The Question of International Tuition Fees: Cash Cows and Silent Elephants

Author(s):  
Stuart Tannock
Keyword(s):  
2021 ◽  
Vol 3 (1) ◽  
pp. 100105
Author(s):  
The Cuong Nguyen ◽  
Abdul Hafeez-Baig ◽  
Raj Gururajan ◽  
Nam C. Nguyen

2020 ◽  
Vol 3 (3) ◽  
pp. 330-334
Author(s):  
Novita Ria Lase ◽  
Fristi Riandari

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.


2015 ◽  
Vol 20 (3) ◽  
pp. 110-123 ◽  
Author(s):  
Sheryl Clark ◽  
Anna Mountford-Zimdars ◽  
Becky Francis

Rising tuition fees in England have been accompanied by a policy mandate for universities to widen participation by attracting students from socio-economically disadvantaged backgrounds. This article focuses on one such group of high achieving students and their responses to rising tuition fees within the context of their participation in an outreach scheme at a research-intensive university in the UK. Our findings suggest that rather than being deterred from attending university as a result of fee increases, these young people demonstrated a detailed and fairly sophisticated understanding of higher education provision as a stratified and marketised system and justified fees within a discourse of ‘private good.’ Our analysis situates their ‘risk’ responses within the discursive tensions of the fees/widening participation mandate. We suggest that this tension highlights an intensified commodification of the relationship between higher education institutions and potential students from disadvantaged backgrounds in which widening participation agendas have shifted towards recruitment exercises. We argue that an ongoing effect of this shift has resulted in increased instrumentalism and a narrowing of choices for young people faced with the task of seeking out ‘value for money’ in their degrees whilst concurrently engaging in a number of personalised strategies aimed at compensating for social disadvantage in a system beset by structural inequalities.


2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Pierre-Bruno Ruffini

As other sectors, higher education can be characterized by the combination of market mechanisms and state intervention in its funding and organization. Although higher education systems of developed countries pursue similar goals (provide high-level manpower, meet individual and social demands, etc.) and face similar challenges (massive expansion, internationalization, MOOCs, etc.) their economic models differ significantly. In some countries, universities are public and charge no or very low tuition fees, whereas in other countries, the cost-sharing with parents and students is much more demanding. The paper will try to underscore and explain these differences by drawing on the lessons of economic analysis and on the historical and cultural background of countries.


2019 ◽  
Vol 3 (2) ◽  
pp. 105-112
Author(s):  
Rani Rotul Muhima ◽  
Andy Rachman ◽  
Rahmi Rizkiana Putri ◽  
Farida Farida ◽  
Danang Haryo Sulaksono

The administration of TPA Al-Mursyidien was still manual. TPA, which is located on Jalan Semolowaru No. 114-118, Semolowaru Surabaya, has had a number of students to hundreds of santri. This is troublesome for the teacher who is also the TPA administration. TPA already has information and communication technology infrastructure facilities but is still not optimally utilized. In fact, ICT can be used to assist TPA’s administration management. Based on these problems, at the ITATS Informatics Engineering Program (PPM) was made application called the "Al-Mursyidien APP". This application is used as a database of santri, instructors, management of data in and out of students, in and out of lecturers, management of student tuition fees and management of teacher payroll at TPA Al-Mursyidien In addition to making these applications, training on the application is used as well as making modules for application usage "APP's Al-Mursyidien".


2021 ◽  
pp. 36-41
Author(s):  
Rahmad Supriadi ◽  
Gunadi Widi Nurcahyo

Dharma Andalas University is a change in form from the Dharma Andalas Higher School of Economics (STIE). Dharma Andalas University is one of the private universities in the city of Padang which is under the auspices of the Andalas Dharma Education Foundation (YPDA) which is directly fostered by the Andalas University alumni association. Dharma Andalas University is a private university so operational costs come from student tuition fees. Payment of tuition fees is an obligation of every student, considering that tuition fees are quite expensive, Dharma Andalas University provides relief for students to make tuition payments in installments. The purpose of this study is to assist the leadership in making a decision to pay installments using the Weighted Product method. In this study, the data processed is the data of students who apply for installment tuition payments at Dharma Andalas University. The data processing is to determine the criteria for each alternative by multiplying for attribute match reting, then rank with the attribute weight value which results in the vector value V, then the vector value V is ranked from the highest value to the lowest value where the highest value will be prioritized. Furthermore compared to the manual calculation method with a system that has been made, the results are the same with an accuracy rate of 97%, so that it can be recommended to the leadership to help make decisions about the payment of tuition installments.


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