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.

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%.

Gender and Education in Oral Traditions, Culture, and ICTs

2011 ◽  
pp. 392-397
Author(s):  
Chetan Sharma ◽  
Y. R. Maindiratta
Keyword(s):  
Information And Communication Technologies ◽  
Low Income ◽  
Family Income ◽  
Urban Poverty ◽  
Drop Out ◽  
Capital City ◽  
Oral Traditions ◽  
Dropping Out ◽  
Education And Employment ◽  
Set Up

Seelampur, situated in the northeastern part of Delhi, the capital city of India, is characterized by low-income groups, high population density and poor civic amenities. It is a Muslim-dominated area with a high density of population and low family incomes. The average monthly family income is about 60-80 United States (U.S.) dollars, and the average family consists of eight members. Within Seelampur, the area of Zaffarabad (having approximately 90% Muslim population) stands out as a pocket of extreme urban poverty and immensely poor living conditions; open drains are clogged with sewage, power breakdowns are frequent, houses are dilapidated and people are residing in overcrowded lanes. Lack of opportunities in terms of education and employment also mark the life for people here. Formal education has become quite common, and thus, enrolment is high, but dropping out at different grades is a continuing problem. Most young women have not completed high school, as they usually drop out of the school after finishing Grade 8. Datamation Foundation initiated some work in the area, particularly with women, in 2002. At this time, UNESCO launched a pilot initiative to innovate and research social and technological strategies to put information and communication technologies (ICTs) in the hands of the poor. This seemed a good opportunity in the given context, so an ICT center was set up at Zaffarabad. The initiative seeks to deploy ICTs to address urban poverty and is designed to empower the women of Seelampur.

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 Student Dropout at the Hellenic Open University: Evaluation of the Graduate Program, "Studies in Education"

2002 ◽  
Vol 3 (2) ◽  
Author(s):  
Dimitris Vergidis ◽  
Chris Panagiotakopoulos
Keyword(s):  
Distance Education ◽  
Graduate Program ◽  
Dropout Rates ◽  
Dropping Out ◽  
Open University ◽  
Student Dropout ◽  
Extra Effort ◽  
University Evaluation ◽  
Academic Workload ◽  
Key Terms

<p> This study traces the root causes of dropout rates in one post-graduate course “Studies in Education,” offered by the Hellenic Open University (HOU). From our research findings, it was found that the main cause of dropping out stem from a combination of adult learners’ obligations, specifically balancing their academic workload with their employment commitments and family obligations (mainly for female students). The second reason for dropout rates among adult distance education learners include students’ miscalculation of the available time for studying and their underestimation of the extra effort required for effective learning. These reasons can be compared to the educational material, which, in general, was not considered overly difficult and did not appear to compel students to abandon their studies. </P> <P><B>Key terms:</B> dropout, distance education, adults education</P>

scholarly journals Agricultural engineering at UNICAMP: undergraduate student dropout analysis

2010 ◽  
Vol 30 (6) ◽  
pp. 1160-1164 ◽  
Author(s):  
Roberto Testezlaf
Keyword(s):  
Undergraduate Student ◽  
Public Institution ◽  
Dropping Out ◽  
State University ◽  
Student Dropout ◽  
Contemporary World ◽  
Agricultural Engineering ◽  
The Family ◽  
The University ◽  
Official Data

Nowadays, dropping out in B.Sc. courses practically occurs in all Universities of the contemporary world. Undergraduate student withdraw could means several losses as, to the student, not to graduate, to the teacher, for not accomplishing his goal as educator, to the university, for not attending its mission, to the society, economic and social losses and also to the family for unfulfilling the dreams. The objective of this research is to present a quantitative study on the dropping out rate in the Agricultural Engineering B.Sc. program (BSAGENG) at State University of Campinas (UNICAMP), seeking to contribute to the understanding of this issue. It has been determined the dropping out rate from 1995 to 2006 based on the university official data, by employing four different methods of calculation. Three of the methods revealed that dropping out rate is very close to the graduation index, i.e., close to 50%. Regardless of the adopted method for the dropping rate estimation and the statistics demonstrating that the agricultural engineering undergraduate course at UNICAMP figures falls within similar courses normality in Brazil, it should be recognized that a public institution of education should be concerned in presenting such figures. A detailed and deep analysis must be outlined in further studies seeking for specific actions aiming to reduce dropping out process.

Gender and Education in Oral Traditions, Culture, and ICTs

2011 ◽  
pp. 512-518
Author(s):  
Chetan Sharma ◽  
Y. R. Maindiratta
Keyword(s):  
Information And Communication Technologies ◽  
Low Income ◽  
Family Income ◽  
Urban Poverty ◽  
Drop Out ◽  
Capital City ◽  
Oral Traditions ◽  
Dropping Out ◽  
Education And Employment ◽  
Set Up

Seelampur, situated in the northeastern part of Delhi, the capital city of India, is characterized by low-income groups, high population density and poor civic amenities. It is a Muslim-dominated area with a high density of population and low family incomes. The average monthly family income is about 60-80 United States (U.S.) dollars, and the average family consists of eight members. Within Seelampur, the area of Zaffarabad (having approximately 90% Muslim population) stands out as a pocket of extreme urban poverty and immensely poor living conditions; open drains are clogged with sewage, power breakdowns are frequent, houses are dilapidated and people are residing in overcrowded lanes. Lack of opportunities in terms of education and employment also mark the life for people here. Formal education has become quite common, and thus, enrolment is high, but dropping out at different grades is a continuing problem. Most young women have not completed high school, as they usually drop out of the school after finishing Grade 8. Datamation Foundation initiated some work in the area, particularly with women, in 2002. At this time, UNESCO launched a pilot initiative to innovate and research social and technological strategies to put information and communication technologies (ICTs) in the hands of the poor. This seemed a good opportunity in the given context, so an ICT center was set up at Zaffarabad. The initiative seeks to deploy ICTs to address urban poverty and is designed to empower the women of Seelampur.

