Cultivating Critical, Justice-Oriented Data Literacies in a Post-Truth World

Joseph L. Polman, Iris Tabak, Trang C. Tran, Anna Amato, Megan Silander, Camillia Matuk, Jill Beale, Kayla DesPortes, Marian Tes, Ralph Vacca, Peter J. Woods, Daniel R. Pimentel, Emily Reigh, Victor R. Lee, Bryan A. Brown, Ilana Dubovi, Josh Radinsky, Day Greenberg, Angela Calabrese Barton, Leslie HerrenkohlEleni A. Kyza, Christiana Varda, Andee Rubin, Stephen Sommer, Cindy Graville, Susan Yoon, Clark Chinn, Amanda M. Cottone, Thomas Richman, Noora Noushad, Huma Hussain-Abidi, Xinyu Wei, Cherise McBride, Michael Bakal, Collette Roberto, Puneet Bhargava, Michelle Wilkerson, Thomas Philip

Research output: Chapter in Book/Report/Conference proceedingConference contribution


What are pathways toward critical and just data literacies? Achieving critical and just data literacies is especially challenging in an ideologically polarizing “post-truth” world in which we confront a rising tide of misinformation and fake news, alongside discourse that denigrates politically conservative perspectives. Although reasoning with data is rooted in epistemic processes, the stances people take are-and should be-influenced by values, concerns about maintaining cultural group membership, and concerns about equity and justice. Through a range of approaches, contexts, and age groups, the papers seek to illuminate how to help learners become adept at employing data interpretation conventions, scrutinizing the reliability of data representations, and examining whether data representations render humans and more-than-humans visible or invisible, central, peripheral, unidimensional, or complex. Jointly, the papers examine how to cultivate publics who make use of consequential data representations to negotiate their everyday lives, and who identify and resist datafied injustice.

Original languageEnglish (US)
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Number of pages8
ISBN (Electronic)9781737330653
StatePublished - 2022
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: Jun 6 2022Jun 10 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316


Conference16th International Conference of the Learning Sciences, ICLS 2022
CityVirtual, Online


  • axiology
  • data literacies
  • data science education
  • epistemology
  • justice
  • post-truth

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education


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