scholarly journals Age and Social Background as Predictors of Dropout in Second Chance Education in Germany

2021 ◽  
pp. 074171362110469
Author(s):  
Claudia Schuchart ◽  
Benjamin Schimke
Keyword(s):  
Academic Performance ◽  
Family Background ◽  
Social Background ◽  
Drop Out ◽  
Dropout Rates ◽  
Socially Disadvantaged ◽  
School Career ◽  
Second Chance Education ◽  
Path Modelling ◽  
Second Chance

Second chance education (SCE) has been established to offer adults the opportunity to catch up on higher qualifications, for instance the eligibility to study. SCE often suffers from high dropout rates, but little is known about the reasons. This article investigates whether dropout rates depend on family background and age, and if so, why. Data from 3278 students at an institution of SCE in Germany who entered this institution between 2000 and 2016 are analysed using logistic path modelling. The results show that the higher dropout probability of socially disadvantaged students can be traced back completely to poorer academic performance in SCE, partly associated with an unfavourable previous school career. Older students are – irrespective of their family background and despite a better academic performance – more likely to drop out than younger students. If SCE aims to reduce these dropout risks, strategies should vary for different groups of students.

THE TROUBLED JOURNEYS OF SCHOOL DROP-OUTS: WASTAGE, REDEMPTION AND POLICY CONSIDERATIONS

2016 ◽  
Vol 12 (1) ◽  
pp. 1-14
Author(s):  
Andile Dube ◽  
Mokubung Nkomo
Keyword(s):  
Qualitative Research ◽  
Young People ◽  
Labour Market ◽  
Training And Development ◽  
Focus Group Interviews ◽  
Second Chance Education ◽  
Qualitative Research Methodology ◽  
Group Interviews ◽  
Drop Outs ◽  
Second Chance

The study traces the pathways of young people who dropped out of school between grades 1 to 11 as they seek re-entrance to the education, training and development (ETD) system, or entrance into the labour market. Particular attention is given to the factors that determine the choices that drop-outs make in either re-entering the ETD system or entering the labour market. An analysis of the experiences of the interviewed sample of drop-outs is presented. The study employs a qualitative research methodology, using interviews to elicit the experiences of drop-outs and school managers. Through snowballing, 14 youths and three principals were selected from a township south of Durban. Individual and focus group interviews were conducted. The findings provide insights into the drop-outs’ perceptions regarding the value of investing in education. They are discussed further in relation to the respective theories used in the study. The concluding section suggests the need for investments in second chance education by government and the private sector, and proposes an integrated model to assist young people who re-enter psychologically and emotionally.

scholarly journals Dropout in schema therapy for personality disorders

2018 ◽  
Vol 21 (2) ◽  
Author(s):  
İsmail Volkan Gülüm
Keyword(s):  
Personality Disorders ◽  
Dropout Rate ◽  
Drop Out ◽  
Dropout Rates ◽  
Schema Therapy ◽  
Weighted Mean ◽  
Group Settings ◽  
Research Findings ◽  
Meta Analyses ◽  
Outpatient Settings

Schema therapy (ST) is a relatively new, but promising, psychotherapy approach. Able to be implemented in both individual and group settings, research findings suggest that ST is a highly effective treatment for personality disorders. As in other treatments for personality disorders, some patients decide to drop out from treatment, feeling they did not benefit. To date, there has been no study in the literature that investigates the dropout rates across ST studies specifically. Consequently, this study systematically researched eight different ST studies in which dropout rates were reported. Together, these studies featured both individual and group therapy settings, inpatient and outpatient settings, and different personality disorder diagnoses. The weighted mean dropout rate was 23.3%, 95% CI (14.8-31.7%) across these studies. Although this finding is very similar to those meta-analyses that obtained their dropout rates from different orientations and diagnoses, namely psychotherapy in general, ST’s dropout rates might be significantly lower than studies that included personality disorders in particular.

scholarly journals Visual analysis to compare academic performances of quota and non-quota students from computer-related programs

