  • A significant gap exists between data science skills and current mathematics curricula.

Conclusions:

  • Data science provides a powerful avenue for developing critical citizenship competencies in young learners.
  • Curriculum integration is key to successfully implementing data science in primary citizenship education.
  • Recommendations are made to update the mathematics curriculum to include essential data science skills.