Seeing the Whole Elephant - A Comprehensive Framework for Data Education
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Authors
Cruickshank, Iain
Bastian, Nathaniel D.
Blair, Jean R.S.
Sobiesk, Edward
Chewar, Christa
Issue Date
2024-03-08
Type
Conference presentations, papers, posters
Language
Keywords
Data Science , Computer Science , Education
Alternative Title
Abstract
While there has been exciting recent progress in developing curricula for data education, more work is needed to establish connection points between data science, computer science, and other disciplines. This position paper argues for a broader, more all-encompassing perspective on data education to ensure opportunities are not missed. Our primary contribution is a comprehensive framework to visualize the data education landscape with the goal of improving understanding of how the various data education disciplines, work roles, core competencies, and skills fit together. Students and educators could benefit from such a framework, and all constituents of data education might better communicate requirements and more effectively make use of data and the data workforce.
Description
Citation
Cruickshank, Iain J., Nathaniel D. Bastian, Jean RS Blair, Christa M. Chewar, and Edward Sobiesk. "Seeing the Whole Elephant-A Comprehensive Framework for Data Education." In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, pp. 248-254. 2024.
Publisher
ACM