The higher education management institute: Organization development through increased management effectiveness

1982 ◽  
Vol 1982 (37) ◽  
pp. 55-67 ◽  
Author(s):  
Dauid L. Kest
2021 ◽  
Vol 4 (48) ◽  
pp. 5
Author(s):  
O. Vorobyova

The article presents the results of empirical research of the main theoretical approaches to the concept of efficiency of management services in the field of higher education. It is determined that the concept of efficiency management is a complex multifaceted indicator that includes certain performance indicators related to efficiency, profitability, effectiveness, etc., in economics and management there is no single general approach to determining the effectiveness of management. It is proved that the effectiveness of management is a complex indicator that determines the use of resource opportunities to achieve a certain goal, and these concepts are complementary and interrelated, this approach from the point of view of economics is integrated with all management functions.Ключові слова: higher education; management efficiency; management effectiveness; management efficiency in higher education; educational services.


2021 ◽  
pp. 1-10
Author(s):  
Chao Dong ◽  
Yan Guo

The wide application of artificial intelligence technology in various fields has accelerated the pace of people exploring the hidden information behind large amounts of data. People hope to use data mining methods to conduct effective research on higher education management, and decision tree classification algorithm as a data analysis method in data mining technology, high-precision classification accuracy, intuitive decision results, and high generalization ability make it become a more ideal method of higher education management. Aiming at the sensitivity of data processing and decision tree classification to noisy data, this paper proposes corresponding improvements, and proposes a variable precision rough set attribute selection standard based on scale function, which considers both the weighted approximation accuracy and attribute value of the attribute. The number improves the anti-interference ability of noise data, reduces the bias in attribute selection, and improves the classification accuracy. At the same time, the suppression factor threshold, support and confidence are introduced in the tree pre-pruning process, which simplifies the tree structure. The comparative experiments on standard data sets show that the improved algorithm proposed in this paper is better than other decision tree algorithms and can effectively realize the differentiated classification of higher education management.


Education ◽  
2019 ◽  
Author(s):  
Paul Temple

Universities are distinctive as organizational forms in having emerged in early medieval Europe and then spread around the world while remaining recognizably similar. The management of early universities appears to have been based on what has become known as the “collegial” model: shared decision making by the more senior academic staff, with rotating functional responsibilities fitted into normal teaching duties. In England, Oxford and Cambridge colleges (and to some extent the universities they constitute) continue to exhibit this pattern. Early universities were clearly able to take decisions that could be described as “strategic”: commitments to major building projects, for example. As universities began in the 19th century to expand in size and numbers in Europe, the United States, and elsewhere, more senior permanent managerial posts were created to support the underlying collegial arrangements: the University of London’s first paid administrator, the registrar, was appointed in 1838. But it was the expansion of higher education, particularly in western Europe and the United States in the second half of the 20th century, which created the modern profession of higher education management. In most countries in the 21st century, higher education is either state directed or steered at a distance by state agencies (even when actual ownership is private). Yet typically institutional autonomy is publicly prized, often by the same governmental agencies that seek to limit it. This tension, between governmental control (both finance and politics are involved) and institutional autonomy (which is associated with high academic achievements internationally), mean that the skills demanded of university managers are of a distinctive character, and have some broad similarities across countries and cultures. These include the ability to recognize that university academics do not generally see themselves as employees of an enterprise in the usual sense and demand (with varying degrees of success) substantial autonomy in how they carry out their duties. The tension between what academics may see as reasonable demands for individual autonomy and the requirements of operating an organization employing thousands of staff, along with tens of thousands of students, has become more acute in recent years. It should be noted that while the categories chosen for the listing of works in this article would be generally understood by most scholars of higher education, there are considerable conceptual overlaps, as the various category topics inevitably influence one another: strategy cannot be wholly divorced from finance or governance, and so on.


Author(s):  
Payman Biukaghazadeh

The optimal arrangement of the curriculum is an important part of every educational program. During the decision making about this arrangement, one should consider many factors which have impact on the curriculum. In this chapter, a struggle to the design of the curriculum through graph theory is made.


2021 ◽  
Vol 4 (3) ◽  
pp. 001
Author(s):  
Santiago Del-Castillo ◽  
Leo Ramos ◽  
Demmy Mora-Silva

Higher education is the last phase of the academic learning process, that is, the one that comes after the secondary stage. It is provided at universities, colleges or technical training academies. The education offered by higher education is at the professional level. The objective of the study was to analyze the management of Higher Education in the country and to describe the main activities of the institutions linked to these activities. The main results indicate that three institutions are the protagonists in management. The Secretariat of Higher Education, Science, Technology and Innovation (SENESCYT), the Council for Quality Assurance in Education (CACES) and the Council of Higher Education (CES). Higher education is one of the main drivers of societal evolution. Investing in education is vital to ensure a prosperous and competitive socioeconomic system. Higher education has a high responsibility to society: they are responsible for preparing the professionals of the future.


Author(s):  
Hilmi Aulawi

Research productivity constitutes a key factor in maintaining the sustainability of higher education management. This study aims to identify the impact of knowledge sharing on research productivity in higher education. This research is a mixed-methods study with a sequential explanatory case study design. Quantitative analysis of questionnaires was initially performed by using linear regression. The participants included 35 lecturers working for a private university in Indonesia. The following stage involved further verifying the questionnaire results by means of quantitative analysis of interview data, documents, and focus group discussion (FGD). Results substantiated that knowledge sharing positively and significantly influenced the university's research productivity. In addition, it was revealed that existing expert groups, knowledge-sharing agenda, collaborative research, facility support, funds, partnership with external institutions and human resources development program contributed to the enhancement of lecturers' ability to generate ideas and engage in research endeavors.


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