Analyzing Iterative Training Game Design: A Multi-Method Postmortem Analysis of CYCLES Training Center and CYCLES Carnivale
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 10, 2018
- Source ID
- 10.3390/mti2030046
Entities
People
- Adrienne Shaw
- Benjamin A. Clegg
- Brian Mckernan
- Elizabeth Mclaren
- Emilie Saulnier
- James Folkestad
- Jennifer Stromer-galley
- Kate Kenski
- Matthew Rhodes
- Rosa Martey
- Sarah N. Taylor
- Tomek Stralkowski
Organizations
- Intelligence Advanced Research Projects Activity