2020 ◽  
Author(s):  
Pedro B. Pio ◽  
Igor C. Sodré ◽  
Vinicius R. P. Borges
Keyword(s):  
Academic Performance ◽  
Public Universities ◽  
Visual Analysis ◽  
Dropout Rates ◽  
Quota System ◽  
Brazilian Society ◽  
Analysis Process

The implementation of affirmative actions in public universities is a topic of debate within the Brazilian society, specially regarding the academic performance of students that have been admitted through the quota system. This paper describes a visual analysis process to explore and compare the academic performances of quota and non-quota students from computer-related programs in a public Brazilian university. The results revealed that both failure and dropout rates for quota students are slightly higher than non-quota students in the first terms, but tends to present similar rates at the final terms.

scholarly journals School Environmental Factors Influencing Female Pupils Academic Performance in Public Primary Schools in Iringa Municipality

2021 ◽  
pp. 40-48
Author(s):  
Chesco Aloyce Motto
Keyword(s):  
Academic Performance ◽  
Environmental Factors ◽  
Primary Schools ◽  
Teaching And Learning ◽  
Cross Sectional Study ◽  
Drop Out ◽  
Long Distance ◽  
Cross Sectional ◽  
Factors Influencing ◽  
The Government

This study intended to explore the school environmental factors influencing female pupils’ academic performance in public primary schools at Iringa Municipality. A cross-sectional study design was used where structured questionnaire using open and closed ended questionnaire as well as interviews to participants were used to collect primary information from 123 girls’ pupils and 36 key informants from seven selected public primary schools. Data analysis was done through descriptive statistics (SPSS). The study findings revealed that harsh environmental factors contributing to poor academic performance through sexual harassment by pest teachers, longer distance of a female pupils form schools that affect pupils attendance and drop out, Shortage of teaching and learning resources as well as facilities i.e. text books, library and shortage of latrines  while teaching and learning it is difficult for them to deriver pedagogical principal of teaching following large class size 68-80, and the bias attitude of the teacher towards subject matter that girls are always do performs poor in science subjects than boys. Finally, the study recommends that the government should build hostels for standard six and seven female pupils for solving the issue of long distance and drop out. Good and enough latrines should be built for girls and boys. Teachers should be well trained in order to handle girls well and also government should organize regular workshops for teachers. Either girls pupils should all the time helped by both male and female teachers in their problems and academic matters openly to avoid bias and mistrust among male teachers.

scholarly journals PENGENALAN JIWA WIRAUSAHA DAN MANAJEMEN PRODUKSI SISWA MTS MIFTAHUL ULUM MELALUI PELATIHAN PEMBUATAN TELUR ASIN

2021 ◽  
Vol 5 (1) ◽  
pp. 280
Author(s):  
Udik Yudiono ◽  
Rosita Dwi Ferdiani ◽  
Iva Nurdiana Nur Farida ◽  
Tatik Retno Murniasih ◽  
Rahaju Rahaju
Keyword(s):  
Family Support ◽  
Life Skills ◽  
Production Management ◽  
Family Background ◽  
Drop Out ◽  
Entrepreneurial Spirit ◽  
Pocket Money ◽  
Training Activities ◽  
Out Of School

Siswa MTs Miftahul Ulum sebagian besar berasal dari latar belakang petani dan peternak bebek. Siswa kurang mendapat dukungan keluarga tentang pentingnya pendidikan. Hal ini ditunjukkan banyak siswa yang putus sekolah atau bahkan menikah dini. Berdasarkan permasalahan diperlukan solusi yaitu mengenalkan siswa tentang wirausaha dan manajemen melalui pelatihan pembuatan telur asin sebagai bekal kecakapan hidup. Tim pengabdi melakukan pendampingan pada saat pelatihan pembuatan telur asin. Kegiatan pembuatan telur asin didukung oleh latar belakang keluarga siswa sebagai peternak bebek. Pengasinan merupakan salah satu cara untuk mengawetkan telur agar lebih tahan lama. Telur asin diawetkan dengan bubukan abu dapur. Hasil pengabdian menunjukkan siswa antusias dan senang dengan kegiatan pelatihan. Diharapkan pelatihan ini akan menambah uang saku siswa dan menjadi bekal siswa setelah lulus.   Kata kunci: Jiwa Wirausaha, Manajemen Produksi, Telur Asin ABSTRACT Most of the students of MTs Miftahul Ulum come from a background of duck farmers and breeders. Students lack family support regarding the importance of education. This is shown by many students who drop out of school or even marry early. Based on the problem, a solution is needed, namely introducing students to entrepreneurship and management through training in making salted eggs as a provision for life skills. The service team provides assistance during the salted egg making training. The activity of making salted eggs is supported by the student's family background as duck breeders. Salting is one way to preserve eggs to make them more durable. Preserved salted eggs with kitchen ashes. The results of the dedication showed that the students were enthusiastic and happy with the training activities. It is hoped that this training will increase students' pocket money and become provisions for students after graduation. Keywords: Entrepreneurial Spirit, Production Management, Salted Eggs

