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Resources and Reflections: Using Data in Undergraduate Geosciences

Explore the importance of engaging undergraduates with data in STEM education, the range of current practices, and recommendations for digital libraries and data providers.

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Resources and Reflections: Using Data in Undergraduate Geosciences

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  1. Resources and Reflections: Using Data in Undergraduate Geosciences Cathy Manduca SERC Carleton College DLESE Annual Meeting 2003

  2. Four Resources • Using Data in Undergraduate Science Courses: Report from an Interdisciplinary Workshop • NSDL Using Data Specialized Portal • On the Cutting Edge Professional Development Program • Using Data Workshop • GSA Special Session • Starting Point--Teaching with Models SERC

  3. Using Data Workshop • What do we mean by data? • Why is engaging students with data an important aspect of STEM education? • What is range of current practices? • What do we know about how well these practices work? • What recommendations for digital libraries, data providers and on-line resource developers follow from this discussion?

  4. Why is it important ? • Real world complex problems • Use scientific methods • Critically evaluate validity of data and strength of conclusions • Quantitative skills, technical methods, scientific concepts; Communication skills • Values and ethics of working with data

  5. Using Data Workshop • What do we mean by data? • Why is engaging students with data an important aspect of STEM education? • What is range of current practices? • What do we know about how well these practices work? • What recommendations for digital libraries, data providers and on-line resource developers follow from this discussion?

  6. What is range of current practices? • To illustrate concepts or ideas • To enable student investigations • Students collect and interpret their own data often in the context of a larger data set or model • Students use existing data sets to answer questions, often asking their own new questions • Students collect data, develop a model of processes at work, and test the relationship between model predictions and observed data

  7. Kinds of activities • Open-ended activities that encourage students to ask questions of the data in order to discover patterns and relationships as a basis for understanding scientific processes or concepts • Activities that address a real, often complex problem to foster an understanding of scientific concepts and their application to the world around us • Activities that use analytic mathematical models, computer models or simulations to help students discover functions that describe data and the behavior of complex systems under varying conditions • Guided interpretation of data, testing of hypotheses, and making predictions • Activities that replicate or simulate documented scientific investigations to lead students to an understanding of fundamental scientific observations or principles

  8. Using Data Workshop • What do we mean by data? • Why is engaging students with data an important aspect of STEM education? • What is range of current practices? • What do we know about how well these practices work? • What recommendations for digital libraries, data providers and on-line resource developers follow from this discussion?

  9. Recommendations for Developers • Students need to be able to: • Find and access data relevant to the topic they are investigating • Evaluate the quality of this data • Manipulate data to answer questions • Combine data sets to solve a central problem • Generate visualizations and representations that communicate interpretations and conclusions • Contribute student data to larger data sets • View individual student data in the context of larger data sets.

  10. NSDL Using Data Portal • Data sets, tools, activities, pedagogy, examples, discussion, issues • All the things a faculty member needs to help teach effectively with data in one place (a thematic collection) • Began with NSDL workshop/Major collection effort as part of On the Cutting Edge project SERC

  11. On the Cutting Edge • Using Data Workshop • What do we learn from research on learning? • What do we learn from research in the geosciences? • Effective practices • Assessment of tools and learning • Examples • Using Data Special Session • Collecting more examples-late submissions welcome SERC

  12. Starting Point: Teaching Entry Level Geoscience • Linking pedagogy and content • Organized by instructional method or topic • What, why, how, references for each method • Examples that span the geosciences SERC

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