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A Design Heuristic for Analyzing and Interpreting Data
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Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and…
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Data Science Meets Science Teaching
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Measuring Data Skills in Undergraduate Student Work
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Data literacy, or students’ abilities to understand, interpret, and think critically about data, is an increasing need in K–16 science education. Ocean Tracks College Edition (OT-CE) sought to address this need by…
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Using Proxy Data to Understand Climate History
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Small Instructional Changes to Emphasize Data Modeling Practices
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Data modeling practices are often invisible to students in introductory biology courses. However, developing a well-rounded understanding of these practices is critical for scientific literacy. Furthermore, introductory…
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Using Big Data to Understand the History of Planet Earth
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Data-Driven Science Vlogging for Connected Learning Anywhere
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A Model for a Data Analysis– and Literature-Intensive Undergraduate Course
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This article describes the use of literature to broaden students’ skills in content comprehension, data analysis, modeling, and productive scientific discussion. The design builds on existing models to maximize student…
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How Can We Better Move From Data to Meaning?
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Why Is Variability Worth the Teaching Challenge? (Data Literacy 101)
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