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Jyotirmoy Sarkar; Mamunur Rashid – Teaching Statistics: An International Journal for Teachers, 2024
A single discrete random variable is depicted by a stick diagram, a 2D picture. Naturally, to visualize a bivariate discrete distribution, one can use a bivariate stick diagram, a 3D picture. Unfortunately, many students have difficulty understanding and processing 3D pictures. Therefore, we construct an alternative 2D disc plot to depict the…
Descriptors: Visualization, Statistical Distributions, Concept Formation, Mathematics
Graphical Tools for Visualizing the Results of Network Meta-Analysis of Multicomponent Interventions
Seitidis, Georgios; Tsokani, Sofia; Christogiannis, Christos; Kontouli, Katerina-Maria; Fyraridis, Alexandros; Nikolakopoulos, Stavros; Veroniki, Areti Angeliki; Mavridis, Dimitris – Research Synthesis Methods, 2023
Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…
Descriptors: Networks, Network Analysis, Meta Analysis, Intervention
Evelyn Abagayle Boyd; Kelly Best Lazar; Matthew Voigt – Journal of Geoscience Education, 2024
As a response to the increased need for humanization and representation in STEM, a set of open-source, customizable icons was developed using stackable vector graphics to allow participants to design their own research icons. These icons have the potential to both grant research participant's greater agency in their representation and attempt to…
Descriptors: Participant Characteristics, Personal Autonomy, Earth Science, Visualization
Muurlink, Olav; Gould, Anthony M.; Joullié, Jean-Etienne – Sociological Methods & Research, 2023
Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…
Descriptors: Visual Aids, Visualization, Data Analysis, Research Methodology
Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Egger, Matthias; Salanti, Georgia – Research Synthesis Methods, 2021
Meta-analysis results are usually presented in forest plots, which show the individual study results and the summary effect along with their confidence intervals. In this paper, we propose a system of linear springs as a mechanical analogue of meta-analysis that enables visualization and enhances intuition. The length of a spring corresponds to a…
Descriptors: Meta Analysis, Research Methodology, Visualization, Intuition
Singh, I.; Khun, K. Khun; Kaur, B.; Kaur, H.; Singh, T. – Physics Education, 2021
This paper describes a way to simulate and visualise 3D representations of the resultant electric field vector propagation for plane, circular and elliptically polarised waves. These polarisation states are obtained by the superposition of two coherent linearly polarised waves oscillating in two mutually perpendicular directions. The required data…
Descriptors: Computer Simulation, Visualization, Physics, Scientific Concepts
Loy, Adam – Journal of Statistics and Data Science Education, 2021
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has created an opportunity to build student understanding.…
Descriptors: Statistics Education, Statistical Inference, Visualization, Visual Aids
Bertling, Joy G.; Hodge, Lynn; Ryba, Ericka – Art Education, 2023
With the emergence of COVID-19, public interest in data visualization has surged. Data visualizations also, importantly, raised questions related to the data and the social context in which it occurred. Extending beyond but remaining connected to COVID-19, this context involved the racial and social inequality and economic disparities brought to…
Descriptors: COVID-19, Pandemics, Data Analysis, Visual Aids
Corovic, Ellen – Australian Primary Mathematics Classroom, 2022
This article aims to outline the important role of the summary phase within a mathematics instructional model and provide six strategies to support teachers to move beyond "share time." By drawing upon good teaching strategies during the summary phase, teachers can enhance the learning experience for themselves and for their students.…
Descriptors: Mathematics Instruction, Teaching Methods, Visualization, Learning Experience
Hughes, Theo; Kersting, Magdalena – Physics Education, 2021
Recently, the physics education community has taken a keen interest in modernising physics education. However, while topics in modern physics have great potential to engage students, these topics are abstract and hard-to-visualise. Therefore, many students hold mistaken pictures and misconceptions, which can impede learning. In this article, we…
Descriptors: Physics, Scientific Concepts, Time, Misconceptions
Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
Ponce Campuzano, J. C. – International Journal of Mathematical Education in Science and Technology, 2019
Undergraduate students usually study Laurent series in a standard course of Complex Analysis. One of the major applications of Laurent series is the classification of isolated singular points of complex functions. Although students are able to find series representations of functions, they may struggle to understand the meaning of the behaviour of…
Descriptors: Undergraduate Students, Mathematics Education, Mathematical Concepts, Classification
Shehab, Saadeddine – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2021
Activities that engage high school students in visualizing chemical phenomena can help them develop representational competence to think about and communicate their understanding of these phenomena. This paper presents a collaborative learning activity that can engage precollege students in designing a poster that describes four different types of…
Descriptors: Chemistry, Secondary School Science, Science Instruction, High School Students
Geçici, Mehmet Ertürk; Türnüklü, Elif – Acta Didactica Napocensia, 2021
Reasoning is handled as a basic process skill in mathematics teaching. When the literature was examined, it was seen that many types of reasoning related to mathematics education were mentioned. In the present study, it was focused on visual reasoning, which is one of the types of reasoning and also used in different research areas. The purpose of…
Descriptors: Mathematics Education, Thinking Skills, Visual Perception, Visualization
Marc A. Zambri; John R. De Backere – Journal of Chemical Education, 2024
Molecular symmetry and orbitals are two important chemical concepts which can be difficult for students to visualize in three dimensions; as such, instructors have traditionally adopted a variety of approaches to teach them including the use of physical models and digital renderings/resources. This paper describes a new mobile device application…
Descriptors: Molecular Structure, Science Education, Chemistry, Handheld Devices