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Casleton, Emily; Beyler, Amy; Genschel, Ulrike; Wilson, Alyson – Journal of Statistics Education, 2014
Undergraduate students who have just completed an introductory statistics course often lack deep understanding of variability and enthusiasm for the field of statistics. This paper argues that by introducing the commonly underemphasized concept of measurement error, students will have a better chance of attaining both. We further present lecture…
Descriptors: Undergraduate Students, Statistics, Measurement Techniques, Error of Measurement
Gardner, Kimberly – Teaching Statistics: An International Journal for Teachers, 2013
Statistics is an integral part of the K-12 mathematics curriculum (age 5-18). Naturally, students construct misconceptions of what they learn. This article discusses The Bop It[C]Challenge, a review activity assesses student understanding and reveals their misunderstandings of statistical concepts. (Contains 3 figures and 1 table.)
Descriptors: Statistics, Mathematics Instruction, Misconceptions, Mathematical Concepts
Schwartz, Renee – Science Scope, 2007
Despite over 10 years of reform efforts, research still shows that students typically have inadequate conceptions of what science is and what scientists do. Many science students, as well as some teachers, use a single "scientific method" that, "proves a hypothesis" by systematic data collection. By following a prescribed set of steps, and writing…
Descriptors: Concept Formation, Scientists, Science Instruction, Scientific Research
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis