Learning to Swim: The transition from
data desert to deluge in
undergraduate biology education
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)
William Harrishttp://science.howstuffworks.com/innovation/scientific-experiments/scientific-method6.htm
Public Perception of Science
Paul Valletthttp://electroncafe.wordpress.com/2011/05/04/scientific-process-rage/
Science In Reality
Paul Valletthttp://electroncafe.wordpress.com/2011/05/04/scientific-process-rage/
http://undsci.berkeley.edu/lessons/pdfs/alvarez_woflow.pdf
Cornell Lab of Ornithology - Online Research in Biology
Ecological Society & Science Pipes – Data for the Ecology Classroom
Rocky Mountain Biological Lab - Bringing a Field Station Into the Classroom
Claudia Neuhauser - UMN
CUREnet – Course-based Undergraduate Research Experiences
• NSF – Research Coordination Network• Erin Dolan and Dave Micklos• First meeting this February
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
Data Life Cycle
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 dataDetermining Data Information Literacy Needs: A Study of Students
and Research FacultyJacob Carlson, Michael Fosmire, C.C. Miller, and Megan Sapp Nelson
Model for Data Literacy Skills in Science and Science Education
FIGURE 1A diagrammatic representation of how scientific data literary skills play an important role in science and science education.
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