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Lem, Stephanie; Baert, Kathy; Ceulemans, Eva; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – Educational Psychology, 2017
The ability to interpret graphs is highly important in modern society, but has proven to be a challenge for many people. In this paper, two teaching methods were used to remediate one specific misinterpretation: the area misinterpretation of box plots. First, we used refutational text to explicitly state and invalidate the area misinterpretation…
Descriptors: Graphs, Teaching Methods, Misconceptions, Statistical Data
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Edwards, Thomas G.; Özgün-Koca, Asli; Barr, John – Journal of Statistics Education, 2017
Boxplots are statistical representations for organizing and displaying data that are relatively easy to create with a five-number summary. However, boxplots are not as easy to understand, interpret, or connect with other statistical representations of the same data. We worked at two different schools with 259 middle school students who constructed…
Descriptors: Middle School Students, Statistics, Mathematics Instruction, Secondary School Mathematics
Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsch-Pasek, Kathryn.; Newcombe, Nora S. – Grantee Submission, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, Naming
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Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsh-Pasek, Kathryn; Newcombe, Nora S. – Journal of Cognition and Development, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, School Readiness
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Wilkerson-Jerde, Michelle Hoda; Wilensky, Uri J. – Journal of the Learning Sciences, 2015
The learning sciences community has made significant progress in understanding how people think and learn about complex systems. But less is known about how people make sense of the quantitative patterns and mathematical formalisms often used to study these systems. In this article, we make a case for attending to and supporting connections…
Descriptors: Statistical Analysis, Behavior, Interviews, High School Students
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Bakker, Arthur – Statistics Education Research Journal, 2004
This paper examines ways in which coherent reasoning about key concepts such as variability, sampling, data, and distribution can be developed as part of statistics education. Instructional activities that could support such reasoning were developed through design research conducted with students in grades 7 and 8. Results are reported from a…
Descriptors: Middle Schools, Grade 8, Cognitive Development, Sampling