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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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A virtual computer lab for distance biomedical technology education.

Craig Locatis1, Anibal Vega, Medha Bhagwat

  • 1Office of High Performance Computing and Communications, National Library of Medicine, Bethesda, Maryland, USA. locatis@nlm.nih.gov

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Summary
This summary is machine-generated.

Distance learning methods successfully replicated computer lab functionality for biochemistry and genetics mini-courses. Interactive remote instruction and desktop access proved invaluable for student learning and engagement.

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Area of Science:

  • Biotechnology
  • Genomics
  • Biochemistry
  • Genetics

Background:

  • National Center for Biotechnology Information offers interactive mini-courses.
  • Courses apply biochemistry and genetics to genomics database searches.
  • Utilize 3D molecular visualization software, requiring significant computational resources.

Purpose of the Study:

  • To develop and evaluate methods for delivering computationally intensive mini-courses at a distance.
  • To replicate the functionality of an in-person computer lab environment for remote learning.
  • To assess the effectiveness of remote instruction for complex scientific software training.

Main Methods:

  • Devised methods using videoconferencing and desktop sharing software for remote course delivery.
  • Instructors demonstrated concepts and observed/interacted with students' remote desktops.
  • Pilot applications tested the remote learning setup.

Main Results:

  • Student learning experience ratings were comparable to face-to-face instruction.
  • Real-time interaction and remote desktop access were highly valued by students.
  • The methods effectively provided instructor observation and individual assistance.

Conclusions:

  • The implemented technologies and methods effectively mimic computer lab functionality.
  • This approach is suitable for distance training on complex, frequently updated computer applications.
  • Effective for scenarios requiring real-time instruction and remote student monitoring.