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Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
Saskia Schreiter; Markus Vogel – Educational Studies in Mathematics, 2025
The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…
Descriptors: Eye Movements, Statistical Distributions, Data Interpretation, Data Analysis
Sindhu Mathai; Parvathi Krishnan; Jaya Sreevalsan-Nair – Contemporary Education Dialogue, 2025
Graphical literacy or graphicacy is a critical component of scientific literacy. Graphs are used to integrate and represent complex sets of information requiring abstraction from perceptual experience. They form essential parts of the Mathematics and Science curriculum across school curricular stages. A key to developing meaningful pedagogic…
Descriptors: Multiple Literacies, Graphs, Elementary School Students, Middle School Students
Balaton, M. C.; Da Silva, L. F.; Carvalho, P. S. – Physics Education, 2020
In this paper, we aim to show strategies for improving graph interpretation skills at middle and high school students using OZOBOT® BIT, a small and relatively low-cost programmable robot which had been used to teach programming to young children. OZOBOT's speed can be controlled by drawing lines with colour codes, as well as through a visual…
Descriptors: Middle School Students, High School Students, Skill Development, Graphs
Ozmen, Zeynep Medine; Guven, Bulent; Kurak, Yasin – Eurasian Journal of Educational Research, 2020
Purpose: Previous research focused on graphical skills of the students, which remains a gap that exists, and there has not been comprehensive research on students' graphical literacy abilities. The present study aims to picture graphical literacy levels of the 8th grade students concerning the "reading," "interpreting,"…
Descriptors: Middle School Students, Grade 8, Knowledge Level, Graphs
Kalinec-Craig, Crystal; Robles, Rose Ann – Mathematics Teacher: Learning and Teaching PK-12, 2020
The article describes how one fifth-grade teacher helped her students to exercise their Rights of the Learner (e.g., to be confused; to claim a mistake; to speak, listen, and be heard; and to write, do, and represent what makes sense) as they learned to graph and interpret non-linear data.
Descriptors: Elementary School Students, Grade 5, Elementary School Teachers, Classroom Techniques
Boote, Stacy K.; Boote, David N. – Elementary School Journal, 2017
Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…
Descriptors: Elementary School Mathematics, Elementary School Students, Middle School Students, Grade 6
Lewis, Felicia Wider – ProQuest LLC, 2016
This thesis examined middle school students' current understanding of variability using a constructed response item assessment question. Variability is an essential concept in the teaching and learning of statistics. However, many students have difficulty with the concept of variability especially when constructing boxplots. Using a framework…
Descriptors: Middle School Students, Knowledge Level, Statistics, Mathematical Concepts
Ring, Malte; Brahm, Taiga; Randler, Christoph – International Journal of Science Education, 2019
In science, graphs are used to visualise data, relationships and scientific principles. Basic graph reading operations, i.e. reading single data points, recognising trends as well as conducting small extrapolations from the data are important skills for pupils and lay the groundwork for a comprehensive understanding of data visualisations across…
Descriptors: Graphs, Difficulty Level, Data Interpretation, Test Items
Watson, Jane – Australian Primary Mathematics Classroom, 2015
Using statistical literacy skills to determine appropriate scales to be used on graphs is an essential part of numeracy. Using several meaningful contexts, this article explains very clearly when it is appropriate and inappropriate to begin the scale of a graph at zero.
Descriptors: Statistics, Numeracy, Graphs, Scaling
Smit, Jantien; Bakker, Arthur; van Eerde, Dolly; Kuijpers, Maggie – Mathematics Education Research Journal, 2016
The importance of language in mathematics learning has been widely acknowledged. However, little is known about how to make this insight productive in the design and enactment of language-oriented mathematics education. In a design-based research project, we explored how language-oriented mathematics education can be designed and enacted. We drew…
Descriptors: Graphs, Language Proficiency, Data Interpretation, Scaffolding (Teaching Technique)
Boote, Stacy K. – Journal of Science Teacher Education, 2014
This study examined how 12- and 13-year-old students' mathematics and science background knowledge affected line graph interpretations and how interpretations were affected by graph question levels. A purposive sample of 14 students engaged in think aloud interviews while completing an excerpted Test of Graphing in Science. Data were…
Descriptors: Scoring Rubrics, Graphs, Protocol Analysis, Interviews
Garcia-Mila, Merce; Marti, Eduard; Gilabert, Sandra; Castells, Marina – Mathematical Thinking and Learning: An International Journal, 2014
Studies that consider the displays that students create to organize data are not common in the literature. This article compares fifth through eighth graders' difficulties with the creation of bar graphs using either raw data (Study 1, n = 155) or a provided table (Study 2, n = 152). Data in Study 1 showed statistical differences for the type of…
Descriptors: Graphs, Problems, Data Interpretation, Comparative Analysis
Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Soule, Marcus – Science Scope, 2009
Examining data provides a unique opportunity to have students work actively with various technologies, such as computers or graphing calculators. Students can import data into spreadsheet software, execute mathematical calculations, create data graphs, and use this material in reports to present the results of their inquiry. Reinforcing the use of…
Descriptors: Earth Science, Data Interpretation, Technology Uses in Education, Science Instruction
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