Studying interdisciplinary thinking about complex real world data at datafest
DOI:
https://doi.org/10.52041/iase2023.116Abstract
In the 21st century with the rise of computing power, it has become increasingly important to create opportunities for students to learn to work with large, authentic, complex (LAC) data across multiple disciplines. DataFest, a hackathon style undergraduate event, creates a space for such inquiry due to the collaborative, data-driven, open-problem, real-world relevant nature of the challenge it presents. We present preliminary findings from research that explores how teams at DataFest leverage and integrate multidisciplinary tools and domain knowledge to engage productively with the data investigation process. Implications for statistics and data science education are discussed.References
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