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.

scholarly journals Socioeconomic Status and Dropout of Children in Community Reading Center

2021 ◽  
Vol 9 (3) ◽  
pp. 341
Author(s):  
Aidhil Putra ◽  
Irmawita Irmawita
Keyword(s):  
Ideal Theory ◽  
Social Conditions ◽  
Drop Out ◽  
Dropping Out ◽  
Analysis Technique ◽  
The Social ◽  
The Family ◽  
New Variables ◽  
Reading Center ◽  
Out Of School

This research was motivated by the low encouragement of dropouts at the Community Reading Center of the Balai Gadang Village to continue their education, which was allegedly due to the low social condition of the family. The purpose of this study (1) is to describe how the social conditions of the family (2) describe the encouragement of children dropping out of school (3) to describe the relationship between family social conditions and the encouragement of children to drop out of school. The type of research used is quantitative correlation. There are 30 people as the population in this study. The technique for taking samples using random sampling, while the sample is 66% of the population to 20 people. The technique for collecting data is a questionnaire/questionnaire. The data analysis technique used theoretical ideal theory, percentage and Spearman Rho. The results of this study found that (1) the social conditions of the family were mostly quite low. (2) the encouragement of children dropping out of school is mostly quite low. (3) There is a significant relationship between family social conditions and the encouragement of children dropping out of school at the Community Reading Center of the Science Post, Balai Gadang Village. In connection with the existing conclusions, the researcher conveys that (1) It is hoped that parents will optimize in terms of looking for daily income and additional income so that their children can get a proper education. (2) It is expected that children who drop out of school can increase their motivation to learn. so that they can get a proper education and can learn both formally and non-formally. (3) It is hoped that more researchers can innovate by researching new variables in order to add and multiply existing variables.Keywords: family social conditions, encouragement of children dropping out of school

scholarly journals A Comparative Study of Dropout Rates and Causes for Two Different Distance Education Courses

2004 ◽  
Vol 5 (2) ◽  
Author(s):  
Christos Pierrakeas ◽  
Michalis Xeno ◽  
Christos Panagiotakopoulos ◽  
Dimitris Vergidis
Keyword(s):  
Distance Education ◽  
Dropout Rates ◽  
Dropping Out ◽  
Educational Approach ◽  
Related Factors ◽  
Student Dropout ◽  
Bachelors Degree ◽  
School Conflict ◽  
The Relationship ◽  
Education Courses

This paper reports the results of a survey conducted to examine the root causes leading to student dropout at a Greek distance education university. Data was gathered from two different courses – an undergraduate course leading to a Bachelors degree in Informatics (characterized by high dropout rates), and a postgraduate course leading to a Masters degree in education (characterized by low dropout rates). A comparative analysis of these two different courses revealed important similarities in dropout percentages and the reasons cited by students for dropping out. Our analysis also revealed important differences as well. This paper presents the results of a survey designed to investigate the relationship between dropout with intrinsic (student-related) factors such as sickness, work/ school conflict etc., and extrinsic (institutional-related) factors such as study methods and materials, educational approach, and tutor influence.

Access: 1954–1983

2005 ◽  
Author(s):  
Patricia Albjerg Graham
Keyword(s):  
High School ◽  
Public Schools ◽  
Supreme Court ◽  
Low Income ◽  
Training Sequence ◽  
Drop Out ◽  
Dropping Out ◽  
Board Of Education ◽  
Public High School ◽  
The Supreme Court

“I’ll Never go to School with a Nigger!” Dickie, an eighth grader in my social studies class, shouted vehemently as we began to discuss the Brown v. Board of Education case prohibiting segregation in public schools that the Supreme Court had decided a year before, in 1954. Dickie was right; he never did, dropping out of school two years later, before his Virginia public high school began desegregation. I was flabbergasted and appalled by Dickie’s assertion, only gradually coming to realize that my new profession, teaching, was heading on a rocky road to improvement. In September 1955, as a new, navy bride, I began teaching in still segregated Deep Creek High School serving the predominantly low-income white community of the Dismal Swamp in southeastern Virginia. Prepared as I had been by the mushy adjustment curriculum of my Indiana public schools (lots of attention to my deficient social skills, not much to strengthening my intellect), I had zipped through college. I added the teacher training sequence after I became engaged in order to have a saleable skill when I married on graduation day. My five education courses, most of which I thought academically and professionally worthless, required that I memorize the Seven Cardinal Principles, still the reigning dogma, and I did, believing they represented the fuzzy thinking I associated with public education. I lived in a totally white world, never having had a black friend, fellow student, or teacher. Under Virginia law at that time Deep Creek High School was also a totally white high school world, though surrounded by a black community. The drop-out rate was high: 140 students in eighth grade but only 40 high school seniors. When Dickie made his assertion about segregation, I was astounded both by the language and by the sentiment. We did not use such a term in my household, and, innocent that I was, I thought the Supreme Court had decided the year before in Brown v. Board of Education that public schools could not be legally segregated by race.

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