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Grodoski, Chris – Art Education, 2018
Storing data and interpreting data are two very different endeavors; interpreting data is necessary for its transformation into actionable knowledge and new questions. On its own, data are not meaningful information. However, data visualization, like art making, offers another means to create order from chaos; it is an opportunity to identify…
Descriptors: Art Education, Data, Visual Aids, Data Interpretation
National Science Foundation, Arlington, VA. Div. of Science Resources Studies. – 2002
This report presents information on the amount of science and engineering (S&E) research space existing at U.S. colleges, universities, and nonprofit biomedical research institutions based on research data collected biennially through the National Science Foundation. Data are also provided on the adequacy of this research space to meet current…
Descriptors: Data, Engineering, Facility Requirements, Higher Education
National Science Foundation, Washington, DC. Div. of Science Resources Studies. – 1978
This report contains the findings of the National Science Foundation (NSF) Survey of Scientific and Engineering Expenditures at Universities and Colleges, FY 1977. The survey was mailed to 539 universities and colleges including all graduate-degree-granting institutions and all others that spent $50,000 or more for R&D activities. Estimates made…
Descriptors: Data, Federal Aid, Federal Programs, Financial Support
Connection: The Journal of the New England Board of Higher Education, 2002
This issue contains data on trends and indicators of New England higher education, including demography, admissions, enrollment, degrees, educational attainment and income, student migration, retention and graduation, financing higher education, and university research and development. It also includes articles related to the data and on New…
Descriptors: Academic Persistence, College Admission, College Attendance, Data