drop out students
96432651
Identification of Drop Out Students Using Educational Data Mining
Education makes a human being steady, stable and prosperous in his way of leading life. In the same way, the number of higher educated persons in a country can contribute to the development of the country. However, this number decreases due to dropout of students at early stage of the education. Furthermore, if a student can't continue or drop out, the resources of a nation is attenuated. Although nowadays the rate of drop out students is diminishing, till now it is a huge challenge for an educational institution to identify the dropout students at the beginning. To address this issue, several approaches have been discussed in educational data mining to identify the rate of drop out students. Following this line in this paper, a threshold based approach has been proposed to identify dropout students that outperforms than the existing approaches.
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Nafisa Tasnim Mahit Kumar Paul A H M Sarowar Sattar
209457129
Performance Analysis of Different Decision Tree Based Methods for Identifying Drop Out Students
The main concern of an educational institution is to enhance the performance of students. But dropping out of students is a large obstacle that creates bad impact in this purpose. For this reason, most of the educational institutions are conscious about reducing the rate of drop out students. To reduce the drop out students, firstly it is needed to identify the reasons behind the drop out students. In this paper to address the issue, different Decision Tree (DT) based methods as well as the boosted approaches have been used. Firstly, the features of the dataset have been sorted according to their importance based on Information Gain (IG) After the features being sorted, the dataset is partitioned into three categories: the all features, twothird of the features and one third of the features. Thereafter the standard DTs and the boosted DTs are being experimented over the partitioned dataset to identify drop out students.
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)
Nafisa Tasnim Mahit Kumar Paul A H M Sarowar Sattar
208958793
Drop Out Students Identification Using Knowledge Base
The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial potential DO, enough potential and once potential. The results of the study produced a system that could help university managers deal with drop out problems early.
bit Tech
Dara Kusumawati Dini Faktasari
213941050
Dropped out Students and the Decision to Drop out in Hungary
The interpretation of the phenomenon of student dropout, which represents a waste of a relatively large proportion of human and material capital in the social, individual and institutional domain, is impossible without examining dropout students. In this study, we analysed the DEPART 2018 database, which contains data from 605 Hungarian dropout students. We tried to identify higher education dropout scenarios and pointed out that higher educational dropout is a complex phenomenon. Based on the students' reports on their interpretation and evaluation of their dropouts, four student clusters were created. We compared the groups with their socio cultural background and their decision to drop out from higher education, and their assessment of that decision. The most important result of the study is that it identifies a new group in addition to the international dropout types, and provides a detailed picture that calls our attention to the diversity of dropout groups, thereby moving beyond the over generalised image of the dropout student.
Central European Journal of Educational Research
Gabriella Pusztai Hajnalka Fenyes Fruzsina Szigeti Katalin Pallay
168660587
PROBLEMS OF DROP OUT STUDENTS IN INDIAN SLUM
The purpose of this paper is to find out the problems of drop out students at elementary level, specially living in slum areas of India. Educational facility at elementary level and its relationship with infrastructural facilities is the main focus of this paper. Paper highlights the role of government to improve elementary education in slum areas of the country with special focus on drop out students. Paper is mainly based on primary and secondary data/ information. Study has taken a total sample of 50 households (25 from each district) by using random sampling technique in the urban areas namely Madiyaon slum of Lucknow in Uttar Pradesh and Dharavi slum of Mumbai in Maharashtra. Intensive interviews have been conducted to procure purpose full information. The numbers of upper primary schools were found half of the primary schools in slum areas. Acording to RTE Act no students could be stop or retained in any class of primary section. To stop drop out situation at elementary level of education, paper recommends opening more government upper primary schools in the slum areas. Due to limited sample size, the research results may lack generalisation. Therefore, researchers and research institutions are encouraged to test the proposed propositions further. Dropping out from elementary education in slum areas are an unexplored area of research which has been covered in this paper.
Tarannum Siddiqui
8702615
Attrition in MOOC: Lessons Learned from Drop Out Students
Despite the popularity of Massive Open Online Course (MOOC) recent studies have found that completion rates are low with some reported to be significantly lower than 10% The low retention and completion rates are major concerns for educators and institutions. This paper investigates motivations for enrolling in a MOOC on the topic of 'e learning' and discusses reasons for the attrition rates during the course. A survey of 134 students who had not completed the MOOC reveals that only 22% of the students had intended to complete the MOOC but was unable to due to various factors including academic and personal reasons. A big majority of the students indicated that changes in their job, insufficient time, difficulty with the subject matter and unchallenging activities are some of the reasons for the drop out.
LTEC@KMO
Christian Gutl Rocael Hernandez Vanessa Chang Miguel Morales Chan
152868350
Tracking Drop out Students in Palestinian Refugee Camps in Lebanon.
