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Burton, Erin Peters; Rich, Peter; Cleary, Timothy; Burton, Stephen; Kitsantas, Anastasia; Egan, Garrett; Ellsworth, Jordan – Science Teacher, 2020
Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article…
Descriptors: Computation, Thinking Skills, Data Collection, Data Analysis
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Grasty, Sarah – Science Teacher, 2020
Fisheries scientists make sure that fish populations ("fisheries") are managed properly, neither over- or under-utilized, to maintain long-term economic and ecological stability. Scientists collect data and conduct surveys to determine fish populations, and then make recommendations about how many fish may be caught by commercial and…
Descriptors: Ichthyology, Animal Husbandry, Science Process Skills, Data Collection
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Fick, Sarah J. – Science Teacher, 2017
One way to tackle climate misconceptions is to have students work with data to show how the climate is changing in their local community. The National Oceanic and Atmospheric Administration (NOAA) has weather stations nationwide that collect data on air temperature and precipitation that are freely available online. This article describes a lesson…
Descriptors: Climate, Weather, Data Collection, Science Process Skills
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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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Givot, Rima; O'Connell, Kari; Hadley, Adam S.; Betts, Matthew G. – Science Teacher, 2015
The decline in hummingbird populations and shifts in their movements may adversely affect their role as pollinators and, in turn, plant biodiversity (Allen-Wardell et al. 1998). For example, Hadley et al. (2014) discovered that larger fragments of forest correlated with larger hummingbird populations and more seeds of "H. tortuosa" being…
Descriptors: Citizen Participation, Science Education, Student Participation, Scientific Research
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Busey, Amy; Krumhansl, Ruth; Mueller-Northcott, Julianne; Louie, Josephine; Kochevar, Randy; Krumhansl, Kira; Zetterlind, Virgil – Science Teacher, 2015
Scientific research is undergoing a "big data" revolution, as probes deployed in oceans, the atmosphere, and outer space provide near real-time data streams. As more and more data sets such as Ocean Tracks become available online, opportunities to engage students in the "Next Generation Science Standards" (NGSS Lead States…
Descriptors: Data Collection, Data Analysis, Oceanography, Marine Biology
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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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Christensen, Art; Christian, Barbara – Science Teacher, 1997
Provides background information on the Science Education Quantitative Literacy (SEQL) project that is designed to enhance student laboratory experiences by working together on data collection and analysis. Includes details of an activity from the project curriculum on how many drops of water can be placed on a penny. (DDR)
Descriptors: Data Analysis, Data Collection, Educational Strategies, Elementary Secondary Education