Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 9 |
Descriptor
Data Interpretation | 14 |
Graphs | 14 |
Problem Solving | 14 |
Interpretive Skills | 4 |
Mathematics Education | 4 |
Mathematics Instruction | 4 |
Statistics | 4 |
Cognitive Processes | 3 |
Eye Movements | 3 |
Foreign Countries | 3 |
Tables (Data) | 3 |
More ▼ |
Source
Author
Arthur Bakker | 2 |
Lonneke Boels | 2 |
Paul Drijvers | 2 |
Alex Lyford | 1 |
Armstrong, Georganna | 1 |
Costu, Fatma | 1 |
Dibble, Emily | 1 |
Dixon, Juli K. | 1 |
Ergül, N. Remziye | 1 |
Falba, Christy J. | 1 |
Flack, Anita | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Research | 9 |
Guides - Classroom - Teacher | 2 |
Information Analyses | 2 |
Reports - Descriptive | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 3 |
Secondary Education | 3 |
Elementary Education | 1 |
Grade 5 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Practitioners | 2 |
Teachers | 2 |
Location
Germany | 2 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lonneke Boels; Alex Lyford; Arthur Bakker; Paul Drijvers – Frontline Learning Research, 2023
Many students persistently misinterpret histograms. Literature suggests that having students solve dotplot items may prepare for interpreting histograms, as interpreting dotplots can help students realize that the statistical variable is presented on the horizontal axis. In this study, we explore a special case of this suggestion, namely, how…
Descriptors: Data Interpretation, Interpretive Skills, Statistical Distributions, Graphs
Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
Costu, Fatma – Journal of Baltic Science Education, 2023
Several studies compared three different types of questions (conceptual, algorithmic, and graphical) across various topics, however, few focused specifically on gifted students. This study addressed this gap. The aim of the study, hence, was to determine whether there were notable differences in gifted students' performance in the three types of…
Descriptors: Academically Gifted, Concept Formation, Algorithms, Graphs
Sebastian Becker; Lynn Knippertz; Stefan Ruzika; Jochen Kuhn – Physical Review Physics Education Research, 2023
Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…
Descriptors: Persistence, Context Effect, Learning Strategies, Eye Movements
Knöchelmanna, Nina; Krueger, Sabine; Flack, Anita; Osterhaus, Christopher – Frontline Learning Research, 2019
The ability to correctly interpret data is an important skill in modern knowledge societies. The present study investigates adults' ability to interpret covariation data presented in bar graphs. Drawing on previous findings that show that the problem context influences the interpretation of contingency tables (grounded and concrete problems are…
Descriptors: Adults, Data Interpretation, Interpretive Skills, 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
Ergül, N. Remziye – Universal Journal of Educational Research, 2018
Data and graphic analysis and interpretation are important parts of science process skills and science curriculum. So it refers to visual display of data using relevant graphical representations. One of the tools used in science courses is graphics for explain the relationship among each of the concepts and therefore it is important to know data…
Descriptors: Preservice Teachers, Science Teachers, Student Attitudes, Data Interpretation
So, Winnie Wing-mui – International Journal of Science and Mathematics Education, 2013
Science as inquiry and mathematics as problem solving are conjoined fraternal twins attached by their similarities but with distinct differences. Inquiry and problem solving are promoted in contemporary science and mathematics education reforms as a critical attribute of the nature of disciplines, teaching methods, and learning outcomes involving…
Descriptors: Inquiry, Problem Solving, Science Education, Mathematics Education
Ubuz, Behiye – International Journal of Mathematical Education in Science and Technology, 2007
This present study investigated engineering students' conceptions and misconceptions related to derivative, particularly interpreting the graph of a function and constructing its derivative graph. Participants were 147 first year engineering students from four universities enrolled in first year undergraduate calculus courses with or without the…
Descriptors: Misconceptions, Mathematical Concepts, Engineering, Diagnostic Tests
LaLomia, Mary J.; And Others – 1988
This study examined problem solving as a function of display type (table/graph) and numeric function (linear/nonlinear) in four problem solving domains. Twenty-two stimulus problems were developed, and line graph and table displays were constructed for each problem. Half of the displays contained linear numeric functions and the other half…
Descriptors: Analysis of Variance, Data Interpretation, Graphs, Intermode Differences
Dibble, Emily; Shaklee, Harriet – 1992
To study how the organization of information affects the way that information is interpreted, a total of 404 undergraduates in two studies (151 and 253 students, respectively) solved statistical reasoning problems based on data presented in a variety of types of graphs and tables. When assessing relative probabilities, students were equally…
Descriptors: Causal Models, Data Interpretation, Graphs, Higher Education

Hitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation

Dixon, Juli K.; Falba, Christy J. – Mathematics Teaching in the Middle School, 1997
Describes five activities using the World Wide Web that teach students to experience searching, locating, and organizing data. Students learn to summarize statistics, analyze data, make conjectures, and communicate information. They interpret or create bar graphs, line graphs, histograms, and circle graphs. (PVD)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Critical Thinking, Data Interpretation

van Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change