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Investigating Statistical Predictions with First Graders in Greece
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Anastasia Michalopoulou; Sonia Kafoussi – International Electronic Journal of Mathematics Education, 2024
This paper argues that engaging students in informal statistical reasoning from early school years is essential for the development of statistical understanding. We investigated if and how children aged six-seven years old identified variation in a table of data and made predictions through the design of a teaching experiment. The classroom…
Descriptors: Statistics, Thinking Skills, Grade 1, Elementary School Students
Statistical Investigations in Primary School -- The Role of Contextual Expectations for Data Analysis
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Frischemeier, Daniel; Schnell, Susanne – Mathematics Education Research Journal, 2023
As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…
Descriptors: Elementary School Students, Context Effect, Data Analysis, Case Studies
A Semiotic Perspective on Learning Mathematics with Digital and Analogue Material: Primary School Children Acting on Statistical Diagrams
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Billion, Lara Kristina – Statistics Education Research Journal, 2023
This paper focuses on two third-grade students' work on the same statistical question whereby one acts with analogue material and the other with TinkerPlots™. The aim of the research was to find out whether different material influences the actions and, thus, possibly the mathematical interpretations of the learners. To investigate this research…
Descriptors: Semiotics, Statistics Education, Teaching Methods, Elementary School Students
Teaching Statistical Literacy and Data Analysis to Students with Mathematics Difficulties Importance of Statistical Literacy
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Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – Grantee Submission, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Statistics Education, Mathematics Skills, Skill Development, Data Analysis
Real-World Critical Mathematics Lesson: A Way to Leverage Students' Conceptual Understanding and Sociopolitical Awareness
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Autumn Pham; Eva Thanheiser; Kathryn E. Roman; Molly L. Robinson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We investigated the development of students' sociopolitical consciousness via engagement in a mathematical activity purposefully designed around understanding the unemployment rate in the US. Qualitative data was collected from 12 university seniors participating in an online capstone class. Results showed that students: (1) further developed…
Descriptors: College Seniors, Mathematics Instruction, Capstone Experiences, Authentic Learning
Timeline Tool for Analyzing the Relationship between Students-Teachers-Artifacts Interactions and Meaning-Making
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Bagossi, Sara; Swidan, Osama; Arzarello, Ferdinando – Journal on Mathematics Education, 2022
Meaning-making in teaching-learning mathematical processes is a relevant issue analysed through different philosophical and educational frames. In particular, the use of digital tools in mathematics education affects the meaning-making processes. This paper discusses meaning-making from a phenomenological standpoint, in which interpretative…
Descriptors: Educational Technology, Mathematical Concepts, High School Students, Foreign Countries
Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Using Census at School to Build Statistical Reasoning
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Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students