Analyzing Iterative Training Game Design: A Multi-Method Postmortem Analysis of CYCLES Training Center and CYCLES Carnivale Article Swipe
Adrienne Shaw
,
Brian McKernan
,
Rosa Mikeal Martey
,
Jennifer Stromer‐Galley
,
E.T. Saulnier
,
Elizabeth McLaren
,
Matthew G. Rhodes
,
James Folkestad
,
Sarah Taylor
,
Kate Kenski
,
Benjamin A. Clegg
,
Tomek Stralkowski
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/mti2030046
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/mti2030046
That games can be used to teach specific content has been demonstrated numerous times. However, although specific game features have been conjectured to have an impact on learning outcomes, little empirical research exists on the impact of iterative design on learning outcomes. This article analyzes two games that have been developed to train an adult audience to recognize and avoid relying on six cognitive biases (three per game) in their decision making. The games were developed iteratively and were evaluated through a series of experiments. Although the experimental manipulations did not find a significant impact of the manipulated game features on the learning outcomes, each game iteration proved more successful than its predecessors at training players. Here, we outline a mixed-methods approach to postmortem game design analysis that helps us understand what might account for the improvement across games, and to identify new variables for future experimental training game studies.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/mti2030046
- https://www.mdpi.com/2414-4088/2/3/46/pdf?version=1533871612
- OA Status
- gold
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2886960871
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2886960871Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/mti2030046Digital Object Identifier
- Title
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Analyzing Iterative Training Game Design: A Multi-Method Postmortem Analysis of CYCLES Training Center and CYCLES CarnivaleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-08-10Full publication date if available
- Authors
-
Adrienne Shaw, Brian McKernan, Rosa Mikeal Martey, Jennifer Stromer‐Galley, E.T. Saulnier, Elizabeth McLaren, Matthew G. Rhodes, James Folkestad, Sarah Taylor, Kate Kenski, Benjamin A. Clegg, Tomek StralkowskiList of authors in order
- Landing page
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https://doi.org/10.3390/mti2030046Publisher landing page
- PDF URL
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https://www.mdpi.com/2414-4088/2/3/46/pdf?version=1533871612Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2414-4088/2/3/46/pdf?version=1533871612Direct OA link when available
- Concepts
-
Computer science, Game design, Training (meteorology), Artificial intelligence, Machine learning, Human–computer interaction, Physics, MeteorologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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