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1

Srivastava, Mrs Namrata. "Impact of Private Tuition at Birsanagar Jamshedpur, Jharkhand." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 2269–72. http://dx.doi.org/10.31142/ijtsrd14607.

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2

Haseeb Khan, Bisma, and Sahar Amjad Shaikh. "Analyzing the Market for Shadow Education in Pakistan: Does Private Tuition Affect the Learning Gap between Private and Public Schools?" LAHORE JOURNAL OF ECONOMICS 18, Special Edition (September 1, 2013): 129–60. http://dx.doi.org/10.35536/lje.2013.v18.isp.a6.

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Over the past decade, Pakistan has seen the rapid growth of a third sector in education: shadow education. According to the Annual Survey of Education Report (2013), 34 percent of private school students and 17 percent of public school students undertake private tuition in Punjab. Anecdotal evidence suggests that private tuition has a positive impact on learning outcomes. Keeping this in view, it is possible that private tuition, rather than a difference in schooling quality, is driving the observed learning gap between public and private schools? This study employs a fixed-effects framework, using panel data from the Learning and Educational Achievement in Punjab Schools (LEAPS) survey, to quantify the impact of private tuition on learning outcomes in public and private schools. We analyze the demand and supply dynamics of the shadow education market in Punjab, and find that private tuition has a positive significant effect on learning outcomes, specifically for public school students. For English, much of the learning gap between public and private schools is explained by the higher incidence of private tuition among private school students, but this is not the case for mathematics and Urdu. We also find that private tuition is predominantly supplied by private school teachers, but that they do not shirk their regular class hours to create demand for their tuition classes, as is normally believed. On the demand side, private tuition acts as a substitute for receiving help at home. Moreover, it supplements formal education rather than substituting for low-quality formal schooling.
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Kim, Hyunchul, and Eunkyoung Seo. "Trend in Private Tuition Expenditure Gaps." Korean Educational Research Association 56, no. 1 (March 30, 2018): 133–53. http://dx.doi.org/10.30916/kera.56.1.133.

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4

Putri, Anisa. "ANALISIS PERBANDINGAN BIAYA KULIAH PROGRAM STUDI S1 AKUNTANSI ANTAR PERGURUAN TINGGI SWASTA DI BEKASI." Paradigma 18, no. 1 (April 14, 2021): 46–52. http://dx.doi.org/10.33558/paradigma.v18i1.2672.

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The purpose of this study was to identify the tuition fee components and to analyze the comparison of tuition fees for the undergraduate accounting study program at private universities in Bekasi. The research method uses descriptive methods. The type of data is secondary data. The data analysis used is descriptive qualitative method. The results showed that the component of tuition fees for undergraduate accounting study programs at private universities in Bekasi consisted of registration fees, development costs, tuition fees per semester, laboratory fees, practice fees, exam fees (UTS and UAS), proposal fees and thesis fees, and graduation fee. The total cost of studying an undergraduate accounting study program at private universities in Bekasi is the most expensive, namely Esa Unggul University. The total cost of studying an undergraduate accounting study program at a private university in Bekasi is the most expensive, namely STIE BII. The total value of tuition fees varies for each private university in Bekasi.
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Carr, Daniel, and Liang Choon Wang. "The Effect of After-School Classes on Private Tuition, Mental Health and Academic Outcomes: Evidence from Korea." Sociology 52, no. 5 (January 17, 2017): 877–97. http://dx.doi.org/10.1177/0038038516677219.

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Using a natural experiment from South Korea’s high school equalisation policy area, we show that school-provided after-school classes reduce students’ time spent in private tuition and the associated household expenditure, as well as increase their likelihood of college attendance. Though high and low income groups use a different mix of unassisted study and private tuition to substitute for after-school class, both consume less private tuition as after-school class hours increase. Importantly, the likelihood of college attendance improves similarly for both high and low income groups. The findings suggest a role for after-school classes in improving the academic outcomes of students and reducing demand for private tuition, but their utility in reducing outcome inequality is less certain.
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Yahiaoui, Habib. "Private Tuition: High Stakes and Thorny Issues." English Language Teaching 13, no. 7 (June 25, 2020): 88. http://dx.doi.org/10.5539/elt.v13n7p88.