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 Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence

2014 ◽  
Vol 1 (3) ◽  
pp. 7-33 ◽  
Author(s):  
Everaldo Aguiar ◽  
G. Alex Ambrose Ambrose ◽  
Nitesh V. Chawla ◽  
Victoria Goodrich ◽  
Jay Brockman
Keyword(s):  
Academic Performance ◽  
Student Persistence ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Student Attrition ◽  
Electronic Portfolios ◽  
Drop Out ◽  
New Techniques ◽  
First Semester

As providers of higher education begin to harness the power of big data analytics, one very fitting application for these new techniques is that of predicting student attrition. The ability to pinpoint students who might soon decide to drop out, or who may be following a suboptimal path to success, allows those in charge to not only understand the causes for this undesired outcome, but it also provides room for the development of early intervention systems. While making such inferences based on academic performance data alone is certainly possible, we claim that in many cases there is no substantial correlation between how well a student performs and his or her decision to withdraw. This is especially true when the overall set of students has a relatively similar academic performance. To address this issue, we derive measurements of engagement from students' electronic portfolios and show how these features can be effectively used to augment the quality of predictions.

scholarly journals Physical Fitness with Regular Lifestyle Is Positively Related to Academic Performance among Chinese Medical and Dental Students

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yujiao Hou ◽  
Guang Mei ◽  
Yutong Liu ◽  
Weisheng Xu
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Physical Fitness ◽  
Family Background ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Dental Students ◽  
Average Score ◽  
Physical Test ◽  
Medical And Dental Students

Objective. The purpose of this study was to examine the relationship between physical fitness, lifestyle, and academic performance of Chinese college students and investigate the differences among medical and dental students on their lifestyle. Methods. This study was conducted with 316 students enrolled from 2012 to 2014 at Tongji University. Scores from the college physical test were used to represent the students’ physical fitness condition. Lifestyle was measured by some variables extracted from the students’ behavior data provided by the university’s information center. Academic performance was measured by the average score of basic courses and the average score of professional courses. Demographic information, including age, gender, nation, and family background, was also obtained. Separate multiple linear regression analysis was performed for modeling academic performance and physical fitness with a p value threshold of 0.05. Results. A total of 212 (45.97% females) medical students and 104 (58.65% females) dental students participated in this study. Physical fitness score (medical: r = 0.34, p<0.001; dental: r = 0.47, p<0.001), library visiting frequency (medical: r = 0.30, p<0.001; dental: r = 0.62, p<0.001), number of books borrowed (medical: r = 0.19, p<0.01; dental: r = 0.37, p<0.001), frequency of waking up early (medical: r = 0.29, p<0.001; dental: r = −0.30, p<0.01), and times of eating breakfast (medical: r = 0.49, p<0.001; dental: r = 0.47, p<0.001) were all significantly associated with academic performance. Library visiting frequency (medical: r = 0.26, p<0.001; dental: r = 0.41, p<0.001) and eating frequency (medical: r = 0.48, p<0.001; dental: r = 0.42, p<0.001) were also closely related with physical fitness. Conclusion. Physical fitness, library usage, and the regularity of lifestyle are significant contributors to academic performance among Chinese medical and dental students. Moreover, medical students are shown to have less rest time compared to dental students.

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