Implementing Civic Statistics: An Agenda for Action

Iddo Gal (), Jim Ridgway (), James Nicholson () and Joachim Engel ()
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Iddo Gal: University of Haifa, Department of Human Services
Jim Ridgway: University of Durham
James Nicholson: University of Durham
Joachim Engel: Ludwigsburg University of Education

Chapter Chapter 4 in Statistics for Empowerment and Social Engagement, 2022, pp 67-96 from Springer

Abstract: Abstract The first three chapters of this book have identified societal demands for understanding Civic Statistics (Chap. 1 ), described specific features of the statistical and mathematical information citizens receive about civic issues (Chap. 2 ), and mapped out the facets and tools (skills, knowledge, mental and motivational tools) needed to critically understand such statistical and mathematical information about society (Chap. 3 ). The present chapter examines issues that are essential for promoting necessary changes in the teaching and learning of Civic Statistics, which are needed for empowering citizens to engage with and analyze data sources and data-informed reasoning about burning issues in society, and critically interpret messages related to Civic Statistics encountered in the news media, social networks and related digital sources. The chapter first provides further illustrations of activities or tasks pertaining to Civic Statistics and shows how to analyse task demands in terms of the facets and tools they require. Then, general questions are examined regarding the all-important alignment of the features of Civic Statistics and their demands with curriculum plans and learning goals, classroom teaching practices, and assessment methods. We provide some guidelines for developing assessment items relevant to Civic Statistics. Finally, the chapter presents six broad recommendations related to changes in systemic issues that can promote attention to and critical understanding of Civic Statistics, at the school and university levels, and which can improve effective instruction and assessment in this regard, within mathematics education, statistics and data science education, and related disciplines.

Keywords: Curriculum alignment; Statistics education; Media literacy; Data literacy; Statistical literacy (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-20748-8_4

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DOI: 10.1007/978-3-031-20748-8_4

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