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Private tuition or shadow education is a self-contained activity. It is a system that exists parallel to the national education system. The scale of private tuition has witnessed a worldwide skyrocketing increase. The present research sheds light on the determinants that lead to the demand/ supply of private tuition. It examines the issue from the perspectives of the tutors, the tutees and the parents. The stratified sample in the study represents the population of JamaleddineElafghani Secondary School Mascara. The research tools utilised are a questionnaire to the learners, an interview to both the parents and the teachers and observation of sessions of PT to have a complete image of the situation under study. The results demonstrate that the national education system inadequacies like high stake examination, inexperience teachers and large classes have a great impact on the widespread of this phenomenon. The recommendation we suggest is regulating and thus harnessing this activity, or finding an alternative.
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7

Economides, George, Apostolis Philippopoulos, and Stelios Sakkas. "Tuition fees: User prices and private incentives." European Journal of Political Economy 48 (June 2017): 91–103. http://dx.doi.org/10.1016/j.ejpoleco.2016.08.008.

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8

Purba, Ledis Pebriani, Dedy Hartama, Eka Irawan, and Anjar Wanto. "Memprediksi Faktor Tunggakan Uang Kuliah Menggunakan Metode Naive Bayes." Prosiding Seminar Nasional Riset Information Science (SENARIS) 1 (September 30, 2019): 298. http://dx.doi.org/10.30645/senaris.v1i0.35.

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Arrears of tuition will be a problem of the operational costs of private universities. In contrast to PTN (State Universities) which are assisted by the government while PTS (Private Universities) rely on tuition to carry out their activities. In carrying out the lecture process STIKOM Tunas Bangsa Students must carry out their obligations to pay tuition in a timely manner so there is no arrears in tuition. In this study, the method used to determine the factor of arrears of tuition is to use the Naive Bayes classification method. The parameters used are 6, namely C1 (Parent Income), C2 (Dependent Income), C3 (Parent Work), C4 (Residential Status), C5 (Money Abuse) and C6 (External Factor). The data used in this study were obtained by giving questionnaires to students of STIKOM Tunas Bangsa Pematangsiantar. Data training used 156 and testing data,and the most factors were external factors .It is expected that the results of this study can be used to help higher education institutions, especially STIKOM Tunas Bangsa education in knowing tuition arrears so that the best solution can be done to reduce the occurrence of tuition arrears.
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9

Hsing, Yu, and Hui S. Chang. "Testing Increasing Sensitivity of Enrollment at Private Institutions to Tuition and other Costs." American Economist 40, no. 1 (March 1996): 40–45. http://dx.doi.org/10.1177/056943459604000106.

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This paper re-examines the demand for higher education at private institutions and tests if in recent years enrollment has become more sensitive to rising tuition and other related costs. Time series data between FY 1964–65 and FY 1990–91 are used as the sample. Major findings are interesting. The general functional form yields coefficients with smaller standard errors and larger value of the test statistics. The logarithmic form can be rejected at the 5% level. Tuition elasticities rose from −0.261 to −0.557 and income elasticities also increased from 0.493 to 1.093 during the sample period. Thus, enrollment has become more sensitive to changes in tuition and other costs. However, part of the loss of enrollment due to tuition increases can be recovered by rising income elasticities.
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10

Li‐Ping Tang, Thomas, David Shin‐Hsiung Tang, and Cindy Shin‐Yi Tang. "College tuition and perceptions of private university quality." International Journal of Educational Management 18, no. 5 (August 2004): 304–16. http://dx.doi.org/10.1108/09513540410543457.

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11

Andrade, Eduardo de Carvalho. "Higher education: free tuition vs. quotas vs. targeted vouchers." Estudos Econômicos (São Paulo) 40, no. 1 (March 2010): 43–66. http://dx.doi.org/10.1590/s0101-41612010000100002.

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This paper compares theoretically three alternative university systems: the current one adopted in Brazil, in which students who perform better in the entering exam obtain the right to attend the public university without paying the full tuition; a system of affirmative action quotas in public universities, to benefit low income students; and a targeted vouchers system that can be used either to pay private or public university tuiton. The comparison indicates that the last system leads to: (i) a higher quality of the labor force; (ii) a more efficient allocation of resources; and (iii) a greater social mobility.
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12

Bosshardt, Donald I., Larry Lichtenstein, and Mark P. Zaporowski. "A Model Of College Tuition Maximization." Contemporary Issues in Education Research (CIER) 2, no. 1 (January 10, 2011): 53. http://dx.doi.org/10.19030/cier.v2i1.1105.

