Prediction of Higher Education Cost and Analysis of Sharing Ability Based on Artificial Neural Network

Xia, Zhen; Yue, Xin; Niu, FanChao; Hu, Zhihua

doi:10.1155/2022/7649918

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Among the higher education financing schemes used, the " Income-Contingent Loan" method has been found to be the one with the highest performance. In this context, since higher education is an expensive service that cannot be offered to everyone who wants it without imposing almost no cost on higher education students, it has become quite common for countries to offer this service for a fee on a cost-sharing basis (Vossensteyn, 2000;Jonglobed, 2004;Johnstone & Marcucci, 2007;Xia et al, 2022;Gölpek, 2011;Özekicioğlu, 2013). Within the scope of the study, it is suggested that the " Income-Contingent Loan" financing policy (Chapman, 2014;Johnstone, 2009;Özekicioğlu, 2013;Britton et al, 2019), which has been highly preferred in the financing of higher education in recent years worldwide, should be adapted to the Turkish higher education system and implemented as a new financing strategy.…”

Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Higher Education Financing Policies Used by OECD Member Countries and Financing Policy Proposal for Türkiye

Çetinkaya,

Çavdar

2024

İnsan Ve Sosyal Bilimler Dergisi

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The Turkish higher education system has developed remarkably in parallel with the developments and changes in the world today. With the ease of access to higher education for students and the increase in the number of students, higher education costs are increasing. This situation puts the higher 2weducation system under financial pressure in countries that provide higher education financing from public sources. In this study, higher education financing methods used worldwide are compared and the most appropriate financing method for Türkiye is discussed. For this purpose, the Entropy method was used in weighting the criteria determined for the evaluation of financing policies, and the performance analysis of the alternatives was carried out with the TOPSIS method, which is one of the multi-criteria decision-making methods. Alternative decision options for financing higher education are based on "No Fee", "Pre-charging" and "Income-Contingent Loan-ICL" methods and the main criteria are enrollment, education expenditures and labor force. In this context, sub-criteria were created and the financing methods used by OECD countries were analyzed. Within the scope of the study, it has been determined that the financing methods used by Norway, the Netherlands and the United Kingdom in higher education systems are in the top three. In this context, it has been determined that the "Income-Contingent Loan" method used by the first and third ranked countries is the most preferred method in terms of performance.

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Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Higher Education Financing Policies Used by OECD Member Countries and Financing Policy Proposal for Türkiye

Çetinkaya,

Çavdar

2024

İnsan Ve Sosyal Bilimler Dergisi

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“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

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confidence: 99%

Retracted: Prediction of Higher Education Cost and Analysis of Sharing Ability Based on Artificial Neural Network

2023

Security and Communication Networks

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A Comparative Perspective on Fee Policies Used in OECD Countries for Financing Higher Education

Çetinkaya,

Çavdar

2024

JOSSE

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One of the biggest problems faced by countries globally is the financing of higher education. Especially in the face of increasing demand for higher education and limited public resources, countries are in need of reform in terms of financing higher education. In recent years, there has been a global trend towards the adoption of higher education financing strategies that focus on cost sharing. The purpose of this study is to examine the higher education financing policies of countries with different systems compared to Turkey, to address the financial challenges in Turkish higher education financing, to recognize alternative financing options and to suggest strategies for Türkiye to expand its financing sources. For this reason, the study is “descriptive” and the data on the countries are analyzed by using the “documentary scanning” method. A comparative perspective on higher education financing is presented by analyzing the current higher education financing policies in OECD countries and their current remuneration schemes. The study covers all OECD member countries. As a sample, the current state of financing models and fee structures in seven countries, including the United States, Australia, Germany, the United Kingdom, China, Japan, Russia, the United States, Australia, Germany, the United Kingdom, China, Japan and Russia, each with different higher education finance policies, are presented. In order to improve higher education financing in Türkiye, it is suggested that the “Income- Contingent Loan” method, which is offered to the student on an optional basis in the collection of debts in higher education financing systems, should be implemented as an alternative student borrowing method, even if it is not generally used in every country.

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Prediction of Higher Education Cost and Analysis of Sharing Ability Based on Artificial Neural Network

Cited by 3 publications

References 20 publications

Comparative Analysis of Higher Education Financing Policies Used by OECD Member Countries and Financing Policy Proposal for Türkiye

Comparative Analysis of Higher Education Financing Policies Used by OECD Member Countries and Financing Policy Proposal for Türkiye

Retracted: Prediction of Higher Education Cost and Analysis of Sharing Ability Based on Artificial Neural Network

A Comparative Perspective on Fee Policies Used in OECD Countries for Financing Higher Education

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