Behavior Approach Model of Voluntary University Desertion in Undergraduate Programs in Engineering, Period 2015-2018

Mónica Lizeth Sánchez Arévalo

Universidad Distrital Francisco José de Caldas

Luisa Fernanda Cruz Hueso

Universidad Distrital Francisco José de Caldas

Roberto Ferro Escobar

Universidad Distrital Francisco José de Caldas

Introduction: This article is a research product of “Model Approach to University Dropout Behavior in Schools of Engineering” conducted during 2015-2017 at the Universidad Distrital Francisco José de Caldas.
 
Problem: According to several preliminary studies, university education worldwide has deficiencies and
problems that cause high dropout levels.
 
Aim: To reveal student dropout levels and their impact on these programs nationally and internationally.
 
Methods: To provide a national outlook, statistical reports of the problem were produced using the Higher
Education Institution Dropout Prevention and Analysis System (spadie) tool. For a global view, data gathered
by the World Bank and the United Nations Educational, Scientific and Cultural Organization (UNESCO) were
used.
 
Conclusion: Understanding education as a field continually exposed to change may give rise to strategies to
mitigate shortcomings and ensure the presence of students.
 
Results: The importance of monitoring the factors strengthens the statistical analysis by measuring and
quantifying enrollment and dropout levels.
 
Limitations: The little information provided by the Universidad Distrital hinders its analysis.
 
Originality: An engineering student dropout analysis worldwide is presented and the creation of a compact
base for the Universidad Distrital is proposed.
Keywords: student dropout, engineering dropout, dropout rates,, dropout variables
Published
2018-09-01

How to Cite

[1]
M. L. Sánchez Arévalo, L. F. Cruz Hueso, and R. Ferro Escobar, “Behavior Approach Model of Voluntary University Desertion in Undergraduate Programs in Engineering, Period 2015-2018”, ing. Solidar, vol. 14, no. 26, pp. 1–27, Sep. 2018, doi: 10.16925/in.v14i26.2433.
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