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Using interactive digital notebooks for bioscience and informatics education.

Alan Davies1, Frances Hooley1, Peter Causey-Freeman1

  • 1School of Health Sciences, University of Manchester, Manchester, United Kingdom.

Plos Computational Biology
|November 5, 2020
PubMed
Summary
This summary is machine-generated.

This primer explores using Jupyter notebooks for bio/health informatics education. Interactive notebooks facilitate data analysis and create engaging learning experiences for diverse audiences.

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Area of Science:

  • Bioinformatics
  • Health Informatics
  • Educational Technology

Background:

  • Interactive digital notebooks offer a unified format for data analysis and reporting.
  • They enable the creation of rich, interactive content for educational narratives.
  • Jupyter notebooks are increasingly relevant in scientific and health education.

Purpose of the Study:

  • To introduce fundamental aspects of using Jupyter notebooks in bio/health informatics education.
  • To demonstrate the application of Jupyter notebooks in teaching programming skills.
  • To provide practical case studies for educators and researchers.

Main Methods:

  • A primer on the core features of Jupyter notebooks for educational purposes.
  • Two case studies detailing the implementation of Jupyter notebooks in Master's and PG Cert programs.
  • Focus on teaching programming skills to both non-coders and technical audiences.

Main Results:

  • Jupyter notebooks effectively support data analysis and reporting within a single digital format.
  • The interactive nature of notebooks enhances engagement and facilitates learning.
  • Successful application in diverse educational settings, from blended Master's to online PG Cert programs.

Conclusions:

  • Jupyter notebooks are valuable tools for teaching bio/health informatics and programming.
  • They cater to varied learning needs, from beginners to advanced students.
  • Interactive notebooks promote a dynamic and effective approach to scientific education.