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Jo Boaler; Cathy Williams – Corwin, 2025
How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…
Descriptors: Data Use, Decision Making, Information Literacy, Data Analysis
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
Zhang, Yuyu; Chan, Kan Kan – Interactive Learning Environments, 2023
Visual analytics (VA) technology has become a significant tool for business decision-makers to explore novel insights. One of its key features is analytical reasoning through interactive visualization that users have direct sensemaking in problem-solving processes. Few studies have examined how VA can be applied in business education for improving…
Descriptors: Visual Aids, Visualization, Learning Analytics, Data Analysis
Cardona Zapata, Mónica Eliana; López Ríos, Sonia – Technology, Knowledge and Learning, 2022
Experimental activity in the physics teaching can be considered as a space in which teachers create contexts for students to approach the way scientific knowledge is constructed. In this sense, the strategies for the integration of Information and Communication Technologies (ICT) in the context of science education, has a wide potential to guide…
Descriptors: Physics, Science Instruction, Teaching Methods, Visual Aids
Zhang, Yuyu; Chan, Kan Kan – Innovations in Education and Teaching International, 2021
Visual analytics technology enjoys a growing trend in data analysis and visualisation science. The potential of visual analytics application in classroom learning remains opaque. We integrated visual analytics tool in learning to examine higher-order thinking in terms of technology's innovation attributes, learning satisfaction, and…
Descriptors: Business Administration Education, College Seniors, Thinking Skills, Skill Development
Bruce Wellman; Laura Lipton – Solution Tree, 2024
In the second edition of "Data-Driven Dialogue: A Facilitator's Guide to Collaborative Inquiry," authors Bruce Wellman and Laura Lipton provide strategies that transform school culture through data-driven inquiry. By applying a three-phase model and a host of process tools to facilitate collaborative data analysis, K-12 school and…
Descriptors: Learning Analytics, Guides, Facilitators (Individuals), Visual Aids
Hain, Joie S.; Ritz, Wendy – Marketing Education Review, 2021
Increased value is placed on students having real-world learning experiences. Application classes such as Digital Marketing provide the opportunity for students to achieve this experience. Employers place value with employees having both hard skills and soft skills. To support learning both hard and soft skills, the Enterprise Marketing Variation…
Descriptors: Marketing, Soft Skills, Problem Solving, Information Technology
Root, Jenny R.; Cox, Sarah K.; Gonzalez, Stephanie – Research and Practice for Persons with Severe Disabilities, 2019
Data analysis inherently requires problem solving, yet it is the most understudied mathematical skill for individuals with extensive support needs. The current study taught elementary students with extensive support needs (i.e., autism and intellectual disability) to solve math word problems requiring analysis of scaled pictographs through…
Descriptors: Special Needs Students, Problem Solving, Mathematics Skills, Elementary School Students
Usman, Ahmed Ibrahim – European Journal of Science and Mathematics Education, 2017
The paper investigates geometric errors students made as they tried to use their basic geometric knowledge in the solution of the Applied Calculus Optimization Problem (ACOP). Inaccuracies related to the drawing of geometric diagrams (visualization skills) and those associated with the application of basic differentiation concepts into ACOP…
Descriptors: Mathematics Education, Mathematical Applications, Geometry, Calculus
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Journal of Education in Science, Environment and Health, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Information Retrieval, Data Analysis, Middle School Students
Liu, Chen-Chung; Chung, Chen-Wei; Chen, Nian-Shing; Liu, Baw-Jhiune – Educational Technology & Society, 2009
Collaborative learning is extensively applied in classroom activities, but the screens on handheld devices are designed for individual-user mobile applications and may constrain interaction among group learners. The small screen size may lead to fragmented and tete-a-tete communication patterns and frequently obstruct the externalization of the…
Descriptors: Graduate Students, Class Activities, Learning Activities, Visual Aids
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Peer reviewedEshach, Haim; Schwartz, Judah L. – Journal of Science Education and Technology, 2002
Investigates how students interpret and analyze multivariate data organized in tables and the nature of external visual displays that they tend to create and use for this purpose. Reports that: (1) students based their conclusions on only part of the data; (2) students did not use either efficient or sufficient visual representations; and (3)…
Descriptors: Algebra, Data Analysis, Middle Schools, Multivariate Analysis
Leung, Frederick Koon Shing – Educational Studies in Mathematics, 2005
In this paper, characteristics of mathematics classrooms in the East Asian countries of Hong Kong and Japan are discussed based on an analysis of the data of the TIMSS 1999 Video Study. The data shows that although students in these East Asian countries did not talk a lot in the classroom, they were exposed to more instructional content. The…
Descriptors: Foreign Countries, Mathematics Instruction, Mathematics Education, Classroom Techniques
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