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Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
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Çelik, Harun; Pektas, Hüseyin Miraç – International Journal of Science and Mathematics Education, 2017
A one-group quasi-experimental design and survey methodology were used to investigate the effect of virtual laboratory practices on preservice teachers' (N = 29) graphic comprehension and interpretation skills with different learning approaches. Pretest and posttest data were collected with the Test of Understanding Kinematic Graphs. The Learning…
Descriptors: Preservice Teachers, Learning Strategies, Graphs, Skill Analysis
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Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation
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Malamitsa, Katerina; Kokkotas, Panagiotis; Kasoutas, Michael – Science Education International, 2008
In contemporary academic literature and in many national curricula, there is a widespread acceptance that critical thinking should be an important dimension of Education. Teachers and researchers recognize the importance of developing students critical thinking, but there are still great difficulties in defining and assessing critical-thinking…
Descriptors: Delphi Technique, Reading Comprehension, Foreign Countries, Critical Thinking
Dibble, Emily; Shaklee, Harriet – 1992
To study how the organization of information affects the way that information is interpreted, a total of 404 undergraduates in two studies (151 and 253 students, respectively) solved statistical reasoning problems based on data presented in a variety of types of graphs and tables. When assessing relative probabilities, students were equally…
Descriptors: Causal Models, Data Interpretation, Graphs, Higher Education
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Preece, Jenny; Janvier, Claude – School Science and Mathematics, 1992
Reports a study to examine the role of context on the ability to interpret graphs. Graph tests involving 2 ecological contexts were presented to 14- and 15-year-old students (n=23) in the form of an interview. Results indicated how students used their contextual knowledge in interpreting the graphs. (MDH)
Descriptors: Cognitive Processes, Cognitive Style, Context Effect, Data Interpretation
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Pittenger, David J. – Teaching of Psychology, 1995
Maintains that preparing graphs is an essential part of data analysis and representation. Asserts that, although psychologists use graphs extensively, most textbooks provide limited techniques for designing graphs. Reviews research on graphical techniques and includes recommended articles on the topic. (CFR)
Descriptors: Charts, Classroom Techniques, Data Analysis, Data Interpretation
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Burson, George – OAH Magazine of History, 1990
Stresses developing students' interpretive skills, geography knowledge, and ability to read and understand statistics. Argues that computer accessibility makes possible innovative use of charts and graphs for secondary history teachers. Notes data may be printed out and used as teaching tools. Presents five teacher-produced graphs and provides…
Descriptors: Abstract Reasoning, Charts, Class Activities, Computer Assisted Instruction
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Dixon, Juli K.; Falba, Christy J. – Mathematics Teaching in the Middle School, 1997
Describes five activities using the World Wide Web that teach students to experience searching, locating, and organizing data. Students learn to summarize statistics, analyze data, make conjectures, and communicate information. They interpret or create bar graphs, line graphs, histograms, and circle graphs. (PVD)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Critical Thinking, Data Interpretation