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Christian Bombara; Ran Duan – Journal of Visual Literacy, 2024
With the widespread use of visuals in the media and the rapid development of visual technologies, media consumers today increasingly face visual information and visual decision-making. Developing visual literacy is thus crucial to empower people to effectively navigate the visual world. This paper uses two studies to describe the development and…
Descriptors: Test Construction, Test Validity, Visual Literacy, Psychometrics
Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
McHenry, William K. – Journal of Information Systems Education, 2022
Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…
Descriptors: Visual Aids, Scoring Rubrics, Feedback (Response), Data Interpretation
Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
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
Rubel, Laurie H.; Nicol, Cynthia; Chronaki, Anna – Educational Studies in Mathematics, 2021
Data visualizations have proliferated throughout the COVID-19 pandemic to communicate information about the crisis and influence policy development and individual decision-making. In invoking exponential growth, mathematical modelling, statistical analysis, and the like, these data visualizations invite opportunities for mathematics teaching and…
Descriptors: Mathematics Education, Data Use, Data Interpretation, Visual Aids
Friedman, Alon – Biochemistry and Molecular Biology Education, 2022
The R programming language and computing environment is a powerful and common platform used by life science researchers and educators for the analysis of big data. One of the benefits of using R in this context is its ability to visualize the results. Using R to generate visualizations has gained in popularity due to the increased number of R…
Descriptors: Visual Aids, Peer Evaluation, Scoring Rubrics, Programming Languages
Bolch, Charlotte; Crippen, Kent – Statistics Education Research Journal, 2022
The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought…
Descriptors: Statistics Education, Visual Aids, Data Analysis, Delphi Technique
Tamara Nelson-Fromm; Bahare Naimipour; Tamara Shreiner; Mark Guzdial – Social Education, 2024
Data literacy, an important goal for social studies education, involves teaching students how to comprehend, analyze, interpret, evaluate, create, and argue with data and data visualizations such as timelines, maps, and graphs. Digital data visualizations support rapid inquiry and explorations that would be difficult on paper - such as adding data…
Descriptors: Visual Aids, Social Studies, Educational Technology, Technology Uses in Education
Khizar Nasir; Jan Nespor – Education Policy Analysis Archives, 2023
This conceptual article examines how consultants use a mundane policy device, the powerpoint presentation, to manage education policy relations between international lenders and education ministries in the global South. The article theorizes presentations as socio-material assemblages that combine consultants, software, visualization conventions,…
Descriptors: Educational Policy, Consultants, Developing Nations, International Organizations
Theerapong Binali; Ching-Hwa Chang; Yen-Jung Chang; Hsin-Yi Chang – Science & Education, 2024
This study surveyed 183 college and senior high school students' graph-interpretation competence in scientific and daily contexts. Specifically, whether students' graph interpretation in scientific and daily contexts differed across educational levels was investigated. Furthermore, the questions of whether students' graph interpretation competence…
Descriptors: College Students, High School Seniors, Graphs, Data Interpretation
Billion, Lara Kristina – Statistics Education Research Journal, 2023
This paper focuses on two third-grade students' work on the same statistical question whereby one acts with analogue material and the other with TinkerPlots™. The aim of the research was to find out whether different material influences the actions and, thus, possibly the mathematical interpretations of the learners. To investigate this research…
Descriptors: Semiotics, Statistics Education, Teaching Methods, Elementary School Students
Matuk, Camillia; Uttal, David H. – Research in Science Education, 2020
Biologists use tree diagrams to illustrate phylogenetic relationships among species. However, both novices and experts are prone to misinterpret this notational form. A difficulty with reasoning with cladograms is that intuitive narrative conceptions of evolution as a linear progression interfere with perceiving the hierarchical relationships that…
Descriptors: Undergraduate Students, Biology, Visual Aids, Data Interpretation
Parobek, Alexander P.; Chaffin, Patrick M.; Towns, Marcy H. – Chemistry Education Research and Practice, 2021
Reaction coordinate diagrams (RCDs) are chemical representations widely employed to visualize the thermodynamic and kinetic parameters associated with reactions. Previous research has demonstrated a host of misconceptions students adopt when interpreting the perceived information encoded in RCDs. This qualitative research study explores how…
Descriptors: Visual Aids, Chemistry, Inferences, Data Interpretation
Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis