Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 23 |
Since 2006 (last 20 years) | 64 |
Descriptor
Source
Science Teacher | 81 |
Author
Busey, Amy | 2 |
Feldman, Allan | 2 |
Huffling, Lacey | 2 |
Kochevar, Randy | 2 |
Krumhansl, Ruth | 2 |
Abbott, Cheryl | 1 |
Aguirre, Mary | 1 |
Baez-Rodriguez, Noelia | 1 |
Baker, Irene | 1 |
Barker, Barbara J. | 1 |
Bartels, Selina | 1 |
More ▼ |
Publication Type
Journal Articles | 81 |
Reports - Descriptive | 81 |
Guides - Classroom - Teacher | 9 |
Opinion Papers | 1 |
Education Level
High Schools | 47 |
Secondary Education | 29 |
Elementary Secondary Education | 6 |
Grade 11 | 4 |
Grade 9 | 4 |
Middle Schools | 3 |
Grade 10 | 2 |
Grade 12 | 2 |
Higher Education | 2 |
Junior High Schools | 2 |
Grade 8 | 1 |
More ▼ |
Audience
Teachers | 36 |
Practitioners | 1 |
Students | 1 |
Location
Florida | 3 |
Maine | 3 |
New York | 3 |
Alaska | 2 |
California (Los Angeles) | 1 |
Illinois (Chicago) | 1 |
Iowa | 1 |
Massachusetts | 1 |
Mexico | 1 |
Nebraska | 1 |
Nevada | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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
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
Burns, Karolyn; Molina-Castrillón, Diego – Science Teacher, 2023
Historically, science education has not adequately addressed the concerns and values of BIPOC individuals and women, especially those who fall into both categories. One way that educators are addressing this disparity is by incorporating social justice into their curricula. Climate change is one of today's most pressing issues, and youth have much…
Descriptors: Science Education, Climate, Social Justice, Pollution
Mattox, Stephen R.; Duda, Stephanie – Science Teacher, 2022
Permafrost is any soil or surface deposit in an Arctic or alpine region at some depth below the surface at which the temperature has remained below zero degrees Celsius (32 degrees Fahrenheit) continuously for a long period of time. The amount of carbon dioxide and methane stored in permafrost is nearly twice the amount in the atmosphere and, as…
Descriptors: Models, Scientific Concepts, Earth Science, Science Activities
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
Countryman, Lyn – Science Teacher, 2019
There is clear scientific evidence linking climate change to human activity. Despite this, we still find numerous public figures claiming there is no climate change, or that climate change data is "fake news." Societal polarization around climate change (Worland 2017; Pernett 2017; McCright and Dunlap 2011) can provide students with…
Descriptors: Climate, Science Teachers, Science Instruction, Data
Lund, Alana; Roemmele, Christopher; Roetker, Lisa; Smith, Steven – Science Teacher, 2018
The study of earthquakes can help students build connections between theoretical analysis and real-world applications. However, units on earthquakes typically struggle to bridge that gap between theory and application. Traditional class activities focus on measuring earthquakes, such as triangulating epicenters by analyzing P and S wave arrival…
Descriptors: Seismology, Emergency Programs, Science Activities, Teaching Methods
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
Odom, Arthur – Science Teacher, 2022
This article provides two activities, exploring genetic drift of small breeding populations, highlighting the black-footed ferret ("Mustela nigripes"). According to the U.S. Fish and Wildlife service, all black-footed ferrets are descended from 18 individuals, making them extremely vulnerable to genetic drift. They were thought to be…
Descriptors: Genetics, Mathematical Models, Biodiversity, Evolution
Swanson, Lauren; Vernon, Heather; Bauer, Christina – Science Teacher, 2018
Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…
Descriptors: Data Interpretation, Scientific Principles, Science Instruction, Science Activities
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
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
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
Huffling, Lacey; Scott, Heather; Weeks, Melissa; Johnson, Hayward; Gantt, Britt; Collins, Regina – Science Teacher, 2021
The lesson set in this article describes an introductory learning experience using wildlife camera-based citizen science projects hosted on Zooniverse (http://www.zooniverse.org). Wildlife camera projects were chosen due to the charisma of the study organisms, student engagement while looking at images, ease of access to projects, ease of teaching…
Descriptors: Science Instruction, Teaching Methods, Animals, Academic Language