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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
Eser, Mehmet Taha; Çobanoglu Aktan, Derya – International Journal of Curriculum and Instruction, 2021
By applying educational data mining methods to big data related to large-scale exams, functional relationships are discovered in a basic sense and hidden pattern(s) can be revealed. Within the scope of the research, to show how the self-organizing map (SOM) method can be used in terms of educational data mining, how SOM differs from other…
Descriptors: Science Instruction, Scientific Literacy, Data Analysis, Artificial Intelligence
Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 2 contains 15 papers dealing the practice of instructional technology including instruction and training…
Descriptors: Educational Technology, Technology Uses in Education, Inclusion, Higher Education
Lopez-Varela, Asuncion, Ed. – InTech, 2012
This is a unique and groundbreaking collection of questions and answers coming from higher education institutions on diverse fields and across a wide spectrum of countries and cultures. It creates routes for further innovation, collaboration amidst the Sciences (both Natural and Social), the Humanities, and the private and public sectors of…
Descriptors: Social Sciences, Knowledge Management, Research Methodology, Higher Education
Liu, Suxia; Zhu, Xuan – Journal of Geography, 2008
Geographic information systems (GIS) are computer-based tools for geographic data analysis and spatial visualization. They have become one of the information and communications technologies for education at all levels. This article reviews the current status of GIS in schools, analyzes the requirements of a GIS-based learning environment from…
Descriptors: Geography Instruction, Constructivism (Learning), Visualization, Information Systems
Brown, Robert S.; Baird, William; Rosolen, Lisa – 1999
In January 1998, seven school boards amalgamated to form the Toronto District School Board, a board responsible for 600 schools. To deal with the complexities of the new entity, researchers have been using geographical information systems (GIS). GIS are computer-based tools for mapping. They store information as a collection of thematic layers or…
Descriptors: Cartography, Computer Uses in Education, Data Analysis, Data Collection
Carron, Gabriel, Ed.; Chau, Ta Ngoc, Ed. – 1980
Four lengthy papers and an introduction discuss case studies of regional disparities in educational development in Cameroon, Madagascar, Kenya, Tanzania, and Thailand. In considering the specific political and socioeconomic contexts of these countries, the papers focus on methods of both analyzing the causes of disparities and reducing the…
Descriptors: Case Studies, Comparative Analysis, Data Analysis, Differences
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection