scholarly journals Review of some studies on university student dropout in Colombia and Latin America

2013 ◽  
Vol 23 (4) ◽  
pp. 37-46
Author(s):  
Luceli Patiño de Peña ◽  
Angélica María Cardona Pérez
Keyword(s):  
Latin America ◽  
Secondary Education ◽  
Research Paper ◽  
University Student ◽  
Dropping Out ◽  
Paper Study ◽  
Education Policies ◽  
Pedagogical Strategies ◽  
Student Dropout ◽  
University Dropout

A study was developed from the research paper Study of academic mortality, pedagogical strategies, and dropout on dropout levels in Colombia and Latin America in order to identify factors that in some way affect increased dropout, such as admissions exams, vocational guidance, economics, and personal difficulties. We also identified the elements of greatest convergence: causes of dropping out, economic difficulties, students’ personal and family histories, secondary education, and, to a lesser degree, suggested strategies that can be used by universities. Therefore, we can conclude that despite the great diversity of studies, the shortcoming lies in the lack of effective policies curtailing university dropout and lack of support for regional education policies to integrate university, society and State.

scholarly journals Early Dropout Prediction Model: A Case Study of University Leveling Course Students

2020 ◽  
Vol 12 (22) ◽  
pp. 9314 ◽  
Author(s):  
Iván Sandoval-Palis ◽  
David Naranjo ◽  
Jack Vidal ◽  
Raquel Gilar-Corbi
Keyword(s):  
Neural Network ◽  
Early Stage ◽  
Activation Function ◽  
Dropping Out ◽  
Student Dropout ◽  
The Neural Network ◽  
Early Dropout ◽  
Substantial Investment ◽  
University Dropout ◽  
National Governments

The school-dropout problem is a serious issue that affects both a country’s education system and its economy, given the substantial investment in education made by national governments. One strategy for counteracting the problem at an early stage is to identify students at risk of dropping out. The present study introduces a model to predict student dropout rates in the Escuela Politécnica Nacional leveling course. Data related to 2097 higher education students were analyzed; a logistic regression model and an artificial neural network model were trained using four variables, which incorporated student academic and socio-economic information. After comparing the two models, the neural network, with an experimentally defined architecture of 4–7–1 architecture and a logistic activation function, was selected as the model that should be applied to early predict dropout in the leveling course. The study findings show that students with the highest risk of dropping out are those in vulnerable situations, with low application grades, from the Costa regime, who are enrolled in the leveling course for technical degrees. This model can be used by the university authorities to identify possible dropout cases, as well as to establish policies to reduce university dropout and failure rates.

scholarly journals A Multinomial and Predictive Analysis of Factors Associated with University Dropout

2018 ◽  
Vol 23 (1) ◽  
Author(s):  
Tatiana Fernández-Martín ◽  
Martín Solís-Salazar ◽  
María Teresa Hernández-Jiménez ◽  
Tania Elena Moreira-Mora
Keyword(s):  
Social Impact ◽  
Machine Learning Algorithms ◽  
Dropping Out ◽  
Multinomial Regression ◽  
Study Program ◽  
First Semester ◽  
Student Dropout ◽  
Academic History ◽  
And Performance ◽  
University Dropout

The phenomenon of dropout, by its complexity and educational and social impact, has been extensively studied to understand the specific causes. In this line of research, the purpose of this study was to analyze explanatory and predictive models of student dropout from university studies at the Instituto Tecnológico de Costa Rica (TEC), based on many variables recorded in the institutional system indicators. The first stage of the analysis considered multinomial regression models to identify the influence of these variables on the dropout. In the second analysis, six machine learning algorithms were evaluated in order to find a model that would predict student dropout. Data analysis showed that the probability of dropping out is related to sociodemographic variables, study program, academic history, scholarship and other benefits, and performance after first semester. In addition, the best predictor of dropout algorithm was the “random forest”, a probability of 0.83 to predict the dropout correctly and to capture 34% of the actual student dropout. These results are the first step toward building a more robust predictive model of dropout, which will contribute to preventive decision making in this university.

scholarly journals Automatic Promotion and Student Dropout: Evidence from Uganda, Using Propensity Score in Difference in Differences Model

2018 ◽  
Vol 7 (2) ◽  
pp. 191 ◽  
Author(s):  
Jeje Moses Okurut
Keyword(s):  
Propensity Score ◽  
Dropping Out ◽  
Probit Regression ◽  
Difference In Differences ◽  
Student Dropout ◽  
Analysis Technique ◽  
Analysis Strategy ◽  
Negative Effect ◽  
And Control ◽  
The Impact

The impact of automatic promotion practice on students dropping out of Uganda’s primary education was assessed using propensity score in difference in differences analysis technique. The analysis strategy was instrumental in addressing the selection bias problem, as well as biases arising from common trends over time, and permanent latent differences between the treated and control groups. Probit regression results indicate a negative effect on the probability of students dropping out, but only at P3. There seems to be no policy effect at P6. Decomposing the effect incidence along school location shows the policy as having had an effect only on P3 students studying in urban schools; otherwise, there is no effect among students at P3 rural, P6 rural or P6 Urban. In terms of the gender component, automatic promotion appears to have had an effect on P3 male and female students and no effect on either sex at P6.

scholarly journals A look at university dropout in Moroccan higher education

2017 ◽  
Vol 7 (9) ◽  
Author(s):  
Zoulal MANSOURI ◽  
Mohamed El Amine MOUMINE
Keyword(s):  
Higher Education ◽  
Action Plan ◽  
Dropping Out ◽  
Education Reforms ◽  
Review Of The Literature ◽  
Higher Education Reforms ◽  
Strategic Vision ◽  
University Dropout ◽  
And Training ◽  
Made In

This article takes stock of the aspects of higher education provision invested in the fight against the phenomenon of dropping out of university. These aspects are exposed from a review of the literature on higher education reforms in Morocco since 1999. Chronologically, they are reviewed in the National Charter for Education and Training 1999, in the Plan of Emergency 2009-2012, in the Action Plan 2013-2016, and finally, in the Strategic Vision of the Reform 2015-2030. It is concluded that despite the efforts made in quantitative retention étudiantsà university until graduation, progress still to make qualitatively.

The Legacy of Thatcherism For Education Policies: Markets, Managerialism and Malice (towards Teachers)

2014 ◽  
Author(s):  
Peter Dorey
Keyword(s):  
Secondary Education ◽  
Education Policy ◽  
Teaching Profession ◽  
Parental Choice ◽  
Managerial Control ◽  
Education Policies ◽  
Comprehensive Education ◽  
Post War

The Thatcherite approach to secondary education, which has broadly been adhered to by subsequent governments, was characterized not so much by the traditional 3 ‘Rs’, as by 3 ‘Ms’—marketization, managerialism and malice towards many of those working in education. These three themes and associated policies were predicated on a critique which was scornful of post-war secondary education in Britain, particularly the shift to comprehensive education and its professed egalitarianism, coupled with the apparent hegemony of the education ‘establishment’ in shaping education policy. This chapter examines how the Thatcher governments, and their successors, sought to instil market principles and practices into secondary education, with the associated discourse of competition and (parental) choice. Accompanying this process of marketization was the imposition of greater managerial control over teachers, as symbolized by a regime of audit and inspection, coupled with constant populist denigration of the alleged faults and failings of the teaching profession.

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