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Session Type: Structured Poster Session
This symposium responds to calls for increased focus on data literacy in education and specifically how context, culture, and place impact what and how people learn through data. The 11 studies aim to highlight: 1) Real-world issues that are investigated through data; 2) How place-based learning is enabled (e.g., what technologies and resources are used); 3) How identity, historical narratives, and local or cultural knowledge are engaged; and 4) Methods, analyses, and evaluation of learning and/or participation. This set of studies highlight the ubiquity of data literacy goals for a range of learners (e.g., youth to adults), a range of disciplinary applications (e.g., art to bioinformatics), and a range of contexts (e.g., rural to urban).
A Framework for Exploring Self, Community, Histories, and Futures Through Data (Poster 1) - Michelle Hoda Wilkerson, University of California - Berkeley; David Stokes, North Carolina State University; Hollylynne Stohl Lee, North Carolina State University; Emily V. Reigh, University of California - Santa Cruz; Meg Elena Escudé, University of California - Berkeley; Edward Rivero, Teachers College, Columbia University; Kris D. Gutiérrez, University of California - Berkeley
Cultivating Identities of Care in the Science Classroom Using Complex Systems Data and Modeling (Poster 2) - Veronica Cassone McGowan, University of Washington - Bothell; Philip L. Bell, University of Washington
Fostering Awareness of Big Data Through a Quantified-Self Approach: Designing for Critical Data Literacy (Poster 3) - Andria Agesilaou, Cyprus University of Technology; Eleni A. Kyza, Cyprus University of Technology
Hyperlocal Expertise: Schoolyards as Rich and Complex Contexts for Developing Children's Data Practices (Poster 4) - Kathryn Lanouette, College of William & Mary; Victor R. Lee, Stanford University
Learning Bioinformatics Through a Justice-Centered Design: Developing Student Relationships With Data in Urban Communities (Poster 5) - Susan A. Yoon, University of Pennsylvania; Jooeun Shim, University of Pennsylvania; Katherine M. Miller, Concord Consortium; Amanda Cottone, University of Pennsylvania; Noora Fatima Noushad, University of Pennsylvania; Thomas Richman, University of Pennsylvania; Amin Marei, University of Pennsylvania; Blanca Himes, University of Pennsylvania; Michael Gonzales, Children’s Hospital of Philadelphia; Ryan Urbanowicz, University of Pennsylvania
No Learning Lost Here: Youth Critical Data Practices in the COVID-19 Multi-Pandemic (Poster 6) - Angela Calabrese Barton, University of Michigan; Day W. Greenberg, Indiana University; Chandler Turner, University of Michigan; Devon Riter, University of Michigan; Leslie R. Herrenkohl, University of Michigan; Elizabeth A. Davis, University of Michigan; Tammy Quinn Tasker, University of Michigan
Place-Based Air Quality Inquiry in U.S. Rural Contexts (Poster 7) - Joseph L. Polman, University of Colorado - Boulder; Trang C. Tran, University of Colorado - Boulder; Daniel W. Knight, University of Colorado
Place-Making Practices With COVID-19 Data (Poster 8) - Josh L. Radinsky, University of Illinois at Chicago; Iris Tabak, Ben-Gurion University of the Negev
Postcards From the Bronx: Students Redefine What a Healthy Place Is Through Justice-Oriented Data Art (Poster 9) - Anna Amato, New York University; Camillia Matuk, New York University; Veena Vasudevan, University of Pittsburgh; Kayla DesPortes, New York University; Megan Silander, Education Development Center, Inc.; Marian Tes, New York University; Ralph Vacca, New York University; Peter J. Woods, Massachusetts Institute of Technology
Seeing Ourselves in the Data: Situating Data Literacy in Theory-Building and Action-Taking by Youth (Poster 10) - Bodong Chen, University of Pennsylvania; Leanne Ma, University of Toronto; Ben Peebles, University of Toronto - OISE
The Role of Data Literacy in the Convergence and Divergence of Reasoning Criteria Between Social Groups (Poster 11) - Ilana Dubovi, Tel Aviv University; Iris Tabak, Ben-Gurion University of the Negev