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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
Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2023
Both graph comprehension and data analysis and interpretation are influenced by one's prior knowledge and experiences. To understand how one's prior knowledge and experiences interact with their analysis of a graph, we conducted think-aloud interviews with general chemistry students as they interpreted a graph to determine optimal conditions for…
Descriptors: Graphs, Data Analysis, Data Interpretation, Science Process Skills
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fourth in a series of statistical articles for mathematics teachers. In this article, the authors discuss topics in General Mathematics in Unit 2 Topic 1 (Univariate data analysis and the statistical investigation process) and topics in Essential Mathematics, Unit 2 Topic 1 (Representing and comparing data).
Descriptors: Mathematics Education, Mathematics Instruction, Data Analysis, Graphs
Milanick, Mark A. – Advances in Physiology Education, 2021
I describe a kinesthetic activity about oxygen handling by hemoglobin with two specific goals: (1) to help students gain a better understanding of how hemoglobin properties affect oxygen delivery and (2) to improve the ability of the students to actually read the hemoglobin oxygen-binding curve. The activity makes understanding oxygen delivery…
Descriptors: Science Activities, Graphs, Data Interpretation, Kinesthetic Methods
Danielle N. Maxwell; Jeffrey L. Spencer; Ethan A. Teich; Madeline Cooke; Braeden Fromwiller; Nathan Peterson; Linda Nicholas-Figueroa; Ginger V. Shultz; Kerri A. Pratt – Journal of Chemical Education, 2023
Reading and understanding scientific literature is an essential skill for any scientist to learn. While students' scientific literacy can be improved by reading research articles, an article's technical language and structure can hinder students' understanding of the scientific material. Furthermore, many students struggle with interpreting graphs…
Descriptors: Teaching Methods, Scientific Literacy, Science Instruction, Reading Comprehension
Hammerschmidt-Snidarich, Stephanie M.; Wagner, Dana; Parker, David C.; Wagner, Kyle – Assessment for Effective Intervention, 2021
This study examined reading tutors' interpretation of reading progress-monitoring graphs. A think-aloud procedure was used to evaluate tutors at two points in time, before and after a year of service as an AmeriCorps reading tutor. During their service, the reading tutors received extensive training and ongoing coaching. Descriptive results showed…
Descriptors: Reading Instruction, Tutors, Progress Monitoring, 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
Gold, Anne U.; Atkins, Rachel; McNeal, Karen S. – Scholarship and Practice of Undergraduate Research, 2021
Research Experiences for Undergraduate (REU) programs often introduce students to scientific research and STEM career possibilities. However, the program impact on students and their research skill development is not well understood. In a case study with 10 REU students, the authors used eye-tracking and self-report data to determine student…
Descriptors: Undergraduate Students, Graphs, Data Interpretation, Scientific Research
Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
Harris, Frank – School Science Review, 2020
The year 2020 saw the outbreak of the COVID-19 pandemic that not only had wide-reaching social and economic consequences but also put healthcare systems under stress. Strategies for coping with the virus depended heavily on the interpretation of data. This article uses information from a UK upper tier local authority to examine how closely the…
Descriptors: Pandemics, COVID-19, Data Interpretation, Prediction
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
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
Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
Lawrimore, Cassie; Surber, Emily A. – Proceedings of the Interdisciplinary STEM Teaching and Learning Conference, 2018
Students often struggle with the relationship between mathematical graphs and the data they represent. To truly understand types of evolutionary selection, students need to be proficient with several different skills in math, science, and literacy contexts. With math, students must be able to identify variables, design appropriate graphs based on…
Descriptors: Graphs, Evolution, High School Students, Biology
Ming Xie; H. L. Vacher; Steven Reader; Elizabeth Walton – Numeracy, 2018
We define quantitative map literacy (QML), a cross between map literacy and quantitative literacy (QL), as the concepts and skills required to accurately read, use, interpret, and understand the quantitative information embedded in a geospatial representation of data on a geographic background. Long used as tools in technical geographic fields,…
Descriptors: Map Skills, Numeracy, Mathematics Skills, Information Literacy

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