Interdisciplinary Data Education

Author:

Farrell Kate1,Robertson Judy1

Affiliation:

1. Moray House School of Education and Sport, University of Edinburgh, Edinburgh, Scotland

Funder

University of Edinburgh Data Driven Innovation

Publisher

ACM

Reference5 articles.

1. Bhargava R. et al. 2015. Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data (Data-Pop alliance white paper series). Bhargava R. et al. 2015. Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data (Data-Pop alliance white paper series).

2. Burning Glass Technologies 2017. The Quant Crunch: how the demand for data science skills is disrupting the job market. Burning Glass Technologies 2017. The Quant Crunch: how the demand for data science skills is disrupting the job market.

3. High Workload Leaves 75% of Teachers Frequently Feeling Stressed: 2019. https://www.eis.org.uk/Latest-News/Stress. Accessed: 2019-09-20. High Workload Leaves 75% of Teachers Frequently Feeling Stressed: 2019. https://www.eis.org.uk/Latest-News/Stress. Accessed: 2019-09-20.

4. Data science programs in U.S. higher education: An exploratory content analysis of program description, curriculum structure, and course focus

5. Creating an Understanding of Data Literacy for a Data-driven Society;Wolff A.;The Journal of Community Informatics.,2016

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3. A Flexible School and College Level Qualification in Data Science;Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research;2023-09-27

4. Open Data Interface (ODI) for secondary school education;Computers & Education;2021-12

5. Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective;Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-06

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