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Download full textPelánek, 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
Direct linkLopez-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
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
