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Pedagogy of teaching with large datasets: Designing and implementing effective data-based activities.

Catherine M O'Reilly1, Tanya Josek2, Rebekka D Darner2,3

  • 1Department of Geography, Geology, and the Environment, Illinois State University, Normal, Illinois, USA.

Biochemistry and Molecular Biology Education : a Bimonthly Publication of the International Union of Biochemistry and Molecular Biology
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Summary

This study outlines how to create effective large dataset activities for students, focusing on inquiry-based learning and accessible tools. It provides strategies to overcome challenges in teaching with big data.

Keywords:
RStudiobig dataprofessional development

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Area of Science:

  • Environmental science education
  • Data science education

Background:

  • Large datasets offer unique opportunities for developing students' skills and conceptual knowledge.
  • Effective integration of big data in teaching requires careful activity design and accessible tools.

Purpose of the Study:

  • To discuss core components for developing effective large dataset activities aligned with the 5E learning cycle.
  • To provide strategies for overcoming barriers when working with large datasets in educational settings.

Main Methods:

  • Structuring data-based activities around relevant questions using authentic, publicly accessible data.
  • Scaffolding activities to include student choice and opportunities for results discussion.
  • Ensuring accessibility of data manipulation, analysis, and visualization software for students.

Main Results:

  • Data-based activities should be inquiry-driven, utilize real-world data, and incorporate student agency.
  • Strategies like pre-organizing code, using cloud-based software, and minimizing syntax errors reduce barriers to working with large datasets.
  • Resources such as Data Carpentry and Project EDDIE support teaching with large datasets.

Conclusions:

  • Effective large dataset activities foster critical thinking and data literacy skills.
  • Accessible tools and pedagogical strategies are crucial for successful implementation of big data in education.
  • Professional development and learning resources are available to support educators in teaching with large datasets.