Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR

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. Usin...

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Main Authors: Sebastian Oberdörfer, Marc Erich Latoschik
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2019/7626349
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author Sebastian Oberdörfer
Marc Erich Latoschik
author_facet Sebastian Oberdörfer
Marc Erich Latoschik
author_sort Sebastian Oberdörfer
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1687-7047
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series International Journal of Computer Games Technology
spelling doaj-art-5f66265d5306414fbc687305fadeeda52025-02-03T01:27:27ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552019-01-01201910.1155/2019/76263497626349Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VRSebastian Oberdörfer0Marc Erich Latoschik1Human-Computer Interaction, University of Würzburg, Würzburg, GermanyHuman-Computer Interaction, University of Würzburg, Würzburg, GermanyAffine 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.http://dx.doi.org/10.1155/2019/7626349
spellingShingle Sebastian Oberdörfer
Marc Erich Latoschik
Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
International Journal of Computer Games Technology
title Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
title_full Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
title_fullStr Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
title_full_unstemmed Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
title_short Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR
title_sort knowledge encoding in game mechanics transfer oriented knowledge learning in desktop 3d and vr
url http://dx.doi.org/10.1155/2019/7626349
work_keys_str_mv AT sebastianoberdorfer knowledgeencodingingamemechanicstransferorientedknowledgelearningindesktop3dandvr
AT marcerichlatoschik knowledgeencodingingamemechanicstransferorientedknowledgelearningindesktop3dandvr