Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
Joint Authors
Oberdörfer, Sebastian
Latoschik, Marc Erich
Source
International Journal of Computer Games Technology
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Affine Transformations (ATs) are a complex and abstract learning content.
Encoding the AT knowledge in Game Mechanics (GMs) achieves a repetitive knowledge application and audiovisual demonstration.
Playing a serious game providing these GMs leads to motivating and effective knowledge learning.
Using immersive Virtual Reality (VR) has the potential to even further increase the serious game’s learning outcome and learning quality.
This paper compares the effectiveness and efficiency of desktop-3D and VR in respect to the achieved learning outcome.
Also, the present study analyzes the effectiveness of an enhanced audiovisual knowledge encoding and the provision of a debriefing system.
The results validate the effectiveness of the knowledge encoding in GMs to achieve knowledge learning.
The study also indicates that VR is beneficial for the overall learning quality and that an enhanced audiovisual encoding has only a limited effect on the learning outcome.
American Psychological Association (APA)
Oberdörfer, Sebastian& Latoschik, Marc Erich. 2019. Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR. International Journal of Computer Games Technology،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1158842
Modern Language Association (MLA)
Oberdörfer, Sebastian& Latoschik, Marc Erich. Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR. International Journal of Computer Games Technology No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1158842
American Medical Association (AMA)
Oberdörfer, Sebastian& Latoschik, Marc Erich. Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR. International Journal of Computer Games Technology. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1158842
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158842