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Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
Lindsay, Jim; Wan, Yinmei; Berg-Jacobson, Alexander; Walston, Jill; Redford, Jeremy – Regional Educational Laboratory Midwest, 2016
Every year the U.S. Department of Education reports for each state in the country the grade levels, subject areas, and geographic areas that have experienced teacher shortages (U.S. Department of Education, Office of Postsecondary Education, 2015). A teacher shortage occurs when the number of teachers available in a specific grade, subject matter…
Descriptors: Teacher Supply and Demand, Teacher Shortage, State Legislation, Surveys
National Academies Press, 2018
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…
Descriptors: Undergraduate Students, Data, Data Analysis, Information Utilization

Firnberg, James W.; Christal, Melodie E. – College and University, 1984
A survey of institutions concerning their reporting of data on the Higher Education General Information Survey and specifically examining the differences in definitions and calculations among reporting institutions, confirmed suspected problems of comparability of information. The impact of these differences on data interpretation is discussed.…
Descriptors: Computation, Data Analysis, Definitions, Federal Government