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James Drimalla – Educational Studies in Mathematics, 2025
Inferentialism has emerged as a valuable theoretical resource in mathematics education. As a theory of meaning about the use and content of concepts, it offers a fresh perspective on traditional epistemological and linguistic questions in the field. Despite its emergence, important inferentialist ideas still need to be operationalized. In this…
Descriptors: Mathematics Education, Mathematical Concepts, Inferences, Statistical Inference
Ernesto Sánchez; Victor Nozair García-Ríos; Francisco Sepúlveda – Educational Studies in Mathematics, 2024
Sampling distributions are fundamental for statistical inference, yet their abstract nature poses challenges for students. This research investigates the development of high school students' conceptions of sampling distribution through informal significance tests with the aid of digital technology. The study focuses on how technological tools…
Descriptors: High School Students, Concept Formation, Thinking Skills, Skill Development
de Vetten, Arjen; Schoonenboom, Judith; Keijzer, Ronald; van Oers, Bert – Educational Studies in Mathematics, 2018
Teachers who engage primary school students in informal statistical inference (ISI) must themselves have good content knowledge of ISI (ISI-CK). However, little is known about how college education for pre-service teachers can contribute to the development of their ISI-CK. To address this shortcoming, we used a case study to investigate ISI-CK…
Descriptors: Statistical Inference, Elementary School Students, Knowledge Level, Preservice Teachers
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
Pfannkuch, Maxine; Arnold, Pip; Wild, Chris J. – Educational Studies in Mathematics, 2015
Currently, instruction pays little attention to the development of students' sampling variability reasoning in relation to statistical inference. In this paper, we briefly discuss the especially designed sampling variability learning experiences students aged about 15 engaged in as part of a research project. We examine assessment and…
Descriptors: Statistical Inference, Statistical Analysis, Sampling, Interviews
Inglis, Matthew; Simpson, Adrian – Educational Studies in Mathematics, 2009
In this paper, we examine the support given for the "theory of formal discipline" by Inglis and Simpson (Educational Studies Mathematics 67:187-204, "2008"). This theory, which is widely accepted by mathematicians and curriculum bodies, suggests that the study of advanced mathematics develops general thinking skills and, in particular, conditional…
Descriptors: Discipline, Thinking Skills, Statistical Inference, Mathematics Education
Which Notion of Implication Is the Right One? From Logical Considerations to a Didactic Perspective.

Durand-Guerrier, Viviane – Educational Studies in Mathematics, 2003
Summarizes Tarski's semantic truth theory to clarify different aspects of implication. Extends the classical definition of implication as a relationship between propositions to a relationship between open sentences with at least one free variable. Analyzes two problematic situations and the presentation of some experimental results from research…
Descriptors: Cognitive Processes, Higher Education, Logical Thinking, Mathematics Education

Saldanha, Luis; Thompson, Patrick – Educational Studies in Mathematics, 2002
Distinguishes two conceptions of sample and sampling that emerged in the context of a teaching experiment conducted in a high school statistics class. Suggests that the conception of a sample as a quasi- proportional, small-scale version of the population is a powerful one to target for instruction. (Author/KHR)
Descriptors: Concept Formation, Mathematics Instruction, Sampling, Secondary Education