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WhitepaperHindawi1 Apr 2019

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

Key insights

6 takeaways

01
Encoding abstract knowledge, such as Affine Transformations, into game mechanics (GMs) facilitates effective learning by requiring repetitive application of rules, which helps users build internal mental models.See it on page 5
02
The study found no significant difference in learning outcomes between desktop-3D and VR versions, nor did audiovisual enhancements or debriefing systems significantly improve learning effectiveness compared to the base model.See it on page 13
03
Participants in the VR group reported the highest learning quality ratings, suggesting that while VR may not improve raw knowledge acquisition efficiency, it enhances the subjective quality of the learning experience.See it on page 13
04
The VR version of the GEtiT training tool was less efficient than the desktop version, as the VR group solved fewer spatial puzzles in the same amount of time, likely due to design-related interaction challenges.See it on page 13
05
A significant correlation exists between the number of solved levels and test results for the desktop-3D group, confirming that the gamified mechanics successfully facilitate transfer-oriented learning.See it on page 12
06
Effective gamified learning requires a balance of 'game-bound' mechanics (which define the world and rules) and 'player-bound' mechanics (which allow for user interaction and immediate feedback).See it on page 2

Summary

International Journal of Computer Games Technology Volume 2019, Article ID 7626349, 17 pages https://doi.org/10.1155/2019/7626349 Knowledge Encoding in Game Mechanics: Transfer-Oriented Knowledge Learning in Desktop-3D and VR Sebastian Oberdörfer and Marc Erich Latoschik Human-Computer Interaction, University of Wurzburg,¨ Wurzburg,¨ Germany Correspondence should be addressed to Sebastian Oberd¨orfer; [email protected] Received 5 November 2018; Accepted 26 February 2019; Pub...

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

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

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