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Tao, Jinsong; McClure, Stephen C.; Zhang, Xiaoxing; Waqas, Muhammad; Wen, Xishan – International Journal of Technology and Design Education, 2020
Assessments of new pedagogical practices usually rely on instructor oriented surveys and questionnaires to measure student perceptions of teaching methods; however, fixed response categories in structured questionnaires might bias results. This paper demonstrates a mixed methods approach using open and multi-dimensional scaling (MDS) for a…
Descriptors: Engineering Education, Multidimensional Scaling, Teaching Methods, Visualization
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Casola, Linda – National Academies Press, 2020
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…
Descriptors: Meetings, Data Analysis, Postsecondary Education, Statistics Education
Reiss, Susan; Garrigan, Kathleen; Mixon, Bobbie; Hunter, Dana; Quade, Brittany; Zaninno, Denise – National Science Foundation, 2017
The National Science Foundation's (NSF) decades-long investment in science and engineering (S&E) research helped build the backbone of the U.S. scientific enterprise and transformed universities and colleges into centers of scientific innovation, creativity, knowledge and discovery. It also brought about the benefits of scientific…
Descriptors: Science Education, Engineering Education, Educational Innovation, Scientific Research
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Strayhorn, Terrell L. – New Directions for Institutional Research, 2010
Increasing the number of students who complete advanced degrees in science, technology, engineering, and mathematics (STEM) fields is a compelling national interest. Although college science and engineering degree completion rates have improved considerably over the past few decades, significant gaps persist among women and students of color. Gaps…
Descriptors: STEM Education, Academic Aspiration, Minority Groups, Access to Education
Congress of the U.S., Washington, DC. Senate Committee on Labor and Human Resources. – 1984
These hearings focused on the reauthorization of appropriations for the National Science Foundation (NSF) for fiscal year (FY) 1985. (The Reagan administration's request for the NSF was $1.5 billion, an increase of 13.6 percent over the FY 1984 budget.) The hearings include a prepared statement from Edward Knapp (NSF director) which provides an…
Descriptors: Budgets, Computer Science, Engineering, Engineering Education
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Lepkowski, Wil – Chemical and Engineering News, 1985
The National Science Foundation (NSF) has awarded support for supercomputer centers at Cornell University, Princeton University, University of California (San Diego), and University of Illinois. These centers are to be the nucleus of a national academic network for use by scientists and engineers throughout the United States. (DH)
Descriptors: College Science, Computer Science, Computers, Engineering Education
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Physics Today, 1982
Reviews current and future research endeavors supported by funds from industry focusing on research and development centers at various universities and industries which support scientific research. (SK)
Descriptors: College Science, Computer Science, Engineering Education, Federal Aid
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Gomberg, Irene L.; Atelsek, Frank J. – 1980
At the request of the National Science Foundation (NSF), the Higher Education Panel (a stratified sample of 760 colleges and universities) collected information on the level of institutional expenditures for research equipment, the federal contribution to those expenditures, and the share of funds expended for high-cost items. The data were…
Descriptors: Chemistry, Computer Science, Doctoral Programs, Engineering Education
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Norman, Colin – Science, 1982
Electronics companies, faced with growing competition from Japan and fearing a shortage of well-trained Ph.D.'s, are pouring unprecedented amounts of cash into university electrical engineering, computer science, and other science departments. Specific examples are cited. (Author/JN)
Descriptors: College Science, Computer Science, Electronics, Engineering