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Çakit, Erman; Dagdeviren, Metin – Education and Information Technologies, 2022
In recent years, there has been an increase in the demand for higher education in Turkey, where the demand, as in most other countries, exceeds what is available. The main purpose of this research is to develop machine learning algorithms for predicting the percentage of student placement based on the data related to the university's academic…
Descriptors: Student Placement, Foreign Countries, Artificial Intelligence, Mathematics
Kemiche, Zahra; Beighton, Christian – Journal for Critical Education Policy Studies, 2021
Following a damning report into racism in United Kingdom Higher Education (EHRC, 2019), this paper discusses students' experiences of racism in HE. Focusing on the connections between lived experience and wider goals and trends in the Internationalisation of the university sector, we discuss accounts of racist practices on campus through the…
Descriptors: Racial Bias, Higher Education, Stranger Reactions, Student Attitudes
Bowl, Marion; Hughes, Jonathan – Studies in Higher Education, 2016
This paper explores how English universities operating in a "quasi-market" are managing the tension between two policy expectations: the first that they should encourage social mobility by widening the social base of their student population; the second that they should compete with other universities to attract students and thereby…
Descriptors: Access to Education, Educational Policy, Guidelines, Foreign Countries
Parahoo, Sanjai K; Santally, Mohammad Issack; Rajabalee, Yousra; Harvey, Heather Lea – Journal of Marketing for Higher Education, 2016
Higher education institutions consider student satisfaction to be one of the major elements in determining the quality of their programs. The objective of the study was to develop a model of student satisfaction to identify the influencers that emerged in online higher education settings. The study adopted a mixed method approach to identify…
Descriptors: Undergraduate Students, Student Satisfaction, Prediction, Models
Lee, Jung-Sook – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
I used data from the 1995 cohort of the Longitudinal Surveys of Australian Youth to investigate the factors associated with the attainment of Australian university degrees and estimate their domestic labour market benefits. I considered vertical and horizontal stratification in education and examined monetary and non-monetary benefits. The…
Descriptors: Foreign Countries, Higher Education, Educational Attainment, Longitudinal Studies
Lin, Zeng, Gao, Yan-he – Online Submission, 2010
One of the key features of American hegemonic power is the ability to attract talents from all over the world, especially in those shortage areas of science and technology. To explore what is behind the advanced American higher education system, this research compares native and foreign born faculty using four dimensions: demographics, field of…
Descriptors: Productivity, Higher Education, Universities, Journal Articles
West, Russell F.; And Others – 1984
Characteristics that might help predict student prominence within a medical school class were studied. The prominent student is one who is highly visible and extensively involved in key relationships with other students. This prominence is expected to provide the student with greater access to information and resources held by classmates. A total…
Descriptors: Class Rank, Higher Education, Interpersonal Relationship, Medical Students
Dyson, Dave; Kirkman, Ralph – AGB Reports, 1989
A survey of the presidents of the South's "best" colleges and universities, as reported by a national news magazine, indicates how presidents use their time, how they predict they will use their time, and what they think is the best preparation for the college presidency. (Author/MSE)
Descriptors: Administrator Attitudes, Administrator Qualifications, College Presidents, Higher Education
AGB Reports, 1991
Research on voluntary college mergers led to development of a model predicting the probability of a merger with 80-100 percent accuracy. The model was based on fundamental governing board concerns about mission, risk, and reputation. Results reveal the merger negotiation process is dynamic and reveals characteristics of successful approaches. (MSE)
Descriptors: Attitudes, Colleges, Governance, Governing Boards

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