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David Menendez; Andrea Marquardt Donovan; Olympia N. Mathiaparanam; Vienne Seitz; Nour F. Sabbagh; Rebecca E. Klapper; Charles W. Kalish; Karl S. Rosengren; Martha W. Alibali – Child Development, 2024
Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected…
Descriptors: Childrens Attitudes, Beliefs, Genetics, Probability
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David Menendez; Andrea Marquardt Donovan; Olympia N. Mathiaparanam; Vienne Seitz; Nour F. Sabbagh; Rebecca E. Klapper; Charles W. Kalish; Karl S. Rosengren; Martha W. Alibali – Grantee Submission, 2024
Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected…
Descriptors: Children, Childrens Attitudes, Beliefs, Genetics
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Nilsson, Per – Statistics Education Research Journal, 2023
A design experiment where students in Grade 5 (11-12 years old) play the Color Run game constitutes the context for investigating how students can be introduced to informal hypothesis testing. The result outlines a three-step hypothetical learning trajectory on informal hypothesis testing. In the first step, students came to favor sample space…
Descriptors: Statistics Education, Teaching Methods, Educational Games, Grade 5
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English, Lyn D. – Statistics Education Research Journal, 2023
This article reports on a study in which third-grade students (8-9 years) were given a degree of agency in conducting chance experiments and representing the outcomes. Students chose their own samples of 12 coloured counters, ensuring all colours were represented. They predicted the outcomes of item selection, tested their predictions, explained…
Descriptors: Grade 3, Elementary School Students, Color, Probability
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Colindres, Carlos A. Mejía; Peters, Stephanie – Mathematics Teacher, 2019
According to the conceptual framework for K-grade 12 statistics education introduced in the 2007 Guidelines for Assessment and Instruction in Statistics Education (GAISE) report, students can be located at one of three developmental levels of statistical literacy: A, B, or C. These levels are independent of age and grade level, so, in theory,…
Descriptors: Mathematics Instruction, Probability, Mathematics Teachers, Grade 8
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Dempsey, Jack; Liu, Qiawen; Christianson, Kiel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Previous work has ostensibly shown that readers rapidly adapt to less predictable ambiguity resolutions after repeated exposure to unbalanced statistical input (e.g., a high number of reduced relative-clause garden-path sentences), and that these readers grow to disfavor the a priori more frequent (e.g. main verb) resolution after exposure (Fine,…
Descriptors: Probability, Cues, Syntax, Ambiguity (Semantics)
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Suh, Jihyun; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Existing approaches in the literature on cognitive control in conflict tasks almost exclusively target the outcome of control (by comparing mean congruency effects) and not the processes that shape control. These approaches are limited in addressing a current theoretical issue--what contribution does learning make to adjustments in cognitive…
Descriptors: Cognitive Processes, Comparative Analysis, Conflict, Learning Processes
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Lu, Yonggang; Zheng, Qiujie; Quinn, Daniel – Journal of Statistics and Data Science Education, 2023
We present an instructional approach to teaching causal inference using Bayesian networks and "do"-Calculus, which requires less prerequisite knowledge of statistics than existing approaches and can be consistently implemented in beginner to advanced levels courses. Moreover, this approach aims to address the central question in causal…
Descriptors: Bayesian Statistics, Learning Motivation, Calculus, Advanced Courses
Clinton, Virginia; Morsanyi, Kinga; Alibali, Martha W.; Nathan, Mitchell J. – Grantee Submission, 2016
Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…
Descriptors: Visual Discrimination, Color, Coding, Probability