Education Enrollment Research Articles

Exploring the relationships between socio-economic indicators and student enrollment in higher education institutions of Pakistan.

Higher education is considered as the engine of the economic development of a country due to its role in cultivating human capital. The provision of higher education is regarded as a productive investment in human capital for improving nation’s productive capacity. However, there is a large gap in enrollment between students of different socioeconomic statuses. The ever-widening socio-economic inequalities between individuals from disadvantaged and advantaged backgrounds make the government’s efforts to enroll a higher number of students to pursue higher education challenging in developing countries, as the students’ socioeconomic status plays a decisive role in their priority to attain higher education. This study anticipated quantifying the impact of socio-economic indicators and underlying situations on students’ enrollment in higher education in Pakistan. A descriptive study, involving correlation, principal component analysis (PCA), clustering, and stepwise regression using 15-years data of enrollment and socio-economic indicators was conducted. The correlation between different socio-economic indicators and students’ enrollment was positive and highly significant (0.73 to 0.99), except for the unemployment rate (- 0.39 to -0.57). PCA showed that the first two components were the most influential with 93.85% of the total variation. Enrollment (total and male) showed significant relationships with general government expenditure and unemployment rate, while female enrollment showed a significant relationship with general government expenditure. Findings revealed that socio-economic factors can serve as a significant predictor of students’ enrollment in higher education. The minimum values of correlation coefficient (R) and adjusted R2 for enrollment were ranged from 0.875 to 0.748 (female enrollment), while maximum values (0.987 to 0.993 and 0.973 to 0.983), respectively were observed for total enrollment. The findings will assist educationists, social scientists, and policymakers to better understand the association between socio-economic indicators and student enrollment in higher education for formulating future education policies for enhancing enrollment in higher education.

Inclusive Policy in Tribhuvan University: A Case of Its Pre and Post Implementation

Tribhuvan University (TU), a leading institution of higher education in Nepal covers 83 percent educational enrolment for higher-level education. It has been implementing inclusive policy since 2009 in order to mitigate inequality in composition of higher education governance. The main assumption of the policy action of inclusion is to increase the participation of excluded groups to maintain proportional equilibrium to privileged groups. Is the policy practice working as its assumption? This study has explored the answer of this question. The result shows that the increasing participation status of women, Indigenous Nationalities and Dalit. It has justified the relevancy of continuity of inclusive policy practice. However, the participation of two privileged groups i) Bahun and Chhetri and ii) Newar is not found remarkable decreased. To present the concluding result the article has contained about higher education governance and TU’s inclusive policy legal provision in introduction. After that, it has included the result, discussion and conclusion interpreting comparative data presentation of policy parget groups’ pre and post policy practice participation status.

The Impact of School Operational Assistance Program Implementation at School Level on Senior Secondary Education Enrollment by Households: Evidence from Indonesia in 2007 and 2014

Education is recognized worldwide as one of the key elements in developing the human capital of a nation for a prosperous future. Given an almost universal enrollment in primary education, many governments have shifted their focus on students’ motivation to continue to and finish their secondary education. The government of Indonesia has made extensive efforts in widening participation in education. With a growing budget for educational expenditure, various government programs have been implemented to assist students in their learning. One such program is the School Operational Assistance Program (BOS), which has been running for two decades. This paper reports on a study aimed to investigate the impact of the implementation of BOS at a school level on senior secondary school enrollment by households using data obtained from the Indonesia Family Life Survey (IFLS) recorded in 2007 and 2014. By using Propensity Score Matching (PSM), it was found that students whose schools received BOS during their primary education years were more likely to continue their education to senior secondary education than those whose schools did not receive BOS. This shows that a school subsidy could encourage students to continue their education, particularly for students coming from poorer households.

Analysis of Higher Education Health Index

To evaluate the health index of education systems in different countries, the is paper establishes a higher education system health index evaluation model through principal component analysis. Five relevant indicators of six countries were selected for principal component analysis. Through annual relevant data of universities in six different countries in the past ten years, we obtained three indicators that mainly affect the health index of higher education, Cumulative contribution rate reached 93.67%, namely, the proportion of education expenditure, the proportion of international students and the rate of higher education enrollment. Then based on the contribution rate of the three main indexes, we constructed a principal component comprehensive evaluation health index model and obtained the health index of the higher education system in six countries. Among them, India and Brazil have the lowest health index scores, respectively 0.4106 and 0.4183. Therefore, the higher education systems of India and Brazil have a lot of room for improvement. Based on the empirical results, we put forward targeted improvement plans and systems.

