scholarly journals The Connection between Extracurricular, Leisure Time Activities, Religiosity and the Reasons for Drop-out

2019 ◽  
Vol 1 (1) ◽  
pp. 55-67
Author(s):  
Judit Váradi ◽  
Zsuzsanna Demeter-Karászi ◽  
Klára Kovács
Keyword(s):  
Education Research ◽  
Extracurricular Activities ◽  
Leisure Time ◽  
Tertiary Education ◽  
Dropout Rate ◽  
Further Education ◽  
Drop Out ◽  
Dropping Out ◽  
Educational Sociology ◽  
Student Dropout

The interruption of tertiary education and the reduction in the dropout rate have been a central issue in educational sociology and education research. Exploring the possible reasons for dropping out can significantly contribute to reducing the trend. Our aim is to map the links between students dropping out and individual factors. Consequently, we investigate the connection between extracurricular and leisure-time activities, health behaviour and religiosity in relation to dropout. This is explained by the fact that one of the axioms of the literature on dropout is that belonging to civil networks usually strengthens the commitment to the successful completion of studies. In our analysis, we used the database created during the research carried out in 2018 by the Center for Higher Education Research and Development (CHERD-H) in the framework of project No. 123847 of the National Research, Development and Innovation Fund of Hungary, entitled The Role of Social and Organisational Factors in Student Dropout (DEPART 2018, N=605). Our results show that the neglect of study obligations among those who are disappointed in the course and further education is closely related to the shift in value preferences and an increase in the time spent with entertainment activities and partying. It can also be stated that students take part indifferent types of extracurricular activities only to a limited extent, and the different forms of participation in activities and religiosity are not related to the causes of dropout.

The effect of college acquisitions and mergers on student dropout behaviour: evidence from the UK

2020 ◽  
Vol 72 (3) ◽  
pp. 606-632
Author(s):  
Rossella Iraci Capuccinello ◽  
Steve Bradley
Keyword(s):  
Further Education ◽  
Drop Out ◽  
Dropping Out ◽  
Negative Effects ◽  
Policy And Practice ◽  
Student Dropout ◽  
Positive Effects ◽  
One Year ◽  
The Uk ◽  
Over Time

Abstract We investigate the effect of college acquisitions on the probability of students dropping out of college. Using administrative data for the further education (FE) sector, which covers multiple cohorts, we estimate matching models and combine them with difference-in-differences methods to remove the effects of unobserved student and college heterogeneity. Overall our findings show that acquisitions reduce the probability of dropout by 0.01 percentage points, but this varies in magnitude and direction over time. In general, positive effects of acquisitions on drop out behaviour tend to be small (e.g. 0.001 for acquisitions in 2004) and dissipate over time, whereas negative effects persist and tend to increase in magnitude over time (e.g. −0.05 one year later and −0.07 two years later). We discuss the implications for policy and practice in the sector, as well as suggesting a need for similar analyses in other education sectors, such as primary and secondary schooling.

A Machine Learning Approach to Detect Student Dropout at University

2021 ◽  
Vol 10 (6) ◽  
pp. 3101-3107
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Dropout Rate ◽  
Random Forest Classifier ◽  
Drop Out ◽  
Dropout Rates ◽  
Learning Technology ◽  
Student Dropout ◽  
High Dropout Rate ◽  
Academic Plan

In universities, student dropout is a major concern that reflects the university's quality. Some characteristics cause students to drop out of university. A high dropout rate of students affects the university's reputation and the student's careers in the future. Therefore, there's a requirement for student dropout analysis to enhance academic plan and management to scale back student's drop out from the university also on enhancing the standard of the upper education system. The machine learning technique provides powerful methods for the analysis and therefore the prediction of the dropout. This study uses a dataset from a university representative to develop a model for predicting student dropout. In this work, machine- learning models were used to detect dropout rates. Machine learning is being more widely used in the field of knowledge mining diagnostics. Following an examination of certain studies, we observed that dropout detection may be done using several methods. We've even used five dropout detection models. These models are Decision tree, Naïve bayes, Random Forest Classifier, SVM and KNN. We used machine-learning technology to analyze the data, and we discovered that the Random Forest classifier is highly promising for predicting dropout rates, with a training accuracy of 94% and a testing accuracy of 86%.

scholarly journals Factors Related to Students’ Drop Out of a Distance Language Learning Programme

2018 ◽  
Vol 7 (2) ◽  
pp. 12
Author(s):  
Rahmat Budiman
Keyword(s):  
Language Learning ◽  
Longitudinal Research ◽  
Dropout Rate ◽  
Drop Out ◽  
Dropping Out ◽  
Structured Interviews ◽  
Unmet Expectations ◽  
Work Family ◽  
The University ◽  
Purposive Sample

