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ERIC Number: EJ1354539
Record Type: Journal
Publication Date: 2022
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1570-1824
EISSN: EISSN-1570-1824
Available Date: N/A
Integrating the Humanities into Data Science Education: Reimagining the Introductory Data Science Course
Vance, Eric A.; Glimp, David R.; Pieplow, Nathan D.; Garrity, Jane M.; Melbourne, Brett A.
Statistics Education Research Journal, v21 n2 Article 9 2022
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.
International Association for Statistical Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: https://iase-web.org/ojs/SERJ
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A