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Global Health Research and Policy 2018年第1期3卷 47-56页

作者： Eric Nsiah-Boateng Moses Aikins School of Public Health College of Health SciencesUniversity of GhanaAccraGhana

Background:In 2004,Ghana started experimenting a National Health Insurance Scheme(NHIS)to reduce out-ofpocket payment for *** many other social health insurance schemes in Africa,the NHIS is striving for universal health coverage(UHC).This paper examines trends and characteristics of enrolment in the scheme to inform policy decisions on attainment of ***:We conducted trend analysis of longitudinal enrolment data of the NHIS for the period,*** statistics were used to examine trends and characteristics of enrolment by geographical region and member ***:Over the 8-year period,the population enrolled in the scheme increased from 33%(8.2 million)to 41%(11.3 million)between 2010 and 2015 and dropped to 35%(10.3 million)in *** who renewed their membership increased from 44%to 75.4%between 2010 and 2013 and then dropped to 73%in *** average,the urban regions had significantly higher number of new enrolments than the rural ***,the urban and peri-urban regions recorded significantly higher number of renewals than the other *** addition,persons below the age of 18 years and the informal sector workers had significantly higher number of enrolment than any other member ***:enrolment in the NHIS is declining and there are significant differences among geographical regions and member *** of the NHIS need to enforce the mandatory enrolment provision in the Act governing the scheme,employ innovative strategies such as mobile phone application for registration and renewals and address delays in healthcare provider claims to improve enrolment.

关键词： Trends enrolment Longitudinal data National Health Insurance Scheme Ghana

Determinants of enrolment in Nigerian Universities

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Economics World 2014年第4期2卷 238-251页

作者： SATOPE Bola Funmilayo Adeleke University Ede Osun State Nigeria

The study investigated the factors behind the enrolment profile in Nigerian universities using primary and secondary data. The secondary data were obtained from National University Commission （NUC） and published documents of National Bureau of Statistics （NBS） while primary data were from a survey of nine universities selected through purposive random sampling. The broad objective of this study is to identify the key factors influencing the enrolment profile in Nigerian universities and the extent to which human resource and funding affect enrolment. The study was empirical analysis which used Vector Auto-regression Model （VAR） and linear interactive or stepwise regression method for data analyses. The results showed that variables in the model （funding, academic and non-academic staff） accounted for 46.6% of the changes in enrolment and confirmed that both funding and academic staffhave effect on enrolment while the effect of non-academic staff is quite minimal. The model was statistically significant （F = 4.43） and also, funding （t = 3.00, p 〈 0.05）, academic staff （t = 1.77, p 〈 0.05） and their interactive effect （t = 2.97, p 〈 0.05） had significant effect on enrolment. While the effect of non-academic staff was not significant （t = 0.36, p 〉 0.05）. However, the interactive effect of funding and academic staff （KL） accounting for 25% of the changes in enrolment is more important than their individual effects： 5% for academic staff and 4% for funding. Therefore, interaction of funding and availability of academic staff has continued to constrain students＇ intake into Nigerian universities. The other factors not captured by the model but identified through the survey of nine Nigerian universities were： expansion of both primary and secondary education; education as passport to becoming elite; human resource needs; high rate of unemployment and population growth, United Nations Educational Scientific and Cultural Organization （UNESCO） education report and historical

关键词： enrolment funding human resources interactive Nigerian universities

Mobilization Initiatives for Enhancing Secondary School Students’ enrolment into Vocational and Technical Education Program of Universities for Self Reliance in South East, Nigeria

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Agricultural Sciences 2015年第7期6卷 623-629页

作者： Isiwu Edward Chukwuka Nwakpadolu Glory Nma Department of Agricultural/Home Economics Education Michael Okpara University of Agriculture Umudike Nigeria

This study focused on identification of mobilization initiatives for enhancing student’s enrolment into Vocational and Technical Education (VTE) programs in Nigerian Universities. Three research questions guided the study while three hypotheses were formulated and tested at 0.05 level of significance. The study was carried out in South East, Nigeria. Population for the study was 1340. Sample for the study was 753 obtained through proportionate (30%) stratified random sampling technique. A 38 item questionnaire was developed and used to collect data. Data obtained were analyzed using mean and standard deviation to answer research questions while t-test statistic was used to test hypotheses at probability of 0.05 level. It was found out by the study that 38 mobilization initiatives could be used to enhance students’ enrolment into Vocational and Technical Education Programs in Nigerian Universities. It was therefore recommended that the identified mobilization initiatives be implemented by relevant stakeholders to enhance secondary school students’ enrollment into VTE programs in Nigerian Universities.

关键词： Mobilization Initiatives enrolment Enhancing Students Education Universities

Factors Influencing Students Decisions to Enrollment in Sudanese Higher Education Institutions

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Intelligent Information Management 2019年第4期11卷 61-76页

作者： Zainab M. Sedahmed Noureldien A. Noureldien Future University Khartoum Sudan University of Science and Technology Omdurman Sudan

There is a growing body of literature that recognizes the importance of data mining in educational systems. This recognition makes educational data mining a new growing research community. One way to achieve the highest level of quality in a higher education system is by discovering knowledge from educational data such as students’ enrollment data. Many mining tools that aim to discover exciting correlations, frequent patterns, associations, or casual structures among sets of items in educational data sets have been proposed. One of the widely used tools is association rules. In this paper, the Apriori algorithm is used to generate association rules to discover the importance and correlation between factors that influence student’s decision to enroll in higher education institutions in Sudan. The algorithm is applied using a student’s enrollment data set that was created using a questionnaire and 800 students enrolled in governmental and private sector universities as a sample. This paper classifies factors that influence enrollment into: student’s demographic factors and four categories of enrollment related factors (Student and Society, Educational Institution, Admission, and Employment related factors), and determines the most influential factors in determining student’s decision to enroll in Sudanese universities. The analysis result shows that the Educational Institution related factors (50%) and Admission related factors (40%) are strongly influencing students’ enrollment decision, while the Employment related factors (10%) and Student and Society related factors (0%) have weak influence. The factors out of the 14 Educational Institution related factors that have a high impact are: reputation, diversity of study, quality of education, education facilities, and feasibility.

关键词： enrolment Related Factors Educational Data Mining Association Rules Student and Society Related Factors Educational Institution Related Factors Admission Related Factors Employment-Related Factors