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This paper develops a series of models for optimal tuition pricing for private colleges and universities. The university is assumed to be a profit maximizing, price discriminating monopolist. The enrollment decision of student’s is stochastic in nature. The university offers an effective tuition rate, comprised of stipulated tuition less financial aid, to each student based on the demographic characteristics of the student. Initially, the applicant poll is assumed to be homogeneous. Subsequently, the quality of the applicant pool is allowed to vary and the university’s tuition maximization problem is subject to quality and capacity constraints. Lastly, we perform a simulation that allows an exploration of the risks associated with the university’s tuition, quality and capacity decisions.
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Keeler, Andrew, and Warren Kriesel. "School Choice In Rural Georgia: An Empirical Analysis." Journal of Agricultural and Applied Economics 26, no. 2 (December 1994): 526–34. http://dx.doi.org/10.1017/s1074070800026432.

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AbstractPrevious empirical studies of school choice have been at the national level, or have focussed on northeastern states. We estimate the demand for private education in rural Georgia, using proportion of private school attendance as an indicator variable. We find that income, tuition, race and school quality are important choice determinants. The results provide useful information for rural school administrators, and suggest that a tuition tax credit would have to be substantial to cause a significant exodus from public schools.
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14

Mubashrah Jamil, Zunaira Fatima Syeda, and Haji Karim Khan. "Impact of Private Tuition on the Mathematics Achievements of Secondary School Students." sjesr 4, no. 1 (March 30, 2021): 539–44. http://dx.doi.org/10.36902/sjesr-vol4-iss1-2021(539-544).

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Private or additional tutoring has a greater impact on learning. It is more frequent among the secondary school students of Science and Mathematics. The purpose of this study was to explore the impact of additional tutoring on the academic achievements of Grad 9 students in Mathematics. In this study, there was one independent variable i. e. additional tuition, and one dependent variable academic achievement. A self-developed questionnaire was administered to conveniently sampled students of three public and one private school from district Sargodha. In total 118 students responded. The research hypothesis was ‘there is no significant relationship between additional tuition and academic achievement’. Collected data were analyzed at α=0.05 (the level of significance) to test the hypothesis. Although nonparametric statistic (Spearman rho and Kruskal-Wallis) was suitable to the type of data we had; nevertheless, we calculated parametric statistic (Pearson r and ANOVA) as well, using SPSS to have a comparative look at the two different types of statistic. Based on our analyses we reject the null hypotheses i. e. there is no significant relationship between additional tuition and academic achievement. We, henceforth, conclude that the additional tuition has a greater impact on the achievement of 9th graders in Mathematics. Thus, we recommend increasing the sample size. A similar investigation in other institutes of higher education could also be an extension to our study. The study may be carried out by adding more variables to academic achievement.
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15

SUMMERS, JEFFREY A. "Net tuition revenue generation at private liberal arts colleges." Education Economics 12, no. 3 (December 2004): 219–30. http://dx.doi.org/10.1080/0964529042000258581.

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16

Levin, Henry M., and Donald E. Frey. "Tuition Tax Credits for Private Education: An Economic Analysis." Journal of Policy Analysis and Management 4, no. 3 (1985): 456. http://dx.doi.org/10.2307/3324205.

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17

Reinoehl, Jason K., and Theodore J. Kowalski. "Tuition Discounting and Socioeconomic Diversity at Larger Private Universities." Strategic Enrollment Management Quarterly 3, no. 3 (October 2015): 202–17. http://dx.doi.org/10.1002/sem3.20070.

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18

Osborne, Allan G. "Reimbursement of Private School Tuition to Parents Since Burlington." Remedial and Special Education 10, no. 5 (September 1989): 58–62. http://dx.doi.org/10.1177/074193258901000509.

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19

West, Edwin G. "Tuition tax credits for private education: an economic analysis." Economics of Education Review 4, no. 1 (January 1985): 81–83. http://dx.doi.org/10.1016/0272-7757(85)90046-9.

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20

Harford, Jon D., and Richard D. Marcus. "Tuition and U.S. private college characteristics: The hedonic approach." Economics of Education Review 5, no. 4 (January 1986): 415–30. http://dx.doi.org/10.1016/0272-7757(86)90056-7.

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21

Gebreiter, Florian, Matt Davies, Simon Finley, Lara Gee, Lisa Weaver, and David Yates. "From ‘rock stars’ to ‘hygiene factors’: Teachers at private accountancy tuition providers." Accounting History 23, no. 1-2 (September 27, 2017): 138–50. http://dx.doi.org/10.1177/1032373217729513.

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In this article, we examine the role, status and autonomy of teachers at English private accountancy tuition providers from 1980 to the present. We argue that, during this period, teachers transformed from ‘rock stars’ who enjoyed significant status and autonomy over their work to ‘hygiene factors’ in a largely standardised and commodified teaching environment. Growing cost pressures on tuition providers and an increasing emphasis on the quality and consistency of the learning experience are identified as significant factors in this transformation. We discuss these findings with reference to current developments towards corporatisation and marketisation in the English higher education sector.
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22

Toutkoushian, Robert, and Manu Raghav. "Estimated Profit: A Look at the Excess Revenues of Private Four-Year Nonprofit Postsecondary Institutions." Education Finance and Policy 16, no. 1 (January 2021): 125–45. http://dx.doi.org/10.1162/edfp_a_00287.

