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Emery, Katherine; Harlow, Danielle; Whitmer, Ali; Gaines, Steven – Science Teacher, 2015
People are regularly confronted with environmental and science-related issues presented to them in newspapers, on television, or even in their own doctor's office. Often the information they use to inform their decisions on matters of science may be ambiguous and contradictory. This article presents an activity that investigates how students deal…
Descriptors: Science Education, Standards, Information Literacy, Data Analysis
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
Leege, Lissa M.; Schriver, Martha; Chassereau, Karen D. – Science Teacher, 2008
The "Under the Mistletoe" project was developed to capitalize on student curiosity about the American Christmas Mistletoe plant and draw learners into an engaging, inquiry-based exercise that incorporates numerous life science standards and collaborative research. By collecting data on host and nonhost tree size, location, and number of mistletoe…
Descriptors: Inquiry, Science Instruction, Plants (Botany), Scientific Research

Crump, Reva – Science Teacher, 1994
This activity uses ice crystals to introduce middle school and high school students to the collection, preparation, examination, and manipulation of scientific data. (PR)
Descriptors: Data Analysis, Data Collection, High Schools, Junior High Schools

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