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The Effect of Work Placements on the Academic Performance of Chinese Students in UK Higher Education
Crawford, Ian; Wang, Zhiqi – Teaching in Higher Education, 2015
The main controversy as a result of the commercialisation of international education markets is that international students especially those from China are unable to perform as well as UK students in UK universities. So far, research has yet to identify the influence of placements on the academic performance of Chinese students from entry to…
Descriptors: Foreign Countries, Higher Education, Academic Achievement, Job Placement
Singh, Mamta K. – ProQuest LLC, 2009
Although the educational evaluation process is useful and valuable and is supported by the Higher Education Act, a strong research base for program evaluation of college entry-level science courses is still lacking. Studies in science disciplines such as, biology, chemistry, and physics have addressed various affective and demographic factors and…
Descriptors: Majors (Students), High Schools, College Science, Federal Aid
Suen, Hoi – Journal of Developmental and Remedial Education, 1979
Describes an inductive approach to the evaluation of developmental studies programs using multiple regression analysis to explore variables that contribute to program success. (DR)
Descriptors: Developmental Programs, Evaluation Methods, Higher Education, Multiple Regression Analysis
Longuevan, Craig; Shoemaker, Judith – 1991
The Tutorial Assistance Program (TAP) of the University of California (Irvine) is described and a new method of evaluation is illustrated through an analysis of the performance of students in six large introductory classes. This approach to evaluation starts with a multiple regression equation for predicting course grades of those not in tutoring…
Descriptors: Comparative Analysis, Grade Point Average, Higher Education, Multiple Regression Analysis

Schroeder, Emily H.; Donaldson, Joe F. – Continuing Higher Education Review, 1990
Data from student evaluations of a master's degree program (n=139, 45 percent response) are used to demonstrate four techniques: factor, correlational, discriminant, and multiple regression analysis. Their usefulness in identifying causal factors related to program quality is discussed. (SK)
Descriptors: Continuing Education, Correlation, Credit Courses, Discriminant Analysis
Hearn, James C. – 1985
This report investigated the determinants of college students' overall evaluations of their academic programs (major field of study). The manner in which students weight the various domains of satisfaction and dissatisfaction in determining their level of overall program satisfaction was examined. The gender differences and field differences in…
Descriptors: College Seniors, Higher Education, Majors (Students), Models
Morris, Marian; Rutt, Simon – National Foundation for Educational Research, 2006
Aimhigher: Excellence Challenge (initially known as Excellence Challenge) was specifically established by the Department for Education and Skills (DfES) in 2001, with the aim of increasing the number of young people from disadvantaged backgrounds who had the qualifications and aspirations necessary to enter higher education. The analysis conducted…
Descriptors: Higher Education, Profiles, Longitudinal Studies, Research Reports