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In this study, we use institution-level data for the period 2004 to 2016 from the Integrated Postsecondary Education Data System to examine the excess revenues of private, four-year nonprofit institutions. We present data on the magnitude of excess revenues for these institutions over this period, examine how excess revenues are associated with different types of private institutions, and how within-institution excess revenues are affected by changes in time-varying factors, such as their size, selectivity, revenue structure, and expense distribution. We find that across most years in our sample, private, four-year nonprofits averaged double-digit excess returns. The results show that variations over time in excess revenues are related to a number of factors, including institution size, yield rates, net tuition revenue, and tuition discount rates.
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23

Lee, Young-Hwan, Kwon-Sik Kim, and Kwang-Hoon Lee. "The Effect of Tuition Fee Constraints on Financial Management: Evidence from Korean Private Universities." Sustainability 12, no. 12 (June 22, 2020): 5066. http://dx.doi.org/10.3390/su12125066.

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This study examined the effect of tuition fee control policy on universities’ financial management. Using data from 93 private universities in Korea from 2006 to 2015, we investigated the effect of tuition fees and government subsidies on labor cost, operating expenses, research expenses, and so on. Based on principal and agency theory, we used the analysis of average percentage change in expenditure and panel data analysis with the help of a Least Squares Dummy Variable (LSDV) model and polynomial regression. The results show that the increase rate of tuition fees decreased after 2011, with government subsidies increasing. The LSDV analysis indicates that universities increase labor costs, operating expenses, and student support fees, while there are no differences in research expenses, laboratory fees, and expenditures from investments and other assets. Polynomial regression reveals that, based on resources, universities behave differently in their spending. With these results, this study suggests a method to lessen information asymmetry and goal conflict, such as a performance-based research system and an incentive-based budget system in universities.
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Ponselvakumar., G. "PERCEPTION OF PARENTS TOWARDS PRIVATE TUITION AT HIGHER SECONDARY LEVEL." International Journal of Advanced Research 4, no. 12 (December 31, 2016): 218–20. http://dx.doi.org/10.21474/ijar01/2385.

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URATA, Hiroaki. "The Determinants of Tuition and Fees of Japanese Private Universities." Journal of Educational Sociology 63 (1998): 119–36. http://dx.doi.org/10.11151/eds1951.63.119.

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26

Dooley, Karen, Liwei Livia Liu, and Yue Melody Yin. "Supplying private tuition: edu-business and Asian migration in Australia." Discourse: Studies in the Cultural Politics of Education 41, no. 1 (April 11, 2018): 98–109. http://dx.doi.org/10.1080/01596306.2018.1461063.

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Farid Shamsudin, Mohd, Aeshah Mohd Ali, Rosni Ab Wahid, and Zulkifli Saidun. "FACTORS INFLUENCE UNDERGRADUATE STUDENTS’ DECISION MAKING TO ENROLL AND SOCIAL MEDIA APPLICATION AS AN EXTERNAL FACTOR." Humanities & Social Sciences Reviews 7, no. 1 (April 15, 2019): 126–36. http://dx.doi.org/10.18510/hssr.2019.7116.

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Purpose: This study conducted to classify factors of fixed Higher Education Institution (HEI) characteristics influenced students' decision making to enroll at private HEI and social media application as an external factor exclusively in Malaysia phenomena. The main focus of this research was to determine the relationship between independent variables (academic programs, tuition fees, location, institution rankings, institution facilities, employment opportunities, social media application) influence dependent variable (decision making); and to determine the major factor that influence students' decision making to enroll at private HEI. Methodology: The underpinning theory applied in this study was Theory Reason Action (TRA) for social media application, while Theory of Planned Behavior (TPB) applied for academic programs, tuition fees, location, institution rankings, institution facilities, and employment opportunities. Five hundred (500) questionnaires distributed at selected private HEI around Kuala Lumpur and Selangor. Respondent was an undergraduate student semester one the year 2018 only. Data were analyzed using SPSS version 24. Results: Findings indicated result for direct effect revealed decision making were significant in the relationship between tuition fees, location, institution ranking, institution facilities, employment opportunities, and social media application thus hypothesis H2, H3, H4, H5, H6, and H7 accepted. Implications: Therefore, the only academic program was insignificant with decision making thus hypothesis H1 rejected. While the major factor that influences students' decision making to enroll at Private HEI in rank number one was employment opportunities H6 (β = .301; p = .000 < .05). Thus, Results of direct effects indicated there is a relationship between employment opportunities and students’ decision making to enroll at private HEI.
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TANAKA, Ryuichi. "Recent Debates on Public-Private Cost Sharing for Higher Education in Japan." Social Science Japan Journal 22, no. 2 (2019): 271–76. http://dx.doi.org/10.1093/ssjj/jyz010.

