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Hardy, Lisa; Dixon, Colin; Van Doren, Seth; Hsi, Sherry – Science Teacher, 2022
In science classrooms, students usually see and work with data that's intended to tell them right away about the natural world. Students then often treat the data we provide to them as factual, rather than as a source of evidence (Duschl 2008; Sandoval and Millwood 2005; Berland and Reiser 2009; McNeill and Berland 2017; Hancock, Kaput, and…
Descriptors: Data Collection, Data Analysis, Science Experiments, High School Students
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Rosenburg, Joshua; Edwards, Alex; Chen, Bodong – Science Teacher, 2020
Analyzing and interpreting data is essential to the practice of scientists and is also an essential science and engineering practice for science teaching and learning. Although working with data has benefits for student learning, it is also challenging, particularly with respect to aspects of work with data that are not yet very common in schools,…
Descriptors: Science Instruction, Data Analysis, Teaching Methods, Data Collection
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Kelly, Susan Meabh – Science Teacher, 2021
Thanks to the development and deployment of federally funded satellite-, buoy-, and aircraft-based remote sensing instruments, continuous streams of Earth and space data are publicly available via online databases. This accessibility provides flexibility to explore geoscience data that are interesting and relevant to students--keystone components…
Descriptors: Earth Science, Databases, Data Analysis, STEM Education
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Tebeck, Claudette – Science Teacher, 2021
School closures in the wake of the COVID-19 pandemic led to kids asking pertinent questions about why they were not in school, especially some students suffering financial hardship. Virtual classrooms became the mundane venues for students to piece together the pandemic puzzle and unpack unseen inequities. This article examines disparities that…
Descriptors: COVID-19, Pandemics, Racial Differences, Science Instruction
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Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
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Hammett, Amy; Dorsey, Chad – Science Teacher, 2020
To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…
Descriptors: Data Analysis, Problem Solving, Student Projects, Active Learning
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Reed, Megan H.; Jenkins, Tom; Kenyon, Lisa – Science Teacher, 2019
Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…
Descriptors: Natural Resources, Biodiversity, Grade 9, Ecology
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Finzer, William; Busey, Amy; Kochevar, Randy – Science Teacher, 2018
Data-driven inquiry as a science practice and instructional approach can provide a powerful context for project-based learning (PBL). Students engage in data-driven inquiry when they explore a rich data set and observe patterns, ask questions suggested by the data, and pursue answers about underlying phenomena. Krajcik (2015) describes five…
Descriptors: Science Instruction, Teaching Methods, Data Analysis, Maps
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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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Clary, Renee; Wandersee, James – Science Teacher, 2014
Renee Clary and James Wandersee implemented the Stratigraphy and Data Interpretation Project described in this article when they recognized that some students were having difficulties constructing appropriate graphics and interpreting their constructed graphics for an earlier mathematics-science project in their classrooms. They also previously…
Descriptors: Science Instruction, Graphs, Data Analysis, Freehand Drawing
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Lederman, Judith; Gnanakkan, Dionysius; Bartels, Selina; Lederman, Norman – Science Teacher, 2015
Many students enter high school with some science knowledge and experience doing investigations but often know little about the nature of science (NOS) or how the knowledge is developed (i.e., science practices). As science teachers, we need to get students excited about science as quickly as possible with activities that introduce the practices…
Descriptors: Secondary School Science, High School Students, Science Instruction, Science Activities
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Webber, Hannah; Nelson, Sarah J.; Weatherbee, Ryan; Zoellick, Bill; Schauffler, Molly – Science Teacher, 2014
Data literacy is complex. When students investigate the natural world, they must be able to gather data, organize it in tables and spreadsheets, analyze it in context, and describe and interpret it--usually as evidence to support a scientific argument. These skills are echoed in the science and engineering practices of the "Next Generation…
Descriptors: Science Instruction, Graphs, Science Process Skills, Data Analysis
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Saunders, Cheston; Taylor, Amy – Science Teacher, 2014
Pollution is not a problem we just read about anymore. It affects the air we breathe, the land we live on, and the water we consume. After noticing a lack of awareness in students, a lesson was developed that used Google Earth to pinpoint sources of pollution in the local area and in others across the country, and their effects on the surrounding…
Descriptors: Pollution, Educational Technology, Ecology, Misconceptions
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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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Hill, Bradford – Science Teacher, 2013
Many high school physics courses have deemphasized mathematics, which has changed the nature and role of the inquiry experiments in them. This article lays out an approach built upon an introductory unit, "Patterns in Nature," which aims to engage students in constructing their understanding of physics through contextualizing and…
Descriptors: Science Instruction, Secondary School Science, High Schools, Physics
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