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Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
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Anders Wiik; Pauline Vos – Adults Learning Mathematics, 2024
In 2020, the COVID-19 pandemic urged authorities to share quantitative information such as infection and death rates. One way of disseminating was through graphs, maps, and diagrams. Such data visualizations communicate numeric data in compact ways, but also require a particular mathematical literacy from readers. We conceptualized this particular…
Descriptors: Journalism, COVID-19, Pandemics, Visual Aids
Mindy L. Rosengarten; Emma R. Hart; Drew H. Bailey; Meghan P. McCormick; Benjamin J. Lovett; Tyler W. Watts – Annenberg Institute for School Reform at Brown University, 2024
Recent reviews of the educational intervention literature have noted patterns of intervention impact fadeout on cognitive skills, whereby skill trajectories between children in the intervention and control group converge in the years following the end of the intervention. Some early childhood education (ECE) researchers have suggested that skill…
Descriptors: Data Analysis, Meta Analysis, Intervention, Persistence
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Reza Moeti; Abolfazl Rafiepour; Mohammad Reza Fadaee – Mathematics Teaching Research Journal, 2024
Despite the increasing interest in data science education in the world, its teaching is not included in the curricula (junior secondary) and there is little information about it. Google Trends is discussed as a tool and database in school data science. Also, in different subjects, students were able to create and interpret graphs using this tool.…
Descriptors: Foreign Countries, Data Science, Statistics Education, Middle School Students
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Ines Lee; Eileen Tipoe – British Educational Research Journal, 2025
In many developed countries, disagreement on important policy issues between groups with different social identities ('ideological polarisation') is increasing. In professional settings, these disagreements undermine cooperation and trust between employees, which negatively affects work relationships and managerial decision-making. We investigate…
Descriptors: Ideology, Educational Attitudes, Evidence, Comparative Education
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Robert Meyer; Anthony Milanowski; Ryan Veiga; Jessica Doherty – Journal of Education Human Resources, 2025
One potentially fruitful application for human capital analytics is to support policies and practices that might reduce undesirable teacher turnover. Teacher turnover can be harmful to student achievement and faculty cohesiveness and can exacerbate teacher shortages. This article describes an attempt to build a human capital analytics tool to help…
Descriptors: Teacher Persistence, Faculty Mobility, School Districts, Human Capital
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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
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William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
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Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology
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Sekerci, Reyhan; Karatas, Süleyman; Güven, Beyhan; Demir, Levent; Güven, Alper – International Journal of Educational Administration and Policy Studies, 2021
Data mining in education predictions are made about other groups based on the big data of education. However, the extent to which training data can be accessed is relative. A group that can be described as missing data is children living or working on the street. For this reason this study aimed to deal with children working or living on the…
Descriptors: Data Analysis, Homeless People, Children, Social Problems
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Fry, Kym; Makar, Katie – Teaching Statistics: An International Journal for Teachers, 2021
In this paper, we propose that informal aspects of data science could be introduced in primary school. The International Data Science in Schools Project (IDSSP) framework for data science curriculum provides a guide for a data science curriculum aimed at upper secondary level. We analyzed synergies between the IDSSP framework and the current…
Descriptors: Data Analysis, Interdisciplinary Approach, Elementary School Curriculum, Foreign Countries
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Stanley-Gray, Jacob; Zhang, Zhaojie; Venkataraman, D. – Journal of Chemical Education, 2021
We have updated a version of the coordination geometry table of the d-block elements and their ions that Moore and co-workers presented in 1997. This table is constructed by searching and analyzing the data in the Cambridge Structural Database. In this updated version, we have also analyzed impact of ligands on the coordination geometry and…
Descriptors: Geometry, Geometric Concepts, Chemistry, Search Engines
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Braun, Henry – International Journal of Educational Methodology, 2021
This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…
Descriptors: Data Use, Social Sciences, Data Analysis, Data Interpretation
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McGowan, Bethany S. – portal: Libraries and the Academy, 2021
The use of text mining tools can help librarians improve the precision of searches, increase search sensitivity, and translate search strategies across multiple research databases. When combined with the intuitive approaches that librarians commonly use, text mining tools help reduce biases by improving the objectivity, transparency, and…
Descriptors: Data Analysis, Information Retrieval, Search Strategies, Open Source Technology
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Bertling, Joy G.; Hodge, Lynn; King, Shande – Art Education, 2021
Over the past few years, art educators (Cooper et al., 2018; Grodoski, 2018; Taylor, 2017) have begun to embrace data visualization for curricular purposes. In this article, the authors make a case for the inclusion of data visualizations in K-12 art curricula and illustrate a curriculum that focused on introductory data visualization concepts and…
Descriptors: Data Analysis, Art Education, Elementary Secondary Education, Curriculum Implementation
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