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Abstract This essay reviews three books and one article about recent debates on public-private cost sharing for higher education in Japan. To mitigate the problems related to low fertility and a rapidly aging population, the Japanese government plans to implement a free tuition policy for higher education for students from less affluent households. These books and the article reveal the historical, political, and economic factors behind why Japan’s current level of public spending on higher education is lower than that of other OECD countries. They also reveal that household income remains one of the most important determinants of college advancement, and that a free tuition policy has the potential to increase enrollment in higher education. However, this essay argues that a deeper understanding of the demand for higher education based on empirical studies is needed to make the policy successful.
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29

McDonough, L. C., and R. E. Wright. "Funding Postsecondary Education: A Full Tuition, Private Sector, Income Contingent Repayment Plan." Canadian Journal of Higher Education 28, no. 1 (April 30, 1998): 41–75. http://dx.doi.org/10.47678/cjhe.v28i1.183311.

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This study proposes and analyses the feasibility of a private sector ICR in which investments in human capital are accorded the tax treatment typical of fixed capital investments. Under this proposal, income-contingent repayment loans issued and administered by the private sector would cover both the full tuition costs and living expenses of students attending Postsecondary Education (PSE) institutions. The public sector would guarantee the loans, as well as provide relevant information to the private sector lenders as required. Simulations suggest that the student and public sector shares in the proposed full fee and expense plan would be approximately the same as those under the current financing system with students' fees set at 50% of full tuition. The proposed plan promises to eliminate virtually all accessibility problems related to financial constraints. Moreover, the incentive structures attendant to the proposed ICR are consistent with the "coherent learning system" advocated by the Economic Council of Canada.
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30

Wiranti, Dyah Ayu, Kurnia Siwi Kinasih, Ainafatul Nur Muslikah, Dyah Wardani, and Agung Teguh Wibowo Almais. "Implementasi Decision Support System Dynamic Menggunakan Weight Product Untuk Menentukan Uang Kuliah Tunggal." Jurnal Ilmiah Informatika 5, no. 1 (June 30, 2020): 1–8. http://dx.doi.org/10.35316/jimi.v5i1.546.

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Single tuition is the extension of the single tuition, which can be interpreted as a payment system made at the time of admission in both State and private colleges in Indonesia. Where this single tuition can provide benefits for the equitable of each student and help the students who are less able in terms of the economy that is certainly derived from the underprivileged family. In the calculation process determines the single tuition money each student needs a long process and time. So, there is an idea to implement a Decision Support System Dynamic (DSSD) so that at the time of determination of single tuition can be evenly and by the actual situation. One method that can be used on DSSD is the Weighted Product (WP) method. By implementing the method of WP combined with the concept of DSSD, then generated values of confusion matrix (recall, precision, f-measure, and accuracy) obtained by looking for the value of comparison between test data with pattern data. Obtained confusion matrix value with system testing and get the results Precision 88.89%, Recall 82.76%, Accuracy 77.14%, F-Measure 85.71%.
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31

Ehrenberg, Ronald G. "American Higher Education in Transition." Journal of Economic Perspectives 26, no. 1 (February 1, 2012): 193–216. http://dx.doi.org/10.1257/jep.26.1.193.

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American higher education is in transition along many dimensions: tuition levels, faculty composition, expenditure allocation, pedagogy, technology, and more. During the last three decades, at private four-year academic institutions, undergraduate tuition levels increased each year on average by 3.5 percent more than the rate of inflation; the comparable increases for public four-year and public two-year institutions were 5.1 percent and 3.5 percent, respectively. Academic institutions have also changed how they allocate their resources. The percentage of faculty nationwide that is full-time has declined, and the vast majority of part-time faculty members do not have Ph.D.s. The share of institutional expenditures going to faculty salaries and benefits in both public and private institutions has fallen relative to the share going to nonfaculty uses like student services, academic support, and institutional support. There are changing modes of instruction, together with different uses of technology, as institutions reexamine the prevailing “lecture/discussion” format. A number of schools are charging differential tuition across students. This paper discusses these various changes, how they are distributed across higher education sectors, and their implications. I conclude with some speculations about the future of American education.
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Beadie, Nancy. "Tuition Funding for Common Schools." Social Science History 32, no. 1 (2008): 107–33. http://dx.doi.org/10.1017/s0145553200013948.

