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.

The Black Dropout Rate and the Black Youth Unemployment Rate: A Granger-Causal Analysis

1987 ◽  
Vol 15 (3) ◽  
pp. 56-67
Author(s):  
Michael Magura ◽  
Edward Shapiro
Keyword(s):  
Unemployment Rate ◽  
Black Youth ◽  
Youth Unemployment ◽  
Dropout Rate ◽  
Drop Out ◽  
Dropping Out ◽  
High Unemployment ◽  
High Unemployment Rate ◽  
High Dropout Rate ◽  
Definition Of

The high unemployment rate of black high school graduates can create the perception that a diploma is of little value and encourage dropping-out of school. Black youth who do drop out are less employable and further push up the black youth unemployment rate. This raises a question: Is the high dropout rate of black youth due to their high unemployment rate or is their high unemployment rate due to their high dropout rate? A study of this question using the definition of Granger-causality finds that it is the high unemployment rate which causes the high dropout rate rather than the opposite.

scholarly journals School dropout among female learners in rural Mpumalanga, South Africa

2021 ◽  
Vol 41 (3) ◽  
pp. 1-9
Author(s):  
Prince Mokoena ◽  
Adrian D. van Breda
Keyword(s):  
South Africa ◽  
High School ◽  
Rural Community ◽  
High School Dropout ◽  
School Dropout ◽  
Drop Out ◽  
Health Policies ◽  
Dropping Out ◽  
Secondary Schooling ◽  
Out Of School

South Africa, like many countries, has high numbers of learners who do not complete secondary schooling. This reduces these young people’s chances of finding work or of earning a better salary. It is thus important to understand the factors that contribute to high school dropout. In the study reported on here we investigated the factors that caused a number of female learners to drop out and return to high school in a rural community in Mpumalanga. The learners provided 3 reasons for dropping out of school: pregnancy, illness and immigration. The analysis of these factors suggests 3 underlying themes that influence the ability of children to remain in school, viz. health, policies and structures, and poverty. The implications of these and recommendations to address them are discussed. The authors argue that greater interdepartmental efforts are required to support vulnerable girls to remain in school.

Academic Engagement and Dropout Intention in Undergraduate University Students

2021 ◽  
pp. 152102512110636
Author(s):  
Pedro Ricardo Álvarez-Pérez ◽  
David López-Aguilar ◽  
María Olga González-Morales ◽  
Rocío Peña-Vázquez
Keyword(s):  
University Students ◽  
Academic Engagement ◽  
Analytical Approach ◽  
Preventive Measures ◽  
Drop Out ◽  
Dropping Out ◽  
Undergraduate University Students ◽  
The Relationship ◽  
Engagement Scale ◽  
Out Of School

The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical–analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered dropping out had lower scores on the engagement scale. These data are relevant for the adoption of preventive measures against academic dropouts.

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.

Falling Through the Cracks? Grade Retention and School Dropout among Children of Likely Unauthorized Immigrants

2015 ◽  
Vol 105 (5) ◽  
pp. 598-603 ◽  
Author(s):  
Catalina Amuedo-Dorantes ◽  
Mary J. Lopez
Keyword(s):  
Grade Retention ◽  
Residential Location ◽  
School Dropout ◽  
Drop Out ◽  
Dropping Out ◽  
Immigration Enforcement ◽  
Weighted Index ◽  
Repeating A Grade ◽  
Out Of School

We evaluate how intensified interior immigration enforcement impacts the likelihood that children of unauthorized immigrants will repeat a grade or drop out of school. Using a weighted index of the intensity of interior immigration enforcement at the MSA level, we find that increased enforcement has the largest impact on younger children ages 6 to 13. The estimates, which account for the non-random residential location of children and their families, reveal that increased enforcement raises young children's probability of repeating a grade by 6 percent and their likelihood of dropping out of school by 25.2 percent.

scholarly journals Parent’s Efforts on Shaping the Self-Reliance of Students Drop Out of School

2019 ◽  
Vol 2 (1) ◽  
pp. 22
Author(s):  
Sisrika Hayatul Rahmi ◽  
Wisroni Wisroni
Keyword(s):  
Total Population ◽  
The Self ◽  
Drop Out ◽  
Dropping Out ◽  
School Dropouts ◽  
Analysis Techniques ◽  
Community Activities ◽  
Self Reliance ◽  
Quantitative Descriptive ◽  
Out Of School

This research was motivated by the high independence of school dropouts in Jorong Koto Baru Lembah Gumanti District, Solok Regency, which was marked by their own income and their participation in community activities. The independence of teenagers dropping out of school was allegedly due to the efforts of parents in establishing their independence. The total population in this study were 25 teenagers who dropped out of school with a sampling of 60% so that there were 15 people. Data analysis techniques used are quantitative descriptive with percentage calculation. The results of the study found that, (1) the opportunity given by parents, (2) communication conducted by parents, and (3) the responsibility given in the formation of independence in Jorong Koto Baru was categorized as very good.Keywords: Efforts, Independence

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.

The school drop-out or rather “push out” problem in the South and in the North

2019 ◽  
Vol 20 (2) ◽  
pp. 61-75
Author(s):  
Birgit Brock-Utne ◽  
Torill Aagot Halvorsen ◽  
Mwajuma Vuzo
Keyword(s):  
Developing Countries ◽  
Rural Areas ◽  
Developed Countries ◽  
Drop Out ◽  
Dropping Out ◽  
The South ◽  
Ethnographic Interviews ◽  
The North ◽  
School Drop Out ◽  
Out Of School

Both in developing countries in the South and developed countries in the North a large portion of pupils from each cohort drop out or, maybe more correctly described, are pushed out of school each year. In the South, there is also a considerable portion of school-aged children who do not attend school at all. The article examines selected data collected from ethnographic interviews, during a Norwegian ongoing longitudinal project, and a survey in Tanzania, and other developing countries. We ask the questions: What are the reasons for this situation? Are the reasons the same in the South as in the North? In this article examples will be given from a country in the North, Norway and a country in the South, Tanzania. What do we know about the reasons for dropping out of school in these two countries? Who are the children dropping out? From which social class do they come? Are they from urban or rural areas? Were there more boys or more girls? What happens to the children after they drop out of school? How much is the school itself to blame for the situation? How relevant is what is learnt in school to the life children lead and their job prospects? What could have been done differently in order to retain children in school in the South, exemplified by Tanzania, and the North exemplified by Norway?

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