This paper presents a study that examined the reasons for dropping out of a distance language learning programmeoffered by an open university in Indonesia. A purposive sample of students who registered for online English writingcourses at the university was used. To gain a better understanding of the issues, the study also sought informationfrom online tutors. A longitudinal research design employing qualitative research method was used over four stagesof data collection. Open-ended question surveys were adopted to gain an understanding of underlying reasons forpersisting or discontinuing their studies. Semi-structured interviews were conducted at each stage to obtain deeperinformation from the students and the online tutors. The data was analysed with NVivo version 10. The findings ofthe open-ended question surveys and the interviews indicated that the major reasons that led the students to drop outwere lack of basic skills in English, unmet expectations, feelings of isolation, and the inability to balance work,family, and study responsibilities. The study offers a theoretical framework to describe the factors related to studentdropout from a distance language learning programme. This study also offers models of interaction, teaching andlearning in distance language learning to minimise the dropout rate.

scholarly journals An exploration into students' perceptions regarding dropout within the chiropractic programme at a University of Technology

2018 ◽  
Author(s):  
◽  
Nqubeko Lizwilenkosi Buthelezi
Keyword(s):  
South Africa ◽  
Data Analysis ◽  
Student Teaching ◽  
Policy Development ◽  
Dropout Rate ◽  
The Body ◽  
Drop Out ◽  
Student Dropout ◽  
Contextual Design ◽  
University Of Technology

Introduction: Chiropractic is a health profession specialising in the diagnosis, treatment and prevention of disorders affecting the bones, joints, muscles and nerves in the body. It is a type of alternative or complimentary medicine concerned with the relationship between the body's structure and its functioning. The Durban University of Technology (DUT) and University of Johannesburg are the two internationally accredited academic institutions in South Africa to offer the chiropractic programme. The Chiropractic Department at the DUT is one of 13 departments within the Faculty of Health Sciences. A student who successfully completes the chiropractic-training programme becomes registered as doctor of chiropractic by the Allied Health Professions Council of South Africa under Act 63 of 1982 (as amended). However, a number of students drop out from the chiropractic programme before completion. Some of these students transfer to other programmes; others deregister and leave the university, while others are excluded because of the progression rule or because of having exceeded the maximum duration of the programme. Aim of the study: The aim of the study was to explore and describe the perceptions of the students regarding dropping out from the chiropractic programme at the DUT. The study aimed to answer three research questions, which were: 1) what are the perceptions of students regarding dropout from the chiropractic programme at the DUT? 2) what are the determinants of student dropout from the chiropractic programme at the DUT? and 3) how can the dropout rate in the chiropractic programme at the DUT be minimised? Methodology: A qualitative, explorative, descriptive and contextual design was employed. The DUT was used as a data collection site. Data was collected between May and June 2018 using one-on-one semi structured interviews with 12 former students who were previously registered for the chiropractic programme and dropped out before completion. Tesch’s eight steps of data analysis guided thematic data analysis. Findings: The students’ perceptions regarding dropout from the chiropractic programme were grouped into five major themes and several subthemes. The major themes included financial constraints, post course employment, personal, course related and socio- cultural factors. All these themes were, according to the participants, determinants of student dropout from the chiropractic programme. Recommendation from the study findings focused on how the dropout rate in the chiropractic programme could be minimised. Conclusion: The study discovered that, according to the students’ perceptions, there are several determinants of the high dropout rate from the chiropractic programme. Some of these are intrinsic chiropractic programme factors such as course structure, workload and assessment strategy. However, other determinants are outside the programme and generic to all university disciplines/programmes. Nevertheless, it is still critical that attention be given to all determining factors to facilitate retention of students into the chiropractic programme. Recommendations: The following recommendations with special reference to policy development and implementation, institutional management and practice, chiropractic education and further research, are presented. The national and institutional policies regarding application and administration of financial aid should be reviewed and guidelines for application and appeals procedures should be made known to students. Student teaching and assessment strategies should be reviewed periodically and input from students be invited. The Chiropractic Department should ensure that information about the programme and qualification is made available to the public. The chiropractic curriculum should include entrepreneurship to provide information and guidance on how to set up own private practice. The chiropractic programme should institute measures of decolonising the programme in order to address challenges of racial discrimination. A broader research study on reasons for student dropout is recommended.

scholarly journals PENERAPAN ALGORITMA C4.5 PADA KLASIFIKASI POTENSI SISWA DROP OUT

