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Despite growing calls to develop data science students’ ethical awareness and expand human-centered approaches to data science education, introductory courses in the field remain largely technical. A new interdisciplinary data science program aims to merge STEM and humanities perspectives starting at the very beginning of the data science curriculum. Existing literature suggests that humanities integration can make STEM courses more appealing to a wider range of students, including women and students of color, and enhance student learning of essential concepts and foundational reasoning skills, such as those collectively known as data acumen. Cultivating students’ data acumen requires a more inclusive vision of how the knowledge and insights generated through computational methods and statistical analysis relates to other ways of knowing.
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Learning to Be Astonished
We’re often taught to think of science and the humanities as discrete fields, with the former full of definite truths and the latter open to interpretation. But is that really the case? Lincoln Carr explains how he’s helping science students use the ambiguity essential to the humanities to become better researchers.
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- Award ID(s):
- 1806372
- PAR ID:
- 10113568
- Date Published:
- Journal Name:
- Physics world
- Volume:
- 32
- Issue:
- 5
- ISSN:
- 2058-7058
- Page Range / eLocation ID:
- 33
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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