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Swanson, Lauren; Vernon, Heather; Bauer, Christina – Science Teacher, 2018
Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…
Descriptors: Data Interpretation, Scientific Principles, Science Instruction, Science Activities
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Kastens, Kim; Krumhansl, Ruth; Baker, Irene – Science Teacher, 2015
This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…
Descriptors: Science Instruction, Data Collection, Data Analysis, Data Interpretation
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Gould, Roy; Sunbury, Susan; Dussault, Mary – Science Teacher, 2014
The "Next-Generation Science Standards" emphasize the importance of teaching the practices of science alongside content ideas and crosscutting concepts (NGSS Lead States 2013). Chief among these practices is the ability to gather, assess, analyze, and interpret data. Authentic inquiry near the leading-edge of science offers a wonderful…
Descriptors: Data, Data Analysis, Data Collection, Data Interpretation
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Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
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Patterson, Barbara – Science Teacher, 2012
Communities, Cameras, and Conservation (CCC) is the most exciting and valuable program the author has seen in her 30 years of teaching field science courses. In this citizen science project, students and community volunteers collect data on mountain lions ("Puma concolor") at four natural areas and public parks along the Front Range of Colorado.…
Descriptors: Ecology, Wildlife, Science Projects, Conservation (Environment)
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Stone, Jody – Science Teacher, 2007
With schools being asked to accomplish more and more, it is increasingly important to, whenever possible, address multiple goals in teaching. Educating the whole child dictates that we find ways to ensure our graduates are well-rounded, independent thinkers capable of becoming well-adjusted, contributing adults. Thus community service has become a…
Descriptors: Secondary School Curriculum, Testing, Pollution, Thinking Skills
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Bloomfield, Molly M.; And Others – Science Teacher, 1996
Presents an instructional framework for real-world, problem-based studies that can be used in a variety of settings. Discusses background knowledge, problem exposition, data collection and analysis, data synthesis and solution presentation, and career information. (JRH)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Elementary Secondary Education
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Palmer, Alfred C. – Science Teacher, 1986
Describes an activity for determining how long and when a tree lived by comparing its ring sizes with local precipitation records. Suggests benefits for this type of dendrochronology activity. (TW)
Descriptors: Climate, Data Analysis, Data Collection, Data Interpretation
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Lilly, Sherril L. – Science Teacher, 1989
Describes a two-day forensic science course that is offered to eighth grade students enrolled in Science, Mathematics, and Technology Magnet Schools. Provides sample student activity sheets for the course. (Author/RT)
Descriptors: Chemistry, Data Analysis, Data Collection, Data Interpretation