Data science education must account for human and sociopolitical dimensions
In short: Researchers argue that teaching K–12 students to work with data requires looking beyond technical skills. By synthesizing various lines of educational research, the authors suggest that the way students create and manipulate data is deeply shaped by personal experiences, cultural tools, and political concerns.
The authors propose a humanistic framework to help educators design more inclusive and responsible learning environments. They demonstrate through two examples how making data personally relevant to youth also involves navigating broader cultural and sociopolitical dimensions.
This paper presents a theoretical argument and interdisciplinary framework based on a review of existing literature, rather than an empirical study of a specific student sample.
Why it matters: Effective data science education requires understanding the cultural and political contexts behind data manipulation.
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Sources
- Source: Research: Lee et al. (2021). A Call for a Humanistic Stance Toward K–12 Data Science Education. Educational Researcher. · cc-by-nc
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