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Análise das Causas da Evasão na Educação a Distância em uma Instituição Federal de Ensino Superior
Author(s) -
Lucianny Raihanny Alves Cavalcante Reino,
Arturo Hernández-Domínguez,
Olival De Gusmão Freitas Júnior,
Victor Diogho Heuer de Carvalho,
Petrucio Antonio Medeiros Barros,
Marcus de Melo Braga
Publication year - 2015
Publication title -
anais do ... simpósio brasileiro de informática na educação/anais do simpósio brasileiro de informática na educação
Language(s) - English
Resource type - Conference proceedings
eISSN - 2316-6533
pISSN - 2176-4301
DOI - 10.5753/cbie.sbie.2015.91
Subject(s) - dropout (neural networks) , incentive , psychology , library science , mathematics education , computer science , machine learning , economics , microeconomics
This article presents an analysis of the main causes of students dropping out of an undergraduate distance course in a Brazilian federal institution of higher education. The data were collected from the application of two questionnaires: one directed to dropout students and another to the remaining students. Responses were subsequently treated by means of basic statistics for the analysis and the final results. It was observed that the low incentive of teachers and tutors to the students, the difficulty of adaptation to the modality of distance education, and the short time of study dedicated to the course were the most important elements for failure and dropout.

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