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Zinkovsky, K. V.; Derkachev, P. V. – Russian Education & Society, 2018
We investigate the main question of whether higher education institutions are able to increase their performance due to mergers, takeovers, or organizational restructuring. The problem of measuring performance when there are several "output" and "input" indicators can currently be solved by recourse to a proven data analysis…
Descriptors: Educational Change, Organizational Change, Higher Education, Institutional Evaluation
Enora Bennetot Pruvot; Thomas Estermann; Nino Popkhadze – European University Association, 2023
The Scorecard 2023 provides a full comparative analysis of the state of play of university autonomy in 35 higher education systems in Europe. With findings across four dimensions of university autonomy -- organisational, financial, staffing, academic - the Scorecard supports an evidence-based dialogue on this crucial topic. This allows concrete…
Descriptors: Foreign Countries, Institutional Autonomy, Universities, Profiles
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Polkinghorne, Martyn; O'Sullivan, Helen; Taylor, Julia; Roushan, Gelareh – Studies in Higher Education, 2021
The value for money of UK undergraduate degree courses is under increasingly critical scrutiny. Understanding the level of learning achieved by students on any particular course has therefore become of paramount importance as an indicator of teaching quality. The change to the learning that a student undertaking a course has acquired can be…
Descriptors: Marketing, Higher Education, Achievement Gains, Learning Processes
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Langan, A. M.; Harris, W. E.; Barrett, N.; Hamshire, C.; Wibberley, C. – Studies in Higher Education, 2018
There is an increasing requirement in higher education (HE) worldwide to deliver excellence. Benchmarking is widely used for this purpose, but methodological approaches to the creation of benchmark metrics vary greatly. Approaches require selection of factors for inclusion and subsequent calculation of benchmarks for comparison. We describe an…
Descriptors: Benchmarking, Nursing Education, Prediction, Graduation Rate
Baum, Sandy; Blom, Erica; Cohn, Jason – Urban Institute, 2022
All students deserve to attend programs and institutions that meet high quality standards. But different program goals, investments of time, and eligibility criteria make it difficult to set specific standards that will apply equally well to all types of programs and institutions. This report sets out principles for developing an accountability…
Descriptors: Eligibility, Accountability, Outcomes of Education, Risk
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Klasik, Daniel; Hutt, Ethan L. – Journal of Higher Education, 2019
Recent trends in higher education (rising debt, school closures, increasing tuition) have increased interest in improving accountability and oversight in U.S. higher education beyond current accreditation practices. Common solutions include using quantitative measures like graduation and default rates to benchmark performance. Using historical…
Descriptors: Accreditation (Institutions), Educational Trends, Educational History, Comparative Analysis
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Chinta, Ravi; Kebritchi, Mansureh; Ellias, Janelle – International Journal of Educational Management, 2016
Purpose: Performance evaluation is a topic that has been researched and practiced extensively in business organizations but has received scant attention in higher education institutions. A review of literature revealed that context, input, process, product (CIPP) model is an appropriate performance evaluation model for higher education…
Descriptors: Higher Education, Institutional Evaluation, Models, Performance Based Assessment
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Perera, Srinath; Babatunde, Solomon Olusola; Zhou, Lei; Pearson, John; Ekundayo, Damilola – Studies in Higher Education, 2017
Recognition of the huge variation between professional graduate degree programmes and employer requirements, especially in the construction industry, necessitated a need for assessing and developing competencies that aligned with professionally oriented programmes. The purpose of this research is to develop a competency mapping framework (CMF) in…
Descriptors: Competence, Maps, Higher Education, Graduate Study
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Wagner, Ellen; Longanecker, David – Change: The Magazine of Higher Learning, 2016
The metrics used in the US to track students do not include adults and part-time students. This has led to the development of a massive data initiative--the Predictive Analytics Reporting (PAR) framework--that uses predictive analytics to trace the progress of all types of students in the system. This development has allowed actionable,…
Descriptors: Predictor Variables, Reflection, Academic Achievement, Models
Rickels, Heather Anne – ProQuest LLC, 2017
The demand for STEM college graduates is increasing. However, recent studies show there are not enough STEM majors to fulfill this need. This deficiency can be partially attributed to a gender discrepancy in the number of female STEM graduates and to the high rate of attrition of STEM majors. As STEM attrition has been associated with students…
Descriptors: Higher Education, College Readiness, STEM Education, Benchmarking
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Richardson, Sarah; Coates, Hamish – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
The global context of contemporary higher education demands international benchmarks. Quality assurance of teaching and learning would benefit from the insights gained from cross-cultural assessments. If cross-cultural assessments are used it is imperative that equivalence is assured, requiring attention to the technical standards used. In this…
Descriptors: Educational Assessment, Higher Education, Global Approach, Benchmarking
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Borden, Victor M. H.; Calderon, Angel; Fourie, Neels; Lepori, Benedetto; Bonaccorsi, Andrea – New Directions for Institutional Research, 2013
Efforts to develop common higher education data standards are expanding both within and across countries. The institutional research (IR) community plays a critical role in assuring that these efforts capture the diverse manifestations of the postsecondary and tertiary education systems and promote responsible comparisons. This chapter provides…
Descriptors: Higher Education, Institutional Research, Data Collection, School Statistics
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Boronico, Jess; Choksi, Shail S. – American Journal of Business Education, 2012
The New York Institute of Technology's (NYIT) School of Management (SOM) wishes to develop a list of peer institutions for the purpose of benchmarking and monitoring/improving performance against other business schools. The procedure utilizes relevant criteria for the purpose of establishing this peer group by way of a cluster analysis. The…
Descriptors: Business Administration Education, Higher Education, Multivariate Analysis, Benchmarking
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Levy, Gary D. – New Directions for Institutional Research, 2012
Although the notion is certainly cliched, baseball often serves as an excellent metaphor for life. Some of the methodologies currently being used to measure, evaluate, manage, and even play baseball may serve as references for ways that higher education may be measured, evaluated, managed, and played. This chapter proposes and presents…
Descriptors: Higher Education, Figurative Language, Team Sports, Statistical Analysis
Roselli, Nestor D. – Journal of Educational Psychology - Propositos y Representaciones, 2016
Collaborative learning is a construct that identifies a current strong field, both in face-to-face and virtual education. Firstly, three converging theoretical sources are analyzed: socio-cognitive conflict theory, intersubjectivity theory and distributed cognition theory. Secondly, a model of strategies that can be implemented by teachers to…
Descriptors: Cooperative Learning, Social Cognition, Dialogs (Language), Collaborative Writing
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