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Turrin, Margie – Science Teacher, 2015
Data and data analysis are central to science and the complex world in which people live. Students need to practice working with data--addressed in the "Next Generation Science Standards" (NGSS Lead States 2013)--starting with small, self-collected data sets and moving on to larger, remotely collected data assemblages. Small data sets…
Descriptors: Science Education, Data Collection, Data Analysis, Experiential Learning
Wagler, Amy; Wagler, Ron – Science Teacher, 2014
Every high school graduate should be able to use data analysis and statistical reasoning to draw conclusions about the world. Two core statistical concepts for students to understand are the role of variability in measures and evaluating the effect of a variable. In the activity presented in this article, students investigate a scientific question…
Descriptors: High School Graduates, Data Analysis, Statistical Analysis, Inferences
Poli, Maria-Serena; Capodivacca, Marco – Science Teacher, 2011
Continental margins are an important part of the ocean floor. They separate the land above sea level from the deep ocean basins below and occupy about 11% of Earth's surface. They are also economically important, as they harbor both mineral resources and some of the most valuable fisheries in the world. In this article students investigate North…
Descriptors: Topography, Oceanography, Investigations, Earth Science
Pardo, Richard; Parker, Jennifer – Science Teacher, 2010
In the lesson presented in this article, students learn to organize their thinking and design their own inquiry experiments through careful observation of an object, situation, or event. They then conduct these experiments and report their findings in a lab report, poster, trifold board, slide, or video that follows the typical format of the…
Descriptors: Inquiry, Active Learning, Scaffolding (Teaching Technique), Units of Study

Soroka, Leonard G. – Science Teacher, 1990
Developed is a classroom activity that illustrates the scientific method. The importance of observation, interpretation, and prediction is discussed. The activity uses pictures of the surface of Mars. (KR)
Descriptors: Astronomy, Data Collection, Misconceptions, Observation