Syncretic Data Reasoning: Youth Leveraging Everyday Knowledges to Expand Their Reasoning around Data

• In Event: AERA Poster Session 10
  In Poster Session: SIG Poster Session on Data Science and A.I. in Education (San Diego)

Abstract

This paper examines how youth from non-dominant communities leveraged their everyday knowledges, linguistic repertoires, and media practices to expand their reasoning around data. Although previous studies have explored how educators can design culturally relevant data curriculum, this paper focuses on the tensions and possibilities that emerged between students’ everyday knowledges and data reasoning – what we term “syncretic data reasoning.” We analyze video recordings collected from six focal groups of students as their classrooms participated in a project called “Writing Data Stories.” Through peer-to-peer collaborations, students; 1) integrated cultural knowledges and a data software called CODAP to author culturally relevant data sets, 2) worked through tensions between everyday experiences and data, 3) learned about their everyday food consumption through data.

Authors

• Edward Rivero, University of California - Berkeley

• Xinyu Wei, University of California - Berkeley

• Michelle Hoda Wilkerson, University of California - Berkeley

• Kris D. Gutiérrez, University of California - Berkeley

• Puneet Bhargava, The University of British Columbia

• Honglin Zheng