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Sami, Jasmine B.; Stein, Zachary; Sinclair, Krystin; Medsker, Larry – Journal of STEM Education: Innovations and Research, 2020
Members of the Data Science Program at George Washington University (GWU) designed and implemented a tuition-free two-week summer camp at GWU for high-school students from the Washington Metro Area. The United States Department of Agriculture (USDA) Office of the Chief Information Officer and his staff were our main partners in the project. The…
Descriptors: Data, Data Analysis, Information Utilization, High School Students
Dierker, Lisa; Ward, Nadia; Alexander, Jalen; Donate, Emmanuel – Journal of Education and Training Studies, 2017
Background: Upward trends in data-oriented careers threaten to further increase the underrepresentation of both females and individuals from racial minority groups in programs focused on data analysis and applied statistics. To begin to develop the necessary skills for a data-oriented career, project-based learning seems the most promising given…
Descriptors: High School Students, Disproportionate Representation, Story Telling, Data
Sturner, Kelly; Lucci, Karen – American Biology Teacher, 2015
This inquiry-based activity for high school students introduces concepts of ecology and the importance of data analysis to science. Using an investigative case, students generate independent questions about birds, access Cornell Lab of Ornithology online resources to collect data, organize and graph data using Excel, and make claims based on…
Descriptors: Data, Data Analysis, Science Process Skills, Ornithology
Erwin, Robin W., Jr. – American Secondary Education, 2015
The achievement of deep learning by secondary students requires teaching approaches that draw students into task commitment, integrated curricula, and analytical thinking. By using real-world data sets in project based instructional units, teachers can guide students in analyzing, interpreting, and reporting quantitative data. Working with…
Descriptors: Literacy, Data, Problem Solving, Problem Sets

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