The Economic Impact of Globalized Education in Nepal

The global trends in higher education highlight the growing popularity of international education shift towards innovation and better productivity that demand updated and high-quality human resources. And on the supply side, it creates pressure on families to send their children to educational institutions not only within the country but also abroad. In the context of Nepal, the trend of opening higher education institutions and students going abroad for study accelerated after 1990. Students enrolled in the country and abroad are establishing networks to work through the exchange of ideas and products in the global market. In this paper, I present the primary findings from my research on the economic impact of globalization on education in Nepal by using the supply side human resource data of student enrollment in higher education in the country and Nepali students abroad, and its impact on trade, migration, foreign direct investment and remittance to the national economy of Nepal. For this study, 20 years of secondary data of above mentioned variables have been analyzed with the help of the econometric method of causal relations. Results show a positive impact of globalization on the economy of Nepal. The findings will be useful for making policy recommendations to developing countries like Nepal to enhance education by grasping the opportunities globalization offers.

Calculating university education model based on finite element fractional differential equations and macro-control analysis

Abstract Firstly, based on the charging theory of ‘education cost-sharing,’ under appropriate assumptions, two basic differential equation models are proposed to describe the problem of college education charges; secondly, through qualitative analysis of the basic model, it is concluded that colleges and universities maintain or impose several conditions for stabilising its education fees; finally, through the analysis of two basic models in three unique models under three situations, some new conclusions and suggestions on the macro-control of college education fees and enrolment scale are given. Also, three extended differential equation models are proposed.

A Quasi-Experimental Investigation of the Effect of Tennessee Promise on Postsecondary Career and Technical Education Enrollment Responses

In this study I deployed quasi-experimental methods to explore the effect of the implementation of a statewide free-college program, Tennessee Promise, on enrollment in postsecondary career and technical education programs. State policymakers implemented the Tennessee Promise, a free-college program for recent high school graduates attending public, two-year institutions, in 2015. As postsecondary attainment in the United States falls short of workforce needs, there has been an increased focus on postsecondary career and technical education credentials and degrees linking workforce needs directly with educational programs (Lumina, 2019; Perkins V, 2019). However, it is currently unknown whether access to statewide free-college funding impacts enrollment in postsecondary career and technical education. In this study, I use federal data to estimate the causal effect of Tennessee Promise on postsecondary career and technical education enrollment. Findings from the analysis show a small but insignificant increase in Tennessee after the implementation of the grant when compared to both the national control group and the contiguous control group. I discuss the implications for research and practice, and how promise programs may be leveraged more effectively moving forward to improve outcomes in postsecondary career and technical education.

What Is the Relationship between Higher Education and Neoliberalism in the United States?

What Is the Relationship between Higher Education and Neoliberalism in the United States?

The Impact of Foreign Direct Investment on Income Convergence in China - A Spatial Panel Data Analysis

After taking into account the spatial dependence effects in the panel data consisting of all 31 provinces, direct-controlled municipalities, and autonomous regions in China between the years 1998 and 2017, it found significant spatial autocorrelation effects in both traditional absolute and conditional β income convergence models. At the national level, using the spatial econometric models (Spatial Error Model for absolute convergence and Spatial Durbin Model for conditional convergence), the analysis shows that in the past 19 years from 1999 to 2017, there is no absolute β income convergence. However, there is conditional β income convergence after controlling for all growth factors, while the positive effect of fixed asset investment on regional economic growth is significant, and the effect of population growth is significantly negative. The other growth factors such as FDI inflow, export, and higher education enrollment were surprisingly found no statistically significant effects on regional economic growth. From regional level (Spatial Durbin Model and Spatial Lag Model), there is no conditional β income convergence within each four economic regions. Nonetheless, the northeast region showed an income divergence trend, where only the fixed asset investment is positively significant. This study results imply that China should continue to improve fixed asset investment and control population growth to stimulate regional economic growth and income convergence.

Technology 4.0 for Education 4.0

There is no denying the fact that education is the greatest tool to solve our problems. Education has been transformed from centuries in its form, levels, and format. Depending upon our needs and times, be it peace or exigencies (natural or human induced), educational pedagogies, assessment strategies, infrastructural provisions, student enrolment, faculty recruitment, finances, knowledge management and technology adoption, all have changed over a period of time. Such change in teaching and learning practices is constant. Flexibility of operations, rapidity of knowledge generation and transfer, creative practices and spatial arrangements have given rise to innovations in education. New pedagogies and technologies have opened up new possibilities. Students are offered new learning paths. This article discusses the innovations, challenges and opportunities as presented to us by the technology 4.0 for education 4.0.

