Data science for informed citizen: Learning at the intersection of data literacy, statistics and social justice
Year: 2024
Type: article
Abstract: Data science as a practical science has been conceived to address tangible problems in science, technology and society. Educating students in data science goes beyond teaching about algorithms, skills of manipulating data sets, selecting and applying appropriate analyses, and creating and interpreting visual representations of data. It also involves raising a critical understanding of how data are produced and how they can be used for particular purposes, including the role of context in interpreting data. It emphasizes developing an awareness for data ethics, and considering the implications for policy and society when powerful algorithms are used. Participation in democracy, in today’s digital and datafied society requires the development of a series of transversal skills which need to be fostered in educational institutions through critically oriented pedagogies that interweave technical data skills and practices together with statistical and media literacies. Based on an analysis of trends and needs to protect democratic values in a datafied society and on own reflections of teaching practices this paper gives recommendations on designing data science courses to develop informed citizen.
Authors: Joachim Engel, Laura Martignon
Institution: Ludwigsburg University of Education
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408030928