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Chelsey Legacy; Andrew Zieffler; V. N. Vimal Rao; Robert Delmas – Statistics Education Research Journal, 2025
As ideas from data science become more prevalent in secondary curricula, it is important to understand secondary teachers' content knowledge and reasoning about complex data structures and modern visualizations. The purpose of this case study is to explore how secondary teachers make sense of mappings between data and visualizations, especially…
Descriptors: Secondary School Teachers, Visualization, Data, Data Use
Madison Fansher; Logan Walls; Chenxu Hao; Hari Subramonyam; Aysecan Boduroglu; Priti Shah; Jessica K. Witt – Cognitive Research: Principles and Implications, 2025
In contexts where people lack prior knowledge and risk awareness--such as the COVID-19 pandemic--even truthful visualizations of data can seem surprising. This can lead people to mistrust the veracity of the data and to discount it, leading to poor risk decisions. In this work, we illustrate how narrative visualizations can achieve a balance…
Descriptors: Visualization, Trust (Psychology), Data, Credibility
Aimee Jacobs; Jacquelin J. Curry; Concetta A. DePaolo; Fernando Parra – Journal of Information Systems Education, 2024
This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…
Descriptors: Visualization, Housing, Computer Software, Data Use
John Levendis; Nuwan Indika – Decision Sciences Journal of Innovative Education, 2025
Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication,…
Descriptors: Business Skills, Data Analysis, Content Analysis, Occupational Information
Usova, Tatiana; Laws, Robert – Journal of Information Literacy, 2021
Data literacy skills are becoming critical in today's world as the quantity of data grows exponentially and becomes the 'currency' of power. In spring 2020, a team of two librarians piloted a new one-credit course in data literacy and data visualisation. This report explains the rationale behind the project and discusses the place of data literacy…
Descriptors: College Credits, Information Literacy, Data, Visualization
Axelrod, Daryl; Kahn, Jennifer – Discourse Processes: A Multidisciplinary Journal, 2023
Large-scale data and data visualizations are ubiquitous now in the stories that shape our society. In particular, these stories influence youth and families' communication and understanding of scientific, social, and personal issues. Consequently, we need to better understand how youth and families can engage and learn with the tools that generate…
Descriptors: Data, Visualization, Family (Sociological Unit), Story Telling
Peter J. Woods; Camillia Matuk; Kayla DesPortes; Ralph Vacca; Marian Tes; Veena Vasudevan; Anna Amato – Critical Studies in Education, 2024
As visual cultures scholars have argued, visual expression and aesthetic artifacts largely comprise the modern world. This includes the production of the school as an institution. A critical approach to education therefore must reinscribe students with the ability to see what educational processes attempt to hide and to construct an understanding…
Descriptors: Data Science, Statistics Education, Visualization, Aesthetics
Soto, Alexis; Schoenlein, Melissa A.; Schloss, Karen B. – Cognitive Research: Principles and Implications, 2023
In visual communication, people glean insights about patterns of data by observing visual representations of datasets. Colormap data visualizations ("colormaps") show patterns in datasets by mapping variations in color to variations in magnitude. When people interpret colormaps, they have expectations about how colors map to magnitude,…
Descriptors: Concept Mapping, Visualization, Data Interpretation, Expectation
Katie Fitzgerald; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2021
Background: As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Websites and clearinghouses such as the "What Works Clearinghouse" (WWC), "Evidence for ESSA," "Blueprints for Healthy Youth Development,"…
Descriptors: Effect Size, Graphs, Meta Analysis, Data Collection
Jiang, Shiyan; Kahn, Jennifer – International Journal of Computer-Supported Collaborative Learning, 2020
Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…
Descriptors: Data Collection, Data Analysis, Visualization, Story Telling
Müller, Tjark; Hesse, Friedrich W.; Meyerhoff, Hauke S. – Cognitive Research: Principles and Implications, 2021
In co-located, multi-user settings such as multi-touch tables, user interfaces need to be accessible from multiple viewpoints. In this project, we investigated how this goal can be achieved for depictions of data in bar graphs. We designed a laboratory task in which participants answered simple questions based on information depicted in bar graphs…
Descriptors: Data, Visualization, Graphs, Spatial Ability
Jia, Weichen; Peng, Jun; Cai, Na – Knowledge Management & E-Learning, 2020
Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…
Descriptors: Visualization, Data Analysis, Trend Analysis, Chinese
Sutters, Justin P. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
Scholars in the field of art education have varied professional trajectories, yet they are networked in academia, both through their advisors as well as through the universities in which they completed their graduate degrees. This study makes these complex relationships visible through the use of visualizations and an interactive website created…
Descriptors: Art Education, Visualization, Computer Software, Data Analysis
Hamid Sanei; Jennifer B. Kahn; Rabia Yalcinkaya; Shiyan Jiang; Changzhao Wang – Journal of Science Education and Technology, 2024
Data and computational literacies empower youth to be active participants and future leaders in our increasingly data-driven society. We conducted a design-based research project in which a small group (n = 5) of high school youth from diverse backgrounds learned how to code and create data visualizations and stories with public data about climate…
Descriptors: Coding, Data Use, Science and Society, Story Telling
André Storto – International Journal of Multilingualism, 2024
This article presents an innovative way to engage schoolchildren in discussions on multilingualism and multilingual identity using research data they helped generate. Adopting an exploratory, participatory approach to research, our study uses digital data visualisations in interactive sessions aimed at engaging lower secondary students in identity…
Descriptors: Multilingualism, Second Language Learning, Foreign Countries, Participatory Research