Beyond Textbooks: A Study on Supporting Learning of Molecule Naming in a Virtual Reality Environment

Leonie Disch, Sebastian Überreiter, Viktoria Pammer-Schindler

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Virtual reality (VR) applications promise to enhance learning experiences, with literature emphasizing game-based components, immersiveness, and exploration of inaccessible scenarios. However, effective learning through VR applications depends on technology design. This within-subjects study investigates a VR application targeted to learning molecule naming, following design principles for VR and knowledge construction. Our results show that participants (n=20) had a positive direct learning effect, as they scored significantly better in a knowledge test on molecule naming directly after the intervention compared to before. Further, a sustainable learning effect could be shown, as scores in the knowledge test after three weeks were significantly better than those before the intervention but did not differ from those directly after the intervention. Our contribution is demonstrating design guidelines for learning and knowledge construction in VR, specifically for chemistry, and showing that following such guidelines leads to an application that effectively supports learning.

Original languageEnglish
Title of host publicationMuC 2024 - Proceedings of the 2024 Mensch und Computer
PublisherAssociation of Computing Machinery
Pages310-322
Number of pages13
ISBN (Electronic)9798400709982
DOIs
Publication statusPublished - 1 Sept 2024
Event2024 Mensch und Computer, MuC 2024 - Karlsruhe, Germany
Duration: 1 Sept 20244 Sept 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2024 Mensch und Computer, MuC 2024
Abbreviated titleMuC 2024
Country/TerritoryGermany
CityKarlsruhe
Period1/09/244/09/24

Keywords

  • Chemistry
  • Knowledge Construction
  • Learning
  • Molecule Naming
  • Virtual Reality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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