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Student responses to creative coding in biomedical science education.

Phillip Gough1, Oliver Bown2, Craig R Campbell3

  • 1Affective Interactions Lab, School of Architecture, Design and Planning, The University of Sydney, Camperdown, New South Wales, Australia.

Biochemistry and Molecular Biology Education : a Bimonthly Publication of the International Union of Biochemistry and Molecular Biology
|November 10, 2022
PubMed
Summary
This summary is machine-generated.

Biomedical science students benefit from learning to code, enhancing future career prospects. A creative coding approach using Processing and Arduino was largely supported by students, despite some challenges with exercise difficulty.

Keywords:
Arduinobiomedical science educationcreative codedata visualizationprocessing

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Area of Science:

  • Biomedical Science Education
  • Computational Thinking in Science
  • Data-Driven Research Skills

Background:

  • Biomedical science graduates require coding proficiency for advanced research and data-intensive workforces.
  • Integrating coding into biomedical curricula faces challenges, including student anxiety towards computational skills and faculty expertise gaps.

Purpose of the Study:

  • To describe a creative coding approach for developing coding skills in biomedical science students.
  • To assess student quantitative and qualitative responses to a coding-integrated curriculum using Processing and Arduino.

Main Methods:

  • An interdisciplinary faculty team taught biomedical science students using Processing and Arduino.
  • Student responses were analyzed using quantitative and qualitative methods, including cluster analysis.

Main Results:

  • Cluster analysis revealed diverse student responses; a majority supported creative coding in the curriculum.
  • A minority opposed creative coding, citing exercise difficulty or the belief that coding is outside biomedical science.
  • Processing and Arduino were used to visualize human physiological data, addressing varied student needs.

Conclusions:

  • Creative coding, utilizing platforms like Processing and Arduino, can be effectively integrated into biomedical science programs.
  • This approach prepares students for data-driven futures, though curriculum adjustments may be needed for diverse learning needs and preferences.