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Web-based 3D visualization system for anatomy online instruction

  • Georgia Southern University

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

Problem-based instruction is an active learning instructional practice that requires students to use rational and critical thinking skills to generate reasonable solutions to problem-based scenarios. For complex medical conditions such as stroke, degenerative diseases, and traumatic brain injury, students must have a strong command of neuroanatomy and physiology. While virtual and synthetic dissection simulation tools alleviate the need for procuring and maintaining costly resources, like cadavers, these tools are costly, inaccessible to students online, and inadequate in the teaching of practical knowledge needed to solve real-life clinical problems. In the wake of the Covid-19 pandemic, many courses have switched to an online format surprising students and faculty. The web-based visualization repository presented is intended to provide medical students with a comprehensive, web-based visual and problem-based learning tool to assist their learning of anatomical and neurophysiological concepts as applied to various medical disorders. The application can be used for online learning, as well as for in-person learning.

Original languageEnglish
Title of host publicationProceedings of the 2021 ACMSE Conference - ACMSE 2021
Subtitle of host publicationThe Annual ACM Southeast Conference
PublisherAssociation for Computing Machinery, Inc
Pages194-198
Number of pages5
ISBN (Electronic)9781450380683
ISBN (Print)9781450380683
DOIs
StatePublished - Apr 15 2021
Event2021 ACM Southeast Conference, ACMSE 2021 - Virtual, Online, United States
Duration: Apr 15 2021Apr 17 2021

Publication series

NameProceedings of the 2021 ACMSE Conference - ACMSE 2021: The Annual ACM Southeast Conference

Conference

Conference2021 ACM Southeast Conference, ACMSE 2021
Country/TerritoryUnited States
CityVirtual, Online
Period04/15/2104/17/21

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Hardware and Architecture
  • Software

Keywords

  • E-Learning
  • Neuroanatomy
  • Problem-based learning
  • Web 3D

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