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Funding for schools of all kinds was largely market-based until the Civil War. Parents in New York and other northern states continued to pay tuition, or rate bills, in addition to taxes to support common schools. Previous research relied on aggregate state-level data to estimate the amount of funding from public and nonpublic sources for common schools, while existing case studies of local school practices focus exclusively on Massachusetts or on urban locations and thus on exceptions to the rule. This study looks at local practices of school funding for multiple types of schools in one unexceptional rural town in western New York from 1815 to 1850. The results reveal considerable in-state variation in the proportion of public and private funding for common schools that is otherwise obscured by state-level data. The proportion of school funds that came from tuition was much higher for rural areas than for urban areas. The article also compares tuition funding for common schools with that for other types of market-based schooling, including two local venture schools and one local academy. The results show that, although tuition prices for academies and venture schools were predictably higher than for common schools, the overall structure of school funding for rural common schools and academies was more similar than different in New York in the antebellum era.
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Halili, Siti Hajar, and Hamidah Sulaiman. "Flipped-Small Private Tuition Online Course in Learning English for Rural Students." Khazar Journal of Humanities and Social Sciences 23, no. 1 (2020): 48–68. http://dx.doi.org/10.5782/2223-2621.2020.23.1.48.

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There is still a lack of studies to implement a Small Private Online Course for learning communities. This study aimed to identify the teaching and learning (T&L) process carried out when using an English Flipped-Small Private Tuition Online Course (EESPtoc) based on Gagne’s theory. Using purposive sampling, respondents were selected among rural primary school students. The respondents were introduced to the EESPtoc, which is a free tuition online platform for 4 sessions. A questionnaire and interview were used to collect data. SPSS software was used for data analysis in the form of descriptive statistics. Findings show that students have positive responses toward the use of EESPtoc and the interview had also supported the finding of the survey. To enhance this study, further research is recommended to look into the long-term effects of exploring retention of knowledge and skills from the use of the EESPtoc in the T&L process.
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34

Lawston, Patricia M., and Michael T. Parker. "Tuition reduction is the key factor determining tax burden of graduate students under the Tax Cuts and Job Act." F1000Research 6 (December 21, 2017): 2166. http://dx.doi.org/10.12688/f1000research.13385.1.

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Background: The proposed Tax Cuts and Jobs Act (H.R.1) has stirred significant public debate on the future of American economics. While supporters of the plan have championed it as a necessity for economic revitalization, detractors have pointed out areas of serious concern, particularly for low- and middle-income Americans. One particularly alarming facet of the plan is the radical change to education finance programs and taxation of students in higher education. Methods: By analyzing actual income and tuition of a public and a private university student, as well as the ‘average’ graduate student, we investigated the effect of both the House and Senate versions of H.R. 1 on taxation of students of various family structures. Results: Our findings indicate that taxable tuition would be the greatest contributor to graduate student tax burden across all four categories of filing status. However, when tuition reduction is upheld or a student is on sustaining fees rather than full tuition, graduate students would realize decreases in taxation. Conclusions: Overall, we conclude that removal of tuition reduction would result in enormous tax burdens for graduate students and their families and that these effects are dependent not only on the status of the student in their degree program but also on their tuition and stipend, and therefore the institution they attend.
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Lawston, Patricia M., and Michael T. Parker. "Tuition reduction is the key factor determining tax burden of graduate students under the Tax Cuts and Job Act." F1000Research 6 (February 5, 2018): 2166. http://dx.doi.org/10.12688/f1000research.13385.2.

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Background: The proposed Tax Cuts and Jobs Act (H.R.1) has stirred significant public debate on the future of American economics. While supporters of the plan have championed it as a necessity for economic revitalization, detractors have pointed out areas of serious concern, particularly for low- and middle-income Americans. One particularly alarming facet of the plan is the radical change to education finance programs and taxation of students in higher education. Methods: By analyzing actual income and tuition of a public and a private university student, as well as the ‘average’ graduate student, we investigated the effect of both the House and Senate versions of H.R. 1 on taxation of students of various family structures. Results: Our findings indicate that taxable tuition would be the greatest contributor to graduate student tax burden across all four categories of filing status. However, when tuition reduction is upheld or a student is on sustaining fees rather than full tuition, graduate students would realize decreases in taxation. Conclusions: Overall, we conclude that removal of tuition reduction would result in enormous tax burdens for graduate students and their families and that these effects are dependent not only on the status of the student in their degree program but also on their tuition and stipend, and therefore the institution they attend.
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Sugara, Heru, Erwin Sirait, M. Ali Hanafiah, and Nancy Florida Siagian. "SISTEM INFORMASI PEMBAYARAN SPP PADA SMK SWASTA TELADAN TANAH JAWA MENGGUNAKAN VB.NET." Jurnal Teknik Informasi dan Komputer (Tekinkom) 3, no. 1 (September 30, 2020): 14. http://dx.doi.org/10.37600/tekinkom.v3i1.125.

