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1、learning to swim: the transition from data desert to deluge in undergraduate biology educationnature 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. student
2、s 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:/ perception of sciencepaul valletthttp:/ in realitypaul valle
3、tthttp:/ lab of ornithology - online research in biologyecological society & science pipes data for the ecology classroom rocky mountain biological lab - bringing a field station into the classroom claudia neuhauser - umncurenet course-based undergraduate research experiences nsf research coordi
4、nation network erin dolan and dave micklos first meeting this februaryopen questionshow 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 p
5、rojects provide instructional resources professional development assessment modelsdata life cyclecore competencies for data information literacyintroduction to databases and data formatsdiscovery and acquisition of datadata management and organizationdata conversion and interoperabilityquality assur
6、ancemetadatadata curation and re-usecultures of practicedata preservationdata analysisdata visualizationethics, including citation of datadetermining data information literacy needs: a study of students and research facultyjacob carlson, michael fosmire, c.c. miller, and megan sapp nelsonmodel for data literacy skills in science and science educationfigure 1a diagrammatic representation of how scientific data literary skills play an important role in science and science education.model for teaching scientific data literacy skillsfigure 2: a diagrammatic representation of a data skills unit.
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