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Supporting Data for Exploring the pedagogical benefits of Preclinical Education using VR/AR Technology in a Classroom Setting

dataset
posted on 2025-06-06, 04:24 authored by Cheuk Chun HoCheuk Chun Ho

This dataset comprises quantitative and qualitative data from a mixed-methods study evaluating the effectiveness of BioMolVR, a Virtual Reality (VR) application for teaching biomolecular structures in undergraduate biochemistry courses. It includes:

Pre-test/post-test scores from 80 students in an introductory course (BIOC1600) and two advanced implementations (BBMS3008), demonstrating a statistically significant 28% improvement in post-test performance (p < 0.001).

Survey responses using the validated Active Learning Strategies Inventory (ALSI), with high user satisfaction (mean score: 5.58/7) and perceived educational value.

Qualitative feedback on VR usability, spatial visualization benefits, and technical challenges (e.g., cybersickness mitigation).

Technical specifications for BioMolVR, including Unity-based development, HTC Vive Pro hardware integration, and molecular model preparation workflows using PyMOL/JMol.


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