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Muhamad Muhamad ◽  
Agus Perdana Windarto ◽  
Suhada Suhada
Keyword(s):  
Learning System ◽  
Drop Out ◽  
Dropping Out ◽  
Student Dropout ◽  
The World ◽  
C4.5 Algorithm ◽  
New Students ◽  
Education Today

Students are one of the substances that need to be considered in relation to the world of education today. The difficulty of getting students makes the school have to optimize the learning system and infrastructure as well to attract the interest of new students and also make students who have gone to school not drop out or drop out. One of the factors contributing to the large number of students dropping out is because of the lack of policies and actions from the education institutions to keep their students from dropping out. The purpose of this study was to classify potentially dropout students and not have the potential to drop out with the C4.5 algorithm as a reference in making policies and actions to reduce the number of students dropping out. The classification results of the C4.5 algorithm are evaluated and validated with RapidMinerStudio to determine the accuracy of the C4.5 Algorithm in classifying potential dropouts.Keywords: Student dropout, Classification, C4.5 Algorithm

scholarly journals Dropout in an Online Training for Trainee Teachers

2017 ◽  
Vol 20 (1) ◽  
pp. 80-95 ◽  
Author(s):  
Klaus D. Stiller ◽  
Regine Bachmaier
Keyword(s):  
Prior Knowledge ◽  
Computer Anxiety ◽  
Online Training ◽  
Dropout Rate ◽  
Drop Out ◽  
Online Course ◽  
Dropping Out ◽  
Media Pedagogy ◽  
Trainee Teachers ◽  
Domain Specific

AbstractHigh dropout rates are still a problem with online training. It is strongly suggested that learner characteristics influence the decision to persist in an online course or to drop out. The study explored the differences in domain-specific prior knowledge, motivation, computer attitude, computer anxiety, and learning skills between dropouts and active learners who enrolled in a vocational online training about media pedagogy for teachers. The data were collected from 575 trainee teachers from which three groups were formed: (a) students who only registered (n = 72) and (b) students who started learning but failed to complete any of the course modules (n = 124) and (c) active students who completed at least one module (n = 379). A dropout rate of 34.1% was observed. In general, only small effects were found. Students dropping out were older, had less prior knowledge, and lower skills in arranging an adequate learning environment.

Clients' Reasons for Dropping Out of Rehabilitation Centers

1982 ◽  
Vol 51 (3_suppl) ◽  
pp. 1307-1316 ◽  
Author(s):  
Doris Buhrmaster ◽  
Julia Hartman ◽  
Patricia Menefee ◽  
E. M. Shores ◽  
Ronald W. Rogers
Keyword(s):  
Family Support ◽  
Psychological Treatment ◽  
Dropout Rate ◽  
Drop Out ◽  
Treatment Programs ◽  
Dropping Out ◽  
Control Group ◽  
High Expectations ◽  
Rehabilitation Centers ◽  
Final Interview

A high proportion of clients unilaterally drop out of rehabilitation and psychological treatment programs. The purpose of the present study, conducted at a comprehensive rehabilitation center, was (a) to devise an intake interview that would differentiate those clients who would drop out from those who would remain in the program and (b) to interview the dropouts after termination to understand their reasons for leaving their treatment program. Dropouts' responses on these interviews were compared to those of a control group of successful clients who had been matched on demographic variables. The results of the initial interview indicated four factors that successfully identified potential dropouts: (a) unrealistically high expectations, (b) low levels of family support for the client's going to work, (c) parents not working outside the home, and (d) a history of few work responsibilities at home. The final interview suggested four major ways a center should try to reduce the dropout rate; (a) prepare the client for the center by establishing realistic expectations, (b) develop a sense of personal efficacy, (c) obtain family support, and (d) improve social interactions among clients at the center.

scholarly journals EKSTERNALISASI REMAJA PUTUS SEKOLAH REMAJA PUTUS SEKOLAH

2020 ◽  
Vol 1 (2) ◽  
pp. 206-220
Author(s):  
Muhammad Arwan Rosyadi ◽  
Syarifuddin Syarifuddin ◽  
Anisa Puspa Rani ◽  
Taufiq Ramdani
Keyword(s):  
Phenomenological Approach ◽  
Dropout Rate ◽  
Drop Out ◽  
Dropping Out ◽  
Subjective Knowledge ◽  
Personal Initiative ◽  
Family Economy ◽  
High Dropout Rate ◽  
Subjective Meanings ◽  
Out Of School

