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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
Mulvenon, Sean W.; Wang, Kening; McKenzie, Sarah; Airola, Denise – Educational Research Quarterly, 2006
Effective exploration of spatially referenced educational achievement data can help educational researchers and policy analysts accelerate interpretation of datasets to gain valuable insights. This paper illustrates the use of Geographic Information Systems (GIS) to analyze educational achievement gaps in Arkansas. It introduces the Geographic…
Descriptors: Program Effectiveness, Maps, Policy Analysis, Information Systems

Dando, William A. – International Journal of Social Education, 1990
Delineates the nature of applied geography, asserting that geography links the natural and social sciences. Underscores geography's role in data analysis and problem solving on a global scale. Traces the discipline's history. Maps geography's status in higher education institutions. Discusses new technologies used by geographers. Summarizes career…
Descriptors: Careers, Cartography, Computers, Data Analysis
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