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Journal of Science Education and Technology

, Volume 25, Issue 4, pp 655–664 | Cite as

The (De-)evolution of Evolution Games: A Content Analysis of the Representation of Evolution Through Natural Selection in Digital Games

  • Alex P. Leith
  • Rabindra A. Ratan
  • Donghee Yvette Wohn
Article

Abstract

Given the diversity and complexity of education game mechanisms and topics, this article contributes to a theoretical understanding of how game mechanisms “map” to educational topics through inquiry-based learning. Namely, the article examines the presence of evolution through natural selection (ENS) in digital games. ENS is a fundamentally important and widely misunderstood theory. This analysis of ENS portrayal in digital games provides insight into the use of games in teaching ENS. Systematic database search results were coded for the three principles of ENS: phenotypic variation, differential fitness, and fitness heritability. Though thousands of games use the term evolution, few presented elements of evolution, and even fewer contained all principles of ENS. Games developed to specifically teach evolution were difficult to find through Web searches. These overall deficiencies in ENS games reflect the inherent incompatibility between game control elements and the automatic process of ENS.

Keywords

Evolution STEM fields Education Natural selection Games 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Alex P. Leith
    • 1
  • Rabindra A. Ratan
    • 1
  • Donghee Yvette Wohn
    • 2
  1. 1.Department of Media and InformationMichigan State UniversityEast LansingUSA
  2. 2.Department of Information SystemsNew Jersey Institute of TechnologyNewarkUSA

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