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Research Articles

Toward Defining and Assessing Creativity in Sandbox Games

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Pages 194-212 | Received 31 May 2022, Published online: 03 Jan 2023
 

ABSTRACT

Digital sandbox games such as Minecraft can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established definitions of creativity in the literature. Based on prior work, we used a modified rubric for assessing a creative product in this study. We investigated the evaluation of a total of 52 Minecraft builds (i.e., structures that are created by the Minecrafters) from five YouTube videos. In addition to qualitatively coding the video transcripts, we also used natural language processing (NLP) for automatic coding of our data at scale. Our qualitative analysis of the YouTube transcripts revealed evidence for all but one dimension (i.e., humor) of the creativity rubric we used in our dataset. In addition, two new dimensions of creativity emerged in our qualitative coding process (i.e., realism and effort). Finally, the NLP model that we developed achieved about 80% accuracy in distinguishing the sentences that showed evidence of creativity. This study provides insights for research and educational practices of creativity in Minecraft or similar game or simulation environments.

Acknowledgments

We would like to thank the Learning Analytics in STEM Education Research (LASER) Institute for providing a wonderful networking opportunity, which enabled the authors to learn and collaborate on this project. We also would like to thank Mohammadali Agharazidermani and Dr. Eric Kildebeck of UT Dallas, the Minecraft experts who helped us identify the videos we needed for this study.

Disclosure statement

We wish to confirm that there are no known conflicts of interest associated with this manuscript.

Notes

1. See https://github.com/jinnieshinufl/Creativity-mining-minecraft to access the Python code we used.

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