@inproceedings{a3902f6128324196b711a6ff5272358d,
title = "Critical Data Storytelling through Photography",
abstract = "Understanding why and how to support claims with data is a key challenge in scientific inquiry. We propose that arts-integrated approaches to data literacy have potential to increase engagement in data reasoning and support students in making data-based arguments. We co-designed a data storytelling unit, which aimed to engage 8th-grade students with their neighborhoods through photography and data. We asked: (1) How did students reason about data in their artist statements? (2) How did students use artistic strategies to communicate a message in their photo-essays? and (3) In which ways do data reasoning and artistic strategies co-occur in photo-essays? Based on qualitative analysis of 20 photo-essays, we found that students operationalized socio-scientific concepts through use of variety, highlighted differences within or between neighborhoods through contrast, and synthesized quantitative and qualitative data through pattern. Findings suggest that connecting artistic strategies and data reasoning practices generates opportunities for critical data literacy.",
author = "Anna Amato and Camillia Matuk and Jill Beale and Kayla DesPortes and Marian Tes and Ralph Vacca and Woods, {Peter J.} and Megan Silander",
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",
language = "English (US)",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "537--544",
editor = "Paulo Blikstein and {Van Aalst}, Jan and Rita Kizito and Karen Brennan",
booktitle = "ISLS Annual Meeting 2023",
}