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Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Growing scholarship on the pedagogical applications of statistical modeling is currently taking place to create adaptations of this practice to introduce novices to statistics. These are intended to promote novices' reasoning, and are typically void of formal mathematical procedures and calculations. In this article, we define the potential…
Descriptors: Teaching Methods, Statistics Education, Novices, Correlation
Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…
Descriptors: Mathematics Instruction, Teaching Methods, Statistics Education, Instructional Design
Aridor, Keren; Ben-Zvi, Dani – Statistics Education Research Journal, 2017
This article examines how two processes--reasoning with statistical modelling of a real phenomenon and aggregate reasoning--can co-emerge. We focus in this case study on the emergent reasoning of two fifth graders (aged 10) involved in statistical data analysis, informal inference, and modelling activities using TinkerPlots™. We describe nine…
Descriptors: Foreign Countries, Models, Logical Thinking, Statistics
Bakker, Arthur; Ben-Zvi, Dani; Makar, Katie – Mathematics Education Research Journal, 2017
To understand how statistical and other types of reasoning are coordinated with actions to reduce uncertainty, we conducted a case study in vocational education that involved statistical hypothesis testing. We analyzed an intern's research project in a hospital laboratory in which reducing uncertainties was crucial to make a valid statistical…
Descriptors: Statistical Inference, Case Studies, Statistics, Hypothesis Testing
Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie – Educational Studies in Mathematics, 2015
The goal of this article is to introduce the topic of "learning to reason from samples," which is the focus of this special issue of "Educational Studies in Mathematics" on "statistical reasoning." Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular procedure…
Descriptors: Mathematics Instruction, Statistical Analysis, Mathematical Logic, Statistical Inference
Braham, Hana Manor; Ben-Zvi, Dani – Statistics Education Research Journal, 2017
A fundamental aspect of statistical inference is representation of real-world data using statistical models. This article analyzes students' articulations of statistical models and modeling during their first steps in making informal statistical inferences. An integrated modeling approach (IMA) was designed and implemented to help students…
Descriptors: Foreign Countries, Elementary School Students, Statistical Inference, Mathematical Models
Makar, Katie; Bakker, Arthur; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2011
Informal statistical inference (ISI) has been a frequent focus of recent research in statistics education. Considering the role that context plays in developing ISI calls into question the need to be more explicit about the reasoning that underpins ISI. This paper uses educational literature on informal statistical inference and philosophical…
Descriptors: Statistics, Instruction, Statistical Inference, Grade 6
Gil, Einat; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2011
Explanations are considered to be key aids to understanding the study of mathematics, science, and other complex disciplines. This paper discusses the role of students' explanations in making sense of data and learning to reason informally about statistical inference. We closely follow students' explanations in which they utilize their experiences…
Descriptors: Statistical Inference, Abstract Reasoning, Grade 6, Elementary School Students