Survey of land-grant colleges and universities, section of Bulletin, 1930,

Directed by A. J. Klein, chief, Division of collegiate and professional education, Office of education.

Federal Highway Administration & historically black colleges and universities : increased opportunities through partnering.

Mode of access: Internet.

Library statistics of colleges and universities ... institutional data.

1959/60- issued also as United States. Office of Education. Circular; <1969-1975> as Library statistics; < > as DHEW publication; <1975, 1977> as NCES; 1976 as University of Illinois, Graduate School of Library Science. Monograph no. 16

A study of the teaching of mechanical drawing in the public schools, colleges and universities of Ohio,

Mode of access: Internet.

Library statistics of colleges and universities:

Mode of access: Internet.

Studies and research in home economics education reported by colleges and universities, with ... supplement indicating studies reported in published form. U.S. Department of the interior. Office of education. Washington, D.C.

Multigraphed.

Engineering experiment station record, summary; a summary of engineering research at the land-grant colleges and universities, 1929.

Mode of access: Internet.

The teaching of bacteriology in colleges and universities,

Mode of access: Internet.

Exhibit of patent policies in 22 colleges and Universities.

Mode of access: Internet.

Iowa State University : premedical and health sciences, 2005

Includes information on Premedical and Health Sciences programs available at Iowa State University.

Activities of science and engineering faculty in universities and 4-year colleges, 1978/79 : final report /

Principally tables.

The development of a new four-year Construction Technology and Management Stream at QUT

This paper focuses on the development and delivery of a core construction management (CM) unit, which forms the capstone of a four-unit CM stream in an undergraduate programme in the Faculty of Built Environment and Engineering at the Queensland University of Technology. UDB410 (Construction Management) is a final year unit that consolidates skills students have learned throughout their degree, hopefully graduating them as work-ready construction managers. It was developed in consultation with the Queensland Chapter of the Australian Institute of Building (AIB) and is a final year unit in the undergraduate Bachelor of Urban Development (CM) course. The unit uses various tools such as the OSIRIS business database (Bureau van Dijk Electronic Publishing, 2009), the AROUSAL (UK Version) construction business simulation (Lansley, 2009) and the Denison Organisational Culture Survey (Denison, 2000) to facilitate the development of skills in managing a construction company. The objectives of the paper are: • To track the rationale and development of the UDB410 unit sand describe the way in which this final year unit integrates learning from other parts of the course within which it is located as well as capping-off the CM stream of core units; • To highlight the difficulties of blending a balance of technology and management in a single unit; and • To explain how partnering with the construction industry benefited the learning quality of the unit.

The college library ; a descriptive study of the libraries in four-year liberal arts colleges in the United States.

The results of two years' investigations made by and for the Advisory group of college libraries of the Carnegie corporation of New York, W. W. Bishop, chairman. cf. chapter I.

The Long and Winding Road: Heterogeneity in the Form and Timing of Postsecondary Education

Thesis (Ph.D.)--University of Washington, 2016-06

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.