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The purpose of this study was to design a tuition payment accounting information system using Vb.Net which aims to simplify and accelerate the Teladan Tanah Jawa private vocational school in processing school fee payment data. The research method used in this research is observation, interview, sampling, and literature study. The analysis tools used are Data Flow Diagrams (DFD), Entity Relationship Diagrams and the relationships between tables. This information system makes it easier for the school administration to find student data, process arrears data, data on daily school fees and reports on tuition payments.
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Maruyama, Fumihiro. "Tuition Fees of Private Universities in Japan and the U. S." Comparative Education 1992, no. 18 (1992): 129–40. http://dx.doi.org/10.5998/jces.1992.129.

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38

Kotaky, Rima, and Mukut Hazarika. "A Study of Attitude of Secondary School Students towards Private Tuition." Asian Journal of Research in Social Sciences and Humanities 7, no. 4 (2017): 108. http://dx.doi.org/10.5958/2249-7315.2017.00269.6.

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39

Khuwaileh, Abdullah A., and Ali Al-Shoumali. "Private tuition in English: the case of two universities in Jordan." English Today 17, no. 1 (January 2001): 31–35. http://dx.doi.org/10.1017/s0266078401001043.

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An account from Jordan of an ‘elitist’ phenomenon that is spreading elsewhere in Asia.This study explores the reasons and conditions which have recently led a substantial number of families to hire private tutors of English for their sons and/or daughters studying science and technology through English in Jordanian state universities.
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40

West, Edwin G. "Public dollars for private schools: the case for tuition tax credits." Economics of Education Review 4, no. 1 (January 1985): 81. http://dx.doi.org/10.1016/0272-7757(85)90045-7.

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41

Brown, Ken W. "Private-college financial results and their effect on tuition-rate policies." Journal of Accounting and Public Policy 13, no. 1 (March 1994): 1–29. http://dx.doi.org/10.1016/0278-4254(94)90010-8.

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42

Martinello, F., and E. G. West. "The Optimal Size of the Tuition Tax Credit." Public Finance Quarterly 16, no. 4 (October 1988): 425–38. http://dx.doi.org/10.1177/109114218801600402.

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If we assume that price elasticity of demand for private schooling is 0.5, education tax credits even as low as $250 can be expected to reduce total government expenditure on education quite significantly. Recent empirical measures of such elasticities, however, are much higher. Based on these, a tax credit in the region of $1,000 would reduce expenditures by over $3.4 billion. If taxes are reduced accordingly, the gains to taxpayers would be higher to the extent of an appreciable reduction in marginal deadweight losses from the tax system.
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43

Iskandar, Iqbal Dzulfiqar. "Parents’ Sum of Salaries Analyses towards School Tuition Fee Arrears Potential with Decision Tree Method." Indonesian Journal of Information Systems 2, no. 1 (August 29, 2019): 45. http://dx.doi.org/10.24002/ijis.v2i1.2168.

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School tuition fee is typically used for funding school operational, i.e. paying honorary teachers in public and private schools, purchasing practical instruments, printing examination worksheets, and other net-operational costs. According to the discovered data in the research environment, the funding is unable to be acquired properly due to students’ school tuition fees arrears for months even years until they graduate. Considering the condition, this research is conducted to identify the potential of students’ school tuition arrears, based on the sum of their parents’ salaries centered on the business intelligence approach, using the decision tree method. The analysis results show that, students whose parents’ income is less than Rp 672.500,00 will be potentially in arrears with school tuition more than Rp 900.000,00 each month, while students whose parents’ income is above Rp 672.500,00 are potentially in arrears of less than Rp 900.000,00 or not in arrears. To evaluate the effectiveness of the decision tree algorithm for data processing, it has an accuracy value of 95.97%, with a precision of 94.96% that means the algorithm has a good correlation based on attributes and the data that have been processed by the algorithm.
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44

Gardiyawasam, Tharindu, and G. K. A. Dias. "AN ONLINE VIRTUAL EDUCATIONAL CENTER." International Journal of Research -GRANTHAALAYAH 5, no. 1 (January 31, 2017): 22–32. http://dx.doi.org/10.29121/granthaalayah.v5.i1.2017.1686.

