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Related Experiment Video

Updated: May 6, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

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

BMC Medical Education

|March 28, 2008

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.