The social shortfall and ecological overshoot of nations

Previous research has shown that no country currently meets the basic needs of its residents at a level of resource use that could be sustainably extended to all people globally. Using the doughnut-shaped ‘safe and just space’ framework, we analyse the historical dynamics of 11 social indicators and 6 biophysical indicators across more than 140 countries from 1992 to 2015. We find that countries tend to transgress biophysical boundaries faster than they achieve social thresholds. The number of countries overshooting biophysical boundaries increased over the period from 32–55% to 50–66%, depending on the indicator. At the same time, the number of countries achieving social thresholds increased for five social indicators (in particular life expectancy and educational enrolment), decreased for two indicators (social support and equality) and showed little change for the remaining four indicators. We also calculate ‘business-as-usual’ projections to 2050, which suggest deep transformations are needed to safeguard human and planetary health. Current trends will only deepen the ecological crisis while failing to eliminate social shortfalls. Historical dynamics show that no country has achieved minimum social thresholds within biophysical boundaries between 1992 and 2015, and a projection indicates that no country is on the path to achieve them.

Policy and principal turnover: The impact of the Texas special education cap

Accountability policies in education play a significant role for the principals tasked with facilitating the implementation of these reforms at the school-level. While these policies are most often intended to improve student outcomes, this is not always the case. In some instances, these policies can prove detrimental to schools, yet principals are still responsible for compliance. In Texas, a federal investigation found the Texas Education Agency (TEA) was restricting access to special education services by incentivizing districts to enroll fewer than 8.5% of students, utilizing these numbers as a measure of district performance. The implementation of the “8.5% cap” in 2004 resulted in a sharp decline in special education enrollment. Employing a sample of all principals in Texas before and after the 2004 law, this paper examines how the 8.5% cap impacted school leader attrition during its implementation. Prior to the implementation of the cap in 2004, we find little association between the proportion of students receiving services and principal turnover. After its implementation however, we find that principals in schools enrolling more than 8.5% of students in special education had a .39 higher odds ratio of switching districts and a .14 higher odds ratio of exiting the profession. We conclude by highlighting the scarcity of school labor market research that accounts for state-level education policies and note that policy may be more associated with principal turnover than student characteristics themselves.

Predictive Analysis of the Enrolment of Elementary Schools Using Regression Algorithms

— By fitting a linear equation to observable values, linear regression determines the relationship between two variables. The Department of Education enrollment data in the Philippines, specifically in the School Division of Batangas, is needed to produce modules. The data collected is from the division office, where data cleaning was applied. Deep Learning, Decision Tree, Random Forest, Gradient Boosted Tree, Support Vector Machine, and Linear Regression were used to perform the prediction, and linear regression performed the best with an absolute value of 14.465 and a relative error of 84.81%. Keywords— Prediction, Information Management, Linear Regression, Cloud Computing, LDM

Long-term effects of grants and loans for vocational education

In this paper I study the long-term effect of giving low-income, low-performing students access to state grants and loans for vocational schools. I combine 12 years of administrative records on higher education enrollment and graduation in Chile and exploit the fact that access to state grants for 2-year vocational programs and state loans for 2-year and 4-year vocational programs are both a discontinuous function of a student’s GPA. Both grants and loans increase a student’s probability of ever enrolling in higher education, as well as the number of years that students spend enrolled. Although imprecise, results show a positive effect on graduation. Findings indicate that financial aid can increase degree completion, even when targeted to low-performing students attending vocational education.

Research on the Higher Education System Based on Principal Component Analysis

The higher education system is an important part of a country's education of citizens, and has important value to the country's economic development. Firstly, this paper conducted detailed research and analysis on the healthy education system and collected five indicators from eight representative countries (students from specific countries, scientific journal articles in higher education, and higher education staff, higher education enrollment rate, higher education sector's percentage of research and development expenditures) for ten years or more. In order to evaluate quantitatively, this paper establishes a principal component analysis model to evaluate the health status of the national higher education system, and uses SPSS to calculate the final comprehensive evaluation score.

Inequalities in Older age and Primary Health Care Utilization in Low- and Middle-Income Countries: A Systematic Review.

The objective of this research was to systematically review and synthesize quantitative studies that assessed the association between socioeconomic inequalities and primary health care (PHC) utilization among older people living in low- and middle- income countries (LMICs). Six databases were searched, including Embase, Medline, Psych Info, Global Health, Latin American and Caribbean Health Sciences Literature (LILACS), and China National Knowledge Infrastructure, CNKI, to identify eligible studies. A narrative synthesis approach was used for evidence synthesis. A total of 20 eligible cross-sectional studies were included in this systematic review. The indicators of socioeconomic status (SES) identified included income level, education, employment/occupation, and health insurance. Most studies reported that higher income, higher educational levels and enrollment in health insurance plans were associated with increased PHC utilization. Several studies suggested that people who were unemployed and economically inactive in older age or who had worked in formal sectors were more likely to use PHC. Our findings suggest a pro-rich phenomenon of PHC utilization in older people living in LMICs, with results varying by indicators of SES and study settings.

