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Análise de sobrevivência aplicada à educação
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Authors
Abstract(s)
Esta dissertação assentou em investigar o percurso escolar dos alunos dos quatro Cursos Técnicos
Superiores Profissionais (CTeSP) (Agricultura Biológica, Contabilidade e Fiscalidade, Redes e Siste mas Informáticos e Guias da Natureza) da Escola Superior de Tecnologias e Gestão da UMa, entre os
anos letivos 2015/2016 e 2019/2020.
Numa primeira vertente foi feita uma análise descritiva dos dados com base em indicadores de três
dimensões: social, pessoal e escolar. Em seguida, aplicou-se a teoria da Análise de Sobrevivência ao
tempo que os alunos levam até concluir o curso.
Da análise univariada efetuada às 15 variáveis presentes do estudo, verificámos que as variáveis
CTeSP, ano letivo de início, ex-aluno, apoio social e trabalhador-estudante se mostraram significativas
ao nível de significância 5%, em relação ao tempo até à conclusão do curso. No que se refere ao
modelo de Cox, verificou-se que os antigos alunos da UMa apresentam um menor risco em terminar
o curso (36,10% inferior) comparativamente aos alunos que nunca o foram. Os alunos com apoio
social apresentam uma tendência positiva no seu desempenho comparativamente aos que não o têm
e, por fim, comparando o CTeSP em Guias da Natureza com os restantes, verificou-se que os alunos
que ingressaram nos CTeSP em Contabilidade e Fiscalidade e em Redes e Sistemas Informáticos,
apresentam um risco de terminar o curso de 68,32% e 126,27%, respetivamente, superior. No caso
do CTeSP em Agricultura Biológica, o risco é o mesmo. Assim, estas três covariáveis demonstraram
ter um forte impacto no tempo de duração de um curso.
This dissertation was based on investigating the academic trajectory of students from the four Higher Technical Professional Courses (CTeSP) (Biological Agriculture, Accounting and Taxation, Networks and Computer Systems and Nature Guides) of the UMa School of Technology and Mana gement, between academic years 2015/2016 and 2019/2020. In the first aspect, a descriptive analysis of the data was carried out based on indicators of three dimensions: social, personal and school. Then, the Survival Analysis theory was applied to the time it takes students to complete the course. From the univariate analysis performed on the 15 variables present in the study, we found that the variables CTeSP, starting school year, ex-student, social support and student-worker were significant at the 5% significance level, in relation to the time until completion of the course. With regard to the Cox model, it was found that former UMa students have a lower risk of finishing the course (36,10% lower) compared to students who have never been. Students with social support show a positive trend in their performance compared to those who do not and, finally, comparing the CTeSP in Nature Guides with the others, it was found that students who joined the CTeSP in Accounting and Taxation and Computer Networks and Systems, present a higher risk of finishing the course of 68,32% and 126,27%, respectively, higher. In the case of CTeSP in Organic Agriculture, the risk is the same. Thus, these three covariates have been shown to have a strong impact on the duration of a course.
This dissertation was based on investigating the academic trajectory of students from the four Higher Technical Professional Courses (CTeSP) (Biological Agriculture, Accounting and Taxation, Networks and Computer Systems and Nature Guides) of the UMa School of Technology and Mana gement, between academic years 2015/2016 and 2019/2020. In the first aspect, a descriptive analysis of the data was carried out based on indicators of three dimensions: social, personal and school. Then, the Survival Analysis theory was applied to the time it takes students to complete the course. From the univariate analysis performed on the 15 variables present in the study, we found that the variables CTeSP, starting school year, ex-student, social support and student-worker were significant at the 5% significance level, in relation to the time until completion of the course. With regard to the Cox model, it was found that former UMa students have a lower risk of finishing the course (36,10% lower) compared to students who have never been. Students with social support show a positive trend in their performance compared to those who do not and, finally, comparing the CTeSP in Nature Guides with the others, it was found that students who joined the CTeSP in Accounting and Taxation and Computer Networks and Systems, present a higher risk of finishing the course of 68,32% and 126,27%, respectively, higher. In the case of CTeSP in Organic Agriculture, the risk is the same. Thus, these three covariates have been shown to have a strong impact on the duration of a course.
Description
Keywords
Análise de sobrevivência Educação Cursos técnicos superiores profissionais Percurso escolar Linguagem R Tempo de permanência Survival analysis Education Professional higher technical courses School route R language Lenght of stay Matemática, Estatística e Aplicações . Faculdade de Ciências Exatas e da Engenharia