This research paper examines the perceptions of students on the school drop out problem in Palestinian refugee camps in Lebanon regarding (a) the social and economic causes associated with the phenomenon of school drop out; (b) the educational policies and practices used in UNRWA schools and their relationship to student drop out; and (c) the role that parents play in preventing Palestinian students from dropping out of school. Based on qualitative field data, the methodology is grounded in tracking the trajectories of five drop out cases. These five cases were drawn from four carefully selected United Nations Relief and Works Agency (UNRWA) schools in Lebanon. The cases provide ethnographic accounts of the risk factors underlying students' dropping out of school in these communities. Attention is paid to important issues, including socio economic status, school curriculum and services, corporal punishment, and family involvement. The conclusion of this paper looks toward developing a plan to address the rate of early school drop out in Palestinian refugee camps based on the findings of this report.IntroductionThe basic education system in the Palestinian refugee camps in Lebanon is managed by the United Nations Relief and Works Agency (UNRWA) Palestinian families and civil society have raised concerns about the quality of education received by most Palestinian children, especially the rising percentage of early school drop out. Structural and institutional factors have led to this. On the one hand, structural issues include the legal restrictions faced by Palestinian refugees in Lebanon, such as the limited opportunities to attend university (primarily because of lack of resources to pay for higher education and because, as noted, most jobs for university graduates are effectively denied to Palestinian refugees in Lebanon) On the other hand, institutional issues include UNRWA's management of its educational programs. The lack of extracurricular activities, such as physical education and arts classes, provided in UNRWA schools, as well as the limited sports and leisure facilities, which are a result of the lack of space and resources, also contribute to high drop out levels (Al Hroub, 2014; CSUCS, 2007) This situation is intensified by poor sanitary conditions in the camps, which affects the morale and motivation of students, as well as undermining their performance (CSUCS, 2007; Demirdjian, 2007).Much of the research on the UNRWA school drop outs in Lebanon has been rooted in a desire to identify the causes, related factors or motivations underlying the act of dropping out. Most existing research takes as its starting point an examination of the characteristics of those students who drop out. Although much is known about the individual attributes of drop outs in the UNRWA schools in Lebanon (e.g. Abdunnur, Abdunnur Madi, 2008; CSUCS, 2007; Ugland, 2003; UNRWA, 2008) most research has not gone beyond a statistical account of the drop out phenomenon. Studies which exclusively rely on statistical data to present a picture of drop outs do not reveal to the researcher the motivations and experiences of those choosing to drop out. This study has adopted an alternative qualitative approach so as to attend to the micro experiences of individual drop outs, while at the same time enabling the construction of a macro level understanding of the phenomenon.The review of literature will be divided into three sections: (1) Palestinians' rights to education and employment in Lebanon, (2) General factors related to dropping out; and (3) Specific risk factors related to refugee students' dropping out.Palestinians' rights to education and employment in LebanonIn Lebanon, Palestinian refugee children and young people have restricted access to the public school system. Furthermore, the cost of private education in Lebanon is among the highest in the region, and most families do not have the financial resources to enrol their children in one of these institutions (Al Hroub, 2014)
Anies Al-Hroub
141947807
"Who am I supposed to let down?" The caring work and emotional practices of vocational educational training teachers working with potential drop out students
Purpose Because of high drop out rates among the students entering vocational education in Denmark retention of students has become pivotal to Danish educational policy. Thus vocational educational training (VET) colleges have been asked to work on implementing different kinds of retention initiatives and as a result, most colleges have established extended basic courses aimed at students with personal, social and/or academic difficulties. This paper aims to explore the emotional aspects of vocational educational teachers' work and present a preliminary analysis of the notion of care as socially situated within the vocational educational system.Design/methodology/approach This paper derives from a study based on fieldwork at a VET college offering extended basic courses. During the fieldwork nine weeks of participating observations and 13 interviews with teachers were conducted.Findings The paper provides empirical insights into the emotional practices and the management of emotions related to preve.
Lena Lippke
149514074
Why do students drop out? Turning points and long term experiences
Abstract Understanding the reasons that individuals drop out of high school is fundamental to improving intervention efforts to promote graduation. The authors present a mixed methods analysis of the reasons individuals drop out of high school before graduating. Using a survey methodology with young adults who left school before graduating (N 1,047, M age 21.5 years, SD 2.2 years, age range =18 25 years) the authors assessed ongoing life stressors, as well as the turning points individuals identified as the top reason for why they left school. Qualitative analysis provided seven categories of turning points: mobility, family, peers, school engagement and environment, health, crime, and multiple categories. More than half of respondents indicated that the reason they dropped out was related to school engagement and environment. Results showed differences across profiles of lived experiences, reported turning points, and sex.
Elana R McDermott Alice E Donlan Jonathan F Zaff
125460271
The effect of mining data k means clustering toward students profile model drop out potential
The high of student success and the low of student failure can reflect the quality of a college. One of the factors of fail students was drop out. To solve the problem, so mining data with K means Clustering was applied. K Means Clustering method would be implemented to clustering the drop out students potentially. Firstly the the result data would be clustering to get the information of all students condition. Based on the model taken was found that students who potentially drop out because of the unexciting students in learning, unsupported parents, diffident students and less of students behavior time. The result of process of K Means Clustering could known that students who more potentially drop out were in Cluster 1 caused Credit Total System, Quality Total, and the lowest Grade Point Average (GPA) compared between cluster 2 and 3.
Windania Purba Saut Parsaoran Tamba Jepronel Saragih