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Dobson, Amy; Feldman, Allan; Nation, Molly; Laux, Katie – Science Teacher, 2019
In 2018 the Gulf coast of Florida suffered extensive damage from harmful algal blooms (HABs), from as far north as Clearwater Beach south to Naples. The bloom lasted nearly a year, picking up in intensity during the late summer months. HABs occur when conditions such as reduced salinity, higher water temperatures, light saturation, and currents…
Descriptors: Climate, Oceanography, Inquiry, Water
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Forster, Michelle; Bestelmeyer, Stephanie; Baez-Rodriguez, Noelia; Berkowitz, Alan; Caplan, Bess; Esposito, Rhea; Grace, Elizabeth; McGee, Steven – Science Teacher, 2018
Thousands of students around the country have participated in activities using the Data Jam model, creating poetry, songs, videos, or sculpture to improve their data literacy, gain knowledge of local science research, and creatively express their findings. This article introduces the Data Jam model and describes how teachers can use it in…
Descriptors: Information Literacy, Scientific Literacy, Science Activities, Science Instruction
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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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Ramsey, Linda; Deese, W. C.; Cox, Cathi – Science Teacher, 2007
A typical card sort is an activity in which students are given a set of cards with a single concept written on each card and asked to organize the cards by grouping related concepts. The nontraditional card sorts described in this article foster critical thinking and add elements of inquiry as students use them to develop flowcharts for complex…
Descriptors: Laboratory Procedures, Critical Thinking, Science Instruction, Scientific Concepts
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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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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