The high dropout rate in West Nusa Tenggara is a worrying fact behind the incessanteducation programs such as Law No. 20 of 2013 which requires 20 percent of the statebudget for education. In 2017, as many as 80 school-aged children in Guntur Macanvillage, Gunung Sari sub-district, West Lombok Regency were not in school. Besides theexternal factors (family economy) which are considered as the dominant factors causingdropout students, there is a personal initiative factor that encourages adolescents to takeaction to drop out of school. This research aims to understand: (1) the internal motives ofindividuals who encourage teenagers to drop out of school, (2) subjective knowledge aboutdropouts in teenagers dropping out of school, and (3) the form of externalizing the meaningin daily life - specifically in education and economics. This study used a qualitative researchmethod with a phenomenological approach. Then, the subjects of the study are teenagerswho dropped out of school in Guntur Macan Village. The focus and unit of analysis in thisstudy are the motives, subjective meanings, and externalization of individual actors(informants). This study finds out various motives and subjective meanings of studentdropout school. After dropping out of school, externalization in the field of education, themajority took the form of "other externalization", and the minority attended courses at theVocational Training Center. While in the economic field, the majority of teenagers droppingout of school are construction workers (peladen), and the minority are mechanics. Based onthe identification of motives, subjective meaning, and externalization of teenagers whodropped out of school in Guntur Macan Village, three categories of dropping out of schoolactions were obtained; conventional, conditional, and constructional.

scholarly journals FAMILY'S SOCIO-ECONOMIC INFLUENCE ON THE DROPOUT OF INDIAN STUDENTS: A CASE STUDY IN THE DISTRICT OF KUALA MUDA KEDAH

2019 ◽  
Vol 2 (9) ◽  
pp. 77-91
Author(s):  
TH. Subra ◽  
Mohamad Ainuddin Iskandar Lee Abdullah ◽  
Kala Devi
Keyword(s):  
Low Income ◽  
Drop Out ◽  
Dropout Rates ◽  
Dropping Out ◽  
Low Socioeconomic ◽  
Student Dropout ◽  
Indian Student ◽  
The Family ◽  
Parental Commitment ◽  
Indian Students

The problem of dropping out of Indian students should be addressed especially with regard to low-income households (B40). There are many factors driving the dropout of Indian students in schools. The purpose of this study is to examine the socioeconomic factors of the family and the parents' commitment to Indian student dropout. Among its objectives are to identify the socioeconomic influence of the family and the parents' commitment to the dropout of Indian students; learn about the implications of Indian student dropout rates and identify steps to curb Indian student dropout problems. This study was conducted in selected areas in Kuala Muda District of Kedah State, Malaysia involving high school dropout Indian students. This research is qualitative and cannot be extended to other states as researchers use interviewing observation and documentation research. The respondents to this study were 5 dropout students, mostly from B40 families. The findings of this study found that low socioeconomic influence of parents and lack of parental commitment to children's education caused students to drop out of school. The implications of dropping Indian students are also discussed and some suggestions have been made to reduce dropout rates among Indian students.

Why aren't rural children completing compulsory education? A survey-based study in China, 2003 to 2011

2020 ◽  
Vol 12 (2) ◽  
pp. 241-255
Author(s):  
Xiaoyun Liu ◽  
Scott Rozelle
Keyword(s):  
Junior High School ◽  
Compulsory Education ◽  
Dropout Rate ◽  
Ordinary Least Squares ◽  
Drop Out ◽  
Dropping Out ◽  
Data Set ◽  
Content Type ◽  
Nationally Representative ◽  
Years Of Schooling

PurposeAlthough China has instituted compulsory education through Grade 9, it is still unclear whether students are, in fact, staying in school. In this paper, the authors use a multi-year (2003–2011) longitudinal survey data set on rural households in 102–130 villages across 30 provinces in China to examine the extent to which students still drop out of school prior to finishing compulsory education.Design/methodology/approachTo examine the correlates of dropping out, the study uses ordinary least squares and multivariate probit models.FindingsDropout rate from junior high school was still high (14%) in 2011, even though it fell across the study period. There was heterogeneity in the measured dropout rate. There was great variation among different regions, and especially among different villages. In all, 10% of the sample villages showed extremely high rates during the study period and actually rose over time. Household characteristics associated with poverty and the opportunity cost of staying in school were significantly and negatively correlated with the completion of nine years of schooling.Research limitations/implicationsThe findings of this study suggest that China needs to take additional steps to overcome the barriers keeping children from completing nine years of schooling if they hope to either achieve their goal of having all children complete nine years of school or extend compulsory schooling to the end of twelfth grade.Originality/valueThe authors seek to measure the prevalence of both compulsory education rates of dropouts and rates of completion in China. The study examines the correlates of dropping out at the lower secondary schooling level as a way of understanding what types of students (from what types of villages) are not complying with national schooling regulations. To overcome the methodological shortcomings of previous research on dropout in China, the study uses a nationally representative, longitudinal data set based on household surveys collected between 2003 and 2011.

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