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Mathematics achievement in engineering: an exploratory study with MIEGI students

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Resumo:Mathematics is a discipline that appears on the syllabus of many courses, including courses in engineering, where it is an essential discipline to the formation of all future engineers, whatever their field of study and work. Despite that, engineering students tend to reveal difficulties with courses based on mathematics. The factors that influence learning mathematics have been the subject of study for several researchers around the world. Researchers attempt to identify variables that explain mathematics achievement, but fail to address university students. In this paper, we present the results of an exploratory study based on industrial engineering students of University of Minho, concerning their grades in the courses of statistics and numerical methods. The preliminary results show that gender is an unexpected and significant factor.
Autores principais:Alves, M.
Outros Autores:Rodrigues, Cristina S.; Rocha, Ana Maria A. C.
Assunto:Mathematics achievement Mathematics learning factors Industrial engineering Minho Gender
Ano:2012
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Mathematics is a discipline that appears on the syllabus of many courses, including courses in engineering, where it is an essential discipline to the formation of all future engineers, whatever their field of study and work. Despite that, engineering students tend to reveal difficulties with courses based on mathematics. The factors that influence learning mathematics have been the subject of study for several researchers around the world. Researchers attempt to identify variables that explain mathematics achievement, but fail to address university students. In this paper, we present the results of an exploratory study based on industrial engineering students of University of Minho, concerning their grades in the courses of statistics and numerical methods. The preliminary results show that gender is an unexpected and significant factor.