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Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.
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Using Simulation-Based Active Learning Strategies for Teaching Biofluids Concepts.

Debanjan Mukherjee1, Alex J Barker2

  • 1Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309.

Journal of Biomechanical Engineering
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Simulation-based active learning modules effectively teach complex physiological biofluids concepts remotely. These modules enhance student understanding and engagement in biomedical engineering education.

Keywords:
active learningbiofluidsonline teachingphysiologysimulation based learning

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Area of Science:

  • Biomedical Engineering Education
  • Physiological Biofluids
  • Computational Fluid Dynamics

Background:

  • Biofluids education is inherently interdisciplinary and applied, requiring innovative teaching methods.
  • Traditional approaches struggle with the heterogeneity of biofluids topics across scales.
  • The COVID-19 pandemic necessitated remote learning solutions for specialized courses.

Purpose of the Study:

  • To design and implement simulation-based active learning modules for a physiological biofluids course.
  • To address the challenge of teaching complex biofluids concepts in a remote learning environment.
  • To evaluate the efficacy and student response to simulation-based learning modules.

Main Methods:

  • Developed simulation-based active learning modules for a physiological biofluids course.
  • Utilized two case studies: arterial Windkessel effects and helical flow in the aorta.
  • Incorporated four-dimensional (4D) flow magnetic resonance imaging (MRI) data for visualization.

Main Results:

  • Student surveys, feedback, and performance data indicated positive reception.
  • The modules demonstrated efficacy in facilitating student learning of biofluids concepts.
  • Simulation-based approaches proved effective for remote and online delivery.

Conclusions:

  • Simulation-based active learning modules are a viable and effective tool for teaching physiological biofluids.
  • These modules successfully support remote and online learning modalities.
  • The approach enhances student engagement and comprehension in biomedical engineering.