Linear regression in the Enade of Economics: an analysis based on Statistical Literacy
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Abstract
In this article, the knowledge of Brazilian students on Regression Analysis was analysed, based on the different types of Statistical Literacy skills proposed in Gal's model (2002). For this, the question that presented the worst performance in the main instrument for evaluating Brazilian higher learning was used: the National Student Performance Examination (ENADE). The Exam assesses students according to the content, skills and abilities provided for in the curriculum guidelines of the courses.It was found that the chosen question represented a professional scenario, in which skills with formulas and statistical algorithms were not the main required knowledge. The student had to issue an opinion on the results of Hypothesis Tests related to certain theoretical assumptions about the errors of the built regression models, in the context of the financial market. This scenario may reflect the teaching process that have been carried out in Brazilian economics courses, which seem to be more oriented towards mathematical technique and not towards a broad perspective of Statistical Literacy. Therefore, from a pedagogical point of view, there is a need to implement changes in Linear Regression teaching practices, which provide better student performance, in addition to better preparing the economist professional, in view of the new literacy demands required for citizenship.
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Uma nova publicação de artigo anteriormente publicado na Revista Baiana de Educação Matemática, fica sujeita à expressa menção da precedência de sua publicação neste periódico, seguindo as normas de referência. Autores que publicam na RBEM concordam com os seguintes termos:
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