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Teaching Python with team-based learning: using cloud-based notebooks for interactive coding education.

Nuno S Osório1,2, Leonardo D Garma3

  • 1Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.

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Summary
This summary is machine-generated.

This study enhanced bioinformatics education for biomedical students using team-based learning (TBL) and interactive Python notebooks. The blended approach increased student engagement and confidence in computational biology tools.

Keywords:
Python instructionbioinformatics educationbiomedical studentsinteractive notebooksstudent engagement

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Area of Science:

  • Life Sciences Education
  • Bioinformatics Training
  • Computational Biology

Background:

  • Computer programming and bioinformatics are crucial for analyzing large 'omics' datasets in life sciences.
  • Students often face challenges learning these topics due to a lack of prior math or computing background.
  • Traditional teaching methods may not adequately address the technical barriers in computational biology education.

Purpose of the Study:

  • To address challenges in teaching programming and bioinformatics within biomedical education.
  • To enhance student engagement, understanding, and collaboration in bioinformatics using innovative teaching methods.
  • To evaluate a blended learning approach combining team-based learning (TBL) with cloud-hosted interactive Python notebooks.

Main Methods:

  • Integrated team-based learning (TBL) with cloud-hosted interactive Python notebooks for Masters level biomedical students.
  • Developed four interactive notebooks covering Python basics and bioinformatics applications (data manipulation to multi-omics analysis).
  • Utilized GitHub and Google Colaboratory for accessible, barrier-free cloud hosting of educational materials.

Main Results:

  • Students demonstrated high engagement with the interactive notebooks during TBL sessions.
  • The approach fostered increased interest in Python programming and greater confidence in using bioinformatics tools.
  • Student feedback indicated the value of TBL and interactive notebooks in enriching the learning experience.

Conclusions:

  • A blended, cloud-based TBL approach effectively enhanced accessibility and engagement in bioinformatics education.
  • This method shows potential for improving computational training across various life sciences disciplines.
  • Further research is needed to gather more validity evidence and explore development in bioinformatics research skills.