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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
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Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2023
Both graph comprehension and data analysis and interpretation are influenced by one's prior knowledge and experiences. To understand how one's prior knowledge and experiences interact with their analysis of a graph, we conducted think-aloud interviews with general chemistry students as they interpreted a graph to determine optimal conditions for…
Descriptors: Graphs, Data Analysis, Data Interpretation, Science Process Skills
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Xinyun Zhao; Tsunghsueh Wu; Xi Chen; Lamei Wu; Zhongqiang Zhou – Journal of Chemical Education, 2023
An inquiry-based learning approach was implemented into comprehensive organic chemistry experiments focusing on the formation process of N-phenylbenzamide from the reaction between N-benzylideneaniline and benzoyl peroxide in commercial dimethyl sulfoxide. Students conducted comparative experiments using alternative reagents or reaction conditions…
Descriptors: Undergraduate Students, College Science, Organic Chemistry, Science Laboratories
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Jin, Hui; Hokayem, Hayat; Cisterna, Dante – Research in Science & Technological Education, 2023
Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…
Descriptors: Scientists, Science Teachers, Elementary School Teachers, Secondary School Teachers
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Ching, Cynthia Carter; Hagood, Danielle – Journal of Science Education and Technology, 2019
This paper connects the technological practice of activity monitor gaming to the Next Generation Science Standards (NGSS) science and engineering practice of "analyzing and interpreting data," and to the foundational constructionist idea of personal meaning. In our larger study, eighth-grade students, ages 12-14, wore physical activity…
Descriptors: Middle School Students, Grade 8, Educational Games, Academic Standards
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Sorte, Cascade J. B.; Aguilar-Roca, Nancy M.; Henry, Amy K.; Pratt, Jessica D. – CBE - Life Sciences Education, 2020
Science instructors are increasingly incorporating teaching techniques that help students develop core competencies such as critical-thinking and communication skills. These core competencies are pillars of career readiness that prepare undergraduate students to successfully transition to continuing education or the workplace, whatever the field.…
Descriptors: Mentors, Program Effectiveness, Data Analysis, Data Interpretation
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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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Delen, Ibrahim; Krajcik, Joseph – International Journal of Science Education, 2015
Explanation studies underlined the importance of using evidence in support of claims. However, few studies have focused on students' use of others' data (second-hand data) in this process. In this study, students collected data from a local water source and then took all the data back to the classroom to create scientific explanations by using…
Descriptors: Secondary School Science, Middle School Students, Grade 6, Science Process Skills
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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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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
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Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis
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Boose, David L. – Journal of College Science Teaching, 2014
Quantitative reasoning is a key intellectual skill, applicable across disciplines and best taught in the context of authentic, relevant problems. Here, I describe and assess a laboratory exercise that has students calculate their "carbon footprint" and evaluate the impacts of various behavior choices on that footprint. Students gather…
Descriptors: Nonmajors, Statistical Analysis, Data Collection, Computation
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Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
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DeLuca, V. William; Lari, Nasim – Journal of Technology Education, 2011
The purpose of this study was to determine the impact of using renewable energy data, obtained from a comprehensive data acquisition system, on improving students' learning and developing their higher-order learning skills. This study used renewable energy data available through a data acquisition system installed and tested by the Green Research…
Descriptors: Curriculum Development, Social Problems, Energy Conservation, Energy
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Pinou, Theodora; Flanigan, Hope A.; Drucker, Marjorie S. – Science and Children, 2009
Developing good record-keeping habits is essential for organizing, processing, and communicating experimental results objectively. Therefore, the authors designed an interactive method of teaching first graders to record, organize, and interpret data as they studied the life cycle of the spotted salamander ("Ambystoma maculatum"). In their…
Descriptors: Graphs, Grade 1, Developmental Stages, Water
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