INVESTIGATING DATA LIKE A DATA SCIENTIST: KEY PRACTICES AND PROCESSES
DOI:
https://doi.org/10.52041/serj.v21i2.41Keywords:
Statistics education research, Data science education, Industry ethnography, Data investigation framework, Literature reviewAbstract
With a call for schools to infuse data across the curriculum, many are creating curricula and examining students’ thinking in data-intensive problems. As the discipline of statistics education broadens to data science education, there is a need to examine how practices in data science can inform work in K-12. We synthesize literature about statistics investigation processes, data science as a field and practices of data scientists. Further, we provide results from an ethnographic and interview study of the work of data scientists. Together, these inform a new framework to support data investigation processes. We explicate the practices and dispositions needed and offer a glimpse of how the framework can be used to move the discipline of data science education forward.
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