@inproceedings{ad58f274aafc4d8389ff6775904719a6,
title = "Constructing “Kinds of People” With Data in Classroom Talk: Operationalizing Racial Data Literacy",
abstract = "In this conceptual paper we use vignettes from classroom interactions to examine the construct of racial data literacy. Two cases of teaching and learning with data visualizations about racialized populations in the United States - African Americans and Mexican Americans - are used to illustrate the ways racial literacy and data literacy can intertwine in classroom discourse, with stakes for learning and learners. Examining our own teaching, the paper invites the Learning Sciences community to take up the project of further operationalizing racial data literacy, and building a shared understanding of how we can promote it in classroom practice.",
author = "Josh Radinsky and Iris Tabak",
note = "Publisher Copyright: {\textcopyright} ISLS.; 17th International Conference of the Learning Sciences, ICLS 2023 ; Conference date: 10-06-2023 Through 15-06-2023",
year = "2023",
month = jan,
day = "1",
language = "American English",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
pages = "226--233",
editor = "Paulo Blikstein and {Van Aalst}, Jan and Rita Kizito and Karen Brennan",
booktitle = "ISLS Annual Meeting 2023",
}