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During the past decade, Sri Lankan education system has transformed in to a highly competitive level and as a result private tuition has now become a necessity in Sri Lankan society. One main concern for most students when selecting a tuition class is the physical distance to the class from their home. As a result, most students have to waste a lot of time and money just for travel to the class. Although Individual and small/group classes provide a customized service compared to open classes, students have to bear a considerably higher tuition fee and that could prevent most students from getting such a service from teachers. Also most teachers have to address the issue of limited space availability and as a result they have to either rent a place or have to limit the number of students to fit in to the available limited space. This web based system enables both students and teachers to self-register in the system and engage in all the typical class room activities with the use of internet. Teachers will be able to conduct live online classes via the system and large number of students will be able to participate classes from their residences. Also various educational resources are available in the system which enables everyone to be fully interacted with each other. Additionally functionalities to generate administrative reports, track visitor details and user activities are also included in the system along with more other useful functionalities. Students will get a customized service and limited space will no longer be a problem for teachers as everyone will interact based on their own locations. So this system will provide a cheaper way of conducting classes than current tuition classes, and also it is expected to operate as a way of minimizing the issues of the current private tuition education sector. Currently the system is based on English language and supports only one local language ‘Sinhala’.
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Nasir, Zafar Mueen. "Do Private Schools Produce More Productive Workers?" Pakistan Development Review 38, no. 4II (December 1, 1999): 937–54. http://dx.doi.org/10.30541/v38i4iipp.937-954.

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Education has positive links with economic development as it raises the productivity of the work force. Beside private rates of returns, the social returns of education are also high. Because of the gains to society, education is subsidised in many countries. Pakistan, where only 2.5 percent of the GDP is spent on education, provides subsidised education in the form of a public school system.1 Government pays for the major expenditures such as construction of infrastructure for education and salaries to the teaching and related staff. Household cost is kept low to attract more people to send their children to schools. Therefore only a nominal tuition fee is being charged for attending these schools.
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Kim, Jung-Wook, and Jaemin Cho. "Analysis of Education Investment Depending on Tuition·Non-tuition Income of Private University." Korean Educational Administration Society 36, no. 1 (March 30, 2018): 83–112. http://dx.doi.org/10.22553/keas.2018.36.1.83.

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47

Sota, Llambrini, and Fejzi Kolaneci. "How Albanian Private Universities can use Game Theory for Optimization of Scholarship Offers." European Journal of Sustainable Development 2, no. 4 (April 1, 2013): 119. http://dx.doi.org/10.14207/ejsd.2013.v2n4p119.

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There are 46 private universities in Albania. We believe that the tuition fee andscholarship for high GPA students are two important components of the competitionbetween private universities. This study is a first attempt in applying Game Theory foroptimization of scholarship offers by Albanian private universities during academic years.There is a conflict between the utility functions of shareholders to maximize their profitsand the utility functions of the students enrolled in private universities to minimize theirexpenses. The best solution of the conflict is a Nash equilibrium or Bayes-Nash-Harsanyiequilibrium, respectively. We prove the existence of these equilibria. However, there existmany equilibria, depending of private information. We interpret the Boyes-Nash-Harsanyiequilibrium solution as the set of possible rational concessions made by all players.
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Boehm, Jan. "Supplementary Education." Journal of Education in Black Sea Region 4, no. 1 (December 9, 2018): 45–52. http://dx.doi.org/10.31578/jebs.v4i1.153.

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Private tutoring is an attendant phenomenon of school education, in which every third student in Austria is participating. However, social inequality in the education system is deepened not only through paid tuition, but also through additional educational opportunities. The article argues for an extended access to extracurricular educational opportunities in order to reveal social disparity.
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Towseef, Mohi Ud Din, Yousuf Imran, and Nawaz Ahmad. "Private Tuition Institutions A Simple Form of Capitalism: Micro Investigation in District Anantnag." Research Journal of Educational Studies and Review 6, no. 3 (July 28, 2020): 40–42. http://dx.doi.org/10.36630/rjesr_20003.

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50

Holloway, Sarah L., and Philip Kirby. "Neoliberalising Education: New Geographies of Private Tuition, Class Privilege, and Minority Ethnic Advancement." Antipode 52, no. 1 (November 12, 2019): 164–84. http://dx.doi.org/10.1111/anti.12587.

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