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Learning to Swim: The transition from data desert to deluge in undergraduate biology education

Mar 27, 2015

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Learning to Swim: The transition from data desert to deluge in undergraduate biology education Slide 2 Nature of science in policy documents undergraduates need to understand the process of science, the interdisciplinary nature of the new biology, and how science is closely integrated within society. Students also should be competent in communication and collaboration, as well as have a certain level of quantitative competency, and a basic ability to understand and interpret data. Vision and Change: A Call to Action (2011) Slide 3 William Harris http://science.howstuffworks.com/innovation/scientific-experiments/scientific-method6.htm Slide 4 Public Perception of Science Paul Vallett http://electroncafe.wordpress.com/2011/05/04/scientific-process-rage/ Slide 5 Science In Reality Paul Vallett http://electroncafe.wordpress.com/2011/05/04/scientific-process-rage/ Slide 6 http://undsci.berkeley.edu/lessons/pdfs/alvarez_woflow.pdf Slide 7 Cornell Lab of Ornithology - Online Research in Biology Slide 8 Ecological Society & Science Pipes Data for the Ecology Classroom Slide 9 Rocky Mountain Biological Lab - Bringing a Field Station Into the Classroom Slide 10 Claudia Neuhauser - UMN Slide 11 CUREnet Course-based Undergraduate Research Experiences NSF Research Coordination Network Erin Dolan and Dave Micklos First meeting this February Slide 12 Open Questions How do you manage classrooms to take advantage of scientific data and support student inquiry? What are data literacy skills? What skills does the teacher need? What do students need? What types of resources should projects provide Instructional resources Professional development Assessment models Slide 13 Data Life Cycle Slide 14 Core Competencies for Data Information Literacy Introduction to Databases and Data Formats Discovery and Acquisition of Data Data Management and Organization Data Conversion and Interoperability Quality Assurance Metadata Data Curation and Re-use Cultures of Practice Data Preservation Data Analysis Data Visualization Ethics, including citation of data Determining Data Information Literacy Needs: A Study of Students and Research Faculty Jacob Carlson, Michael Fosmire, C.C. Miller, and Megan Sapp Nelson Slide 15 Model for Data Literacy Skills in Science and Science Education FIGURE 1 A diagrammatic representation of how scientific data literary skills play an important role in science and science education. Slide 16 Model for Teaching Scientific Data Literacy Skills Figure 2: A diagrammatic representation of a Data Skills Unit. The unit is made up of three elements: -Learning Objectives -Instructional Strategies -Performance Assessments