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Introducing High School Statistics Teachers to Predictive Modelling and APIs Using Code-Driven Tools
Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Pfannkuch, Maxine; Ben-Zvi, Dani; Budgett, Stephanie – ZDM: The International Journal on Mathematics Education, 2018
Statistical modeling is emerging as a fertile research environment in which to promote and learn about student statistical reasoning processes. We outline a paradigm shift toward a modeling perspective that is occurring in statistics education research and how statistical modeling processes involve connecting data, chance and context. The…
Descriptors: Statistics, Teaching Methods, Mathematical Models, Mathematics Instruction
Patel, Anne; Pfannkuch, Maxine – ZDM: The International Journal on Mathematics Education, 2018
Some researchers advocate a statistical modeling approach to inference that draws on students' intuitions about factors influencing phenomena and that requires students to build models. Such a modeling approach to inference became possible with the creation of "TinkerPlots" Sampler technology. However, little is known about what…
Descriptors: Thinking Skills, Mathematical Models, Statistics, Mathematics Instruction
Pfannkuch, Maxine; Budgett, Stephanie; Fewster, Rachel; Fitch, Marie; Pattenwise, Simeon; Wild, Chris; Ziedins, Ilze – Statistics Education Research Journal, 2016
Because new learning technologies are enabling students to build and explore probability models, we believe that there is a need to determine the big enduring ideas that underpin probabilistic thinking and modeling. By uncovering the elements of the thinking modes of expert users of probability models we aim to provide a base for the setting of…
Descriptors: Statistics, Probability, Teaching Methods, Foreign Countries
Arnold, Pip; Pfannkuch, Maxine; Wild, Chris J.; Regan, Matt; Budgett, Stephanie – Journal of Statistics Education, 2011
Computer simulations and animations for developing statistical concepts are often not understood by beginners. Hands-on physical simulations that morph into computer simulations are teaching approaches that can build students' concepts. In this paper we review the literature on visual and verbal cognitive processing and on the efficacy of…
Descriptors: Foreign Countries, Statistics, Learning Theories, Cues
Pfannkuch, Maxine – Statistics Education Research Journal, 2005
This article discusses five papers focused on "Research on Reasoning about Variation and Variability", by Hammerman and Rubin, Ben-Zvi, Bakker, Reading, and Gould, which appeared in a special issue of the "Statistics Education Research Journal" (No. 3(2) November 2004). Three issues emerged from these papers. First, there is a link between the…
Descriptors: Data Analysis, Cognitive Processes, Research Tools, Thinking Skills