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Theerapong Binali; Ching-Hwa Chang; Yen-Jung Chang; Hsin-Yi Chang – Science & Education, 2024
This study surveyed 183 college and senior high school students' graph-interpretation competence in scientific and daily contexts. Specifically, whether students' graph interpretation in scientific and daily contexts differed across educational levels was investigated. Furthermore, the questions of whether students' graph interpretation competence…
Descriptors: College Students, High School Seniors, Graphs, 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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Wang, Hong-Syuan; Chen, Sufen; Yen, Miao-Hsuan – Physical Review Physics Education Research, 2021
This study aims to examine the effectiveness of metacognitive scaffolding in different inquiry tasks related to optics. Two high school classes participated in this study. One class, the treatment group (n = 33), which integrated metacognitive prompts into the simulation-based inquiry, was compared to the other class, the control group (n = 34),…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Science Process Skills, Teaching Methods
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Maltese, Adam V.; Svetina, Dubravka; Harsh, Joseph A. – Journal of College Science Teaching, 2015
In the STEM fields, adequate proficiency in reading and interpreting graphs is widely held as a central element for scientific literacy given the importance of data visualizations to succinctly present complex information. Although prior research espouses methods to improve graphing proficiencies, there is little understanding about when and how…
Descriptors: STEM Education, Visualization, Data Interpretation, Graphs
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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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Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis
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Glazer, Nirit – Studies in Science Education, 2011
With the growing emphasis on the development of scientific inquiry skills, the display and interpretation of data are becoming increasingly important. Graph interpretation competence is, in fact, essential to understanding today's world and to be scientifically literate. However, graph interpretation is a complex and challenging activity. Graph…
Descriptors: Science Process Skills, Graphs, Data Interpretation, Scientific Literacy
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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
Rushton, Erik; Ryan, Emily; Swift, Charles – 2001
Many of today's popular sports are based around the use of a ball yet none are alike. In fact, they are all designed with specific characteristics in mind. In this activity, students investigate different balls' ability to bounce and represent the data they collect graphically. This activity uses a time frame of 100 minutes. (Author/SOE)
Descriptors: Critical Thinking, Data Analysis, Data Interpretation, Elementary Education