Abortion: Life-Course Stages and Disruptive Life Events

AbstractPregnancy termination and its interplay with critical life stages and events has rarely been subjected to careful scrutiny in the social sciences, mainly due to a lack of high-quality survey data. Using the first eleven waves (2008–2018) of the German Family Panel Study (pairfam) and employing linear probability models, we examine women and also men with partners who either had induced abortion (N=260 women; N=170 men) or became parents (N=1478 women; N=1220 men). We frame abortion as a social process in which life circumstances and disruptive life events fundamentally shape the decision to carry a pregnancy to term or to discontinue it. We find that teenage or late pregnancy, educational enrollment, previous children, partnership dissolution, and economic uncertainty are associated with induced abortion. Our evidence suggests that abortion decisions are powerfully shaped by life-course contingencies and their complex intertwining.

Modeling the building blocks of country‐level absorptive capacity: Comparing developed and emergent economies

AbstractSeveral studies analyzed the importance of absorptive capacity (AC) to achieve economic development. However, to the best of our knowledge, no study compares the building blocks (BBs) of AC between developed and emergent economies. This paper aims to identify and analyze the impact of the BBs on AC under distinct levels of development (i.e., developed vs. emerging economies) using systematic literature review (SLR) and econometrics. Specifically, both linear and nonlinear analyses were employed. Our findings show that BBs in developed and emergent regions are different. For both groups, R&D, FDI (foreign direct investment), infrastructure, and HDI (human development index) variables are BBs of AC. For developed economies, BBs also contemplate secondary education enrollments, the higher education index, and the percentage of GDP spent on higher education. Moreover, the thresholds of BBs also differ between developed and emergent economies. This identification of BBs and possible AC thresholds is valuable, as it provides information to set goals and strategies before a foreign investment attraction policy. Thus, the results facilitate the development of more suitable strategies to enhance positive productivity spillovers and avoid negative spillovers whenever possible. These results show that policymakers cannot employ the same policies for the development of developed and emerging countries.

Costs and benefits of trade shocks: Evidence from Chilean local labor markets

We study Chile’s labor market responses to trade shocks during 1996–2006, exploiting spatial and time variations in trade exposure arising from initial differences in industry specialization across local labor markets and the evolution of shocks across industries. We take advantage of China’s supply and demand’s worldwide shocks to instrument for Chinese import competition and demand for Chilean exports. Our main finding is that increasing manufacturing import competition implied a significant rise in labor informality in more exposed local markets, especially among young and unskilled workers. These groups also suffered significant relative wage losses. Meanwhile, locations that benefited most from the increased demand for primary products experienced a relative increase in employment, particularly among young individuals, and reallocation from self-employment towards salaried jobs in the formal sector, along with relative wage gains among old-age workers. Interestingly, these areas experienced a smaller increase in tertiary education enrollment rates than less exposed areas.

Private Higher Education Institutions in the Digital and Pandemic Era

Enterprise risk management (ERM) is created to identify risks and helps organizations to achieve their targets successfully with less obstacles. ERM is to assist senior management be more aware of the increasingly wide spectrum of threats affecting them and thus more proactive, taking action to avoid what they can but also prepare for worse case scenarios to lessen the damage of events that are out of their control. ERM as an important part of a business performance measurement systems, in managing risks and uncertainties, for the successful implementation of strategic initiatives of an organization. ERM acts as an internal control mechanism with safeguard which provides rule and regulation, policies and guidelines. The main risk management standard that has been developed is the ISO31000 which provides a statement of risk management principles, as well as a description of the risk management framework and process. One of the standards which involve technology in risk management is ISO27000. It provides the overview of information security management systems (ISMS). While the environment of constant change and disruption creates opportunities for institutions to differentiate themselves in a crowded market, it also creates a growing array of risks that can quickly derail their strategy. Further, institutions should consider developing an “integrated and enterprise wide” approach to risk management, as opposed to siloed plans that exist within specific divisions or units to deal with risks specific to their overall institutional function or mission. This paper offers the conceptual integrated ERM (IERM) business model, in the form of Business Model Canvas (BMC), for private higher education institutions’ (PHEI) ability to generate adequate revenue and, in some cases, to even exist. Business model risks challenge an institution’s ability to remain relevance in an environment where new approaches to education delivery, revenue generation, and enrollment are evolving rapidly. PHEI that do not plan for these factors through innovation, enhancing productivity, and leveraging and protecting their strategic information and digital asset may find themselves outpaced by more agile competitors. Especially, during this era of globalization, digitalization and pandemic that have constantly change the livelihood and economic of nations, institutions, businesses, and people.