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Award ID contains: 2101413

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  1. ; ; ; ; (, ISLS Repository)
    Free, publicly-accessible full text available June 10, 2026
  2. ; (, ISLS Repository)
    Free, publicly-accessible full text available June 10, 2026
  3. ; ; ; ; (, ISLS Repository)
    Free, publicly-accessible full text available June 10, 2026
  4. ; ; (, Journal of Statistics and Data Science Education)
    Free, publicly-accessible full text available May 16, 2026
  5. ; (, AERA 2024 Annual Meeting)
    Data literacy is increasingly relevant to everyday life and is a priority for educators across disciplinary boundaries. This study introduces a framework for characterizing data literacy instrucFon along five key dimensions. It then applies this framework to examine instances of data literacy instrucFon like explanaFons of data-related concepts and tasks/quesFons that invite learners to acFvely engage in data-related pracFces in a sample of lessons from a science and social studies high school textbook. By juxtaposing findings from science and social studies contexts, it examines how these disciplinary approaches compare with each other and idenFfies areas where these approaches could expand and build on each other to support more effecFve and holisFc data literacy development. 
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  6. ; ; ; ; (, AERA 2023 Annual Conference)
    Data science is increasingly relevant to daily life and has garnered significant attention in education. While data science education has been traditionally focused on technical training, justice considerations are increasingly brought up given growing concerns over fairness and justice in data science. This paper introduces a framework for justice-oriented data science education that comprises five areas grounded in a broad range of literature. To explore and refine the framework in authentic contexts, we applied it to discourse data from one participatory design workshop with teachers. Analysis demonstrated the presence of this framework’s areas and their rich connections in teachers’ thinking. The framework offers educators a tool to integrate data science, justice issues, and disciplinary content in K-12 classrooms. 
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