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Showing 1 to 15 of 21 results Save | Export
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Vecchio, Sandra – Teaching Science, 2021
As the number of jobs in the science, technology, engineering, mathematics (STEM) workforce grows exponentially, there has never been a more important time to provide students with real-world learning opportunities that have 21st century implications. Measuring things that matter is a fundamental skill that formulates the backbone of many concepts…
Descriptors: STEM Education, Science Instruction, Food, Wastes
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Lindquist, William; Forsberg, Britt – Science and Children, 2014
One author shares the unique opportunity to be immersed in the science of "sound at work" through participation in NOAA's (National Oceanic and Atmospheric Administration) Teacher at Sea Program. A third- through fifth-grade learning outcome within the Nature of Science section of the "Next Generation Science Standards"…
Descriptors: Acoustics, Instructional Innovation, Science Course Improvement Projects, Teaching Methods
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Blatt, Erica – Science Activities: Classroom Projects and Curriculum Ideas, 2013
This inquiry-based activity designed for the fifth through 12th grade allows students to engage in an outdoor, place-based experience, working collaboratively both in groups and as a class to accomplish the class goal of creating a local tree map linked to student-collected data about each tree. During Local Tree Mapping, students explore the…
Descriptors: Outdoor Education, Place Based Education, Inquiry, Cooperative Learning
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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
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Galus, Pamela – Science Teacher, 2001
Using movie scenes about being trapped in quicksand as a starting point, this inquiry-oriented lesson engages students in a novel study of density. Students collect and graph data collected on a variety of objects placed in a mixture of sand and water. From their findings, students consider misconceptions about quicksand and its real dangers. (DLH)
Descriptors: Data Collection, Density (Matter), Graphs, Inquiry
Laney, James D. – Southern Social Studies Quarterly, 1986
This article provides directions for teaching intermediate grade level children about the history which can be learned by studying old cemeteries. A sample handout for student data collection is included. (JDH)
Descriptors: Data Collection, Elementary Education, Information Seeking, Inquiry
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Leonard, William H. – American Biology Teacher, 2003
Describes a science activity entitled "Investigating Fermentation," which uses a digital camera for data collection purposes. Uses a standards-based inquiry approach and explains the procedure. (YDS)
Descriptors: Biology, Data Collection, Educational Technology, High Schools
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Seveyka, Jerred; Shigeoka, Cassie A.; Bavis, Ryan W. – American Biology Teacher, 2000
Discusses procedures for investigating animal motion and makes suggestions for conducting a field or laboratory experiment using video. Recommends using nature videos to perform motion analysis. (YDS)
Descriptors: Animals, Data Collection, Inquiry, Laboratories
Ready, Diane E. – Hands On!, 2001
Describes the Concorde model and its training sessions, which are funded by the U.S. Department of Education, for the professional development of mathematics teachers. Uses practical data collection and analysis to improve student learning. (YDS)
Descriptors: Cooperative Learning, Data Collection, Elementary Secondary Education, Inquiry
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Spurlin, Quincy – Science and Children, 1995
Modifies the "What's in a Bag?" activity to effectively and engagingly demonstrate the nature of science. Describes each step of the activity and lists necessary materials. Shows students that, like scientists, their scientific models change as more data are gathered and incorporated into what is already known. (NB)
Descriptors: Data Collection, Elementary Education, Hands on Science, Inquiry
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Phillips, Katherine A.; Germann, Paul J. – American Biology Teacher, 2002
Describes the Inquiry "I" which is designed as a learning tool for scientific inquiry. Explains the steps of prior knowledge, logical argument, experimental design, procedure, data collection, data transformation, results, and new knowledge. Uses guided and open inquiry approaches. (YDS)
Descriptors: Concept Formation, Data Collection, Higher Education, Inquiry
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Favero, Terry – American Biology Teacher, 1998
Recommends that teachers avoid cookbook-type exercises and predescribed protocols for laboratory work and instead engage students in research that can teach critical thinking, problem solving, and analytical skills. (DDR)
Descriptors: Data Collection, Educational Strategies, Higher Education, Inquiry
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Rye, James A. – Science Teacher, 1997
Details an investigation concerned with the composition of a grape to illustrate how food and nutrition topics can drive inquiry-oriented science learning. Students design experiments that surround the development of a fictitious new beverage. (DDR)
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Food
Dana, Nancy Fichtman; Yendol-Silva, Diane – 2003
This how-to guide to classroom inquiry takes educators through the process step-by-step, from beginning to end, answering critical questions on developing the research plan, collecting and analyzing the data, and writing and publishing the results. Seven chapters include: (1) "Teacher Inquiry Defined" (e.g., what teacher inquiry is and how it…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Educational Research
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Alcock, James – Journal of Geological Education, 1994
Explains how controlling student access to data can be used as a strategy enabling students to take the role of a research geologist. Students develop models based on limited data and conduct field tests by comparing their predictions with the additional data. (DDR)
Descriptors: College Curriculum, Course Content, Data Analysis, Data Collection
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