•  
  •  
 

Abstract

This article explores how making data playable, i.e. developing exploratory co-creation techniques that use elements of play and games to interpret small to mid-sized datasets beyond the current focus on visual evidence, can help a) promote creative data literacy in higher education, and b) expand existing definitions of data literacy. The article briefly investigates playful characteristics in existing data practices, and discusses how this perspective compares to existing frameworks that define data literacy. In a second step, we present a Discursive Game Design technique to promote creative data literacy. The article reports on findings from a sample workshop, during which students explored how modifying small, hybrid games based on real-world datasets can alter players’ interpretation of the data, but also their perception of how the games operate as epistemic objects within data analysis. Finally, we formulate recommendations on how to adapt the technique to different educational settings.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.