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)
Marcus Túlio de Freitas Pinheir, André Ricardo Magalhães e Karine Socorro Pugas da Silva
79
Salvador, v. 5, n. 2, p. 78-96, mai./ago. 2020
O USO DO GEOGEBRA PODE POTENCIALIZAR O ENSINO-APRENDIZAGEM DAS
FUNÇÕES LOGARÍTMICAS?
Diante das diculdades encontradas, ao longo do processo de ensino da disciplina Introdução à Matemática,
houve a necessidade de se repensar sobre a práxis pedagógica e quais os entraves encontrados nesse processo
de apropriação do conhecimento matemático. Este trabalho, fruto da pesquisa de mestrado, ocorreu no
Instituto Federal de Educação, Ciência e Tecnologia da Bahia (IFBA), campus Camaçari, com alunos do
primeiro semestre de Licenciatura em Matemática. Esse estudo teve como objetivo analisar como o GeoGebra
pode potencializar o ensino-aprendizagem das funções logarítmicas. Como resposta a esse objetivo, houve a
necessidade da construção, aplicação e análise de sequências didáticas com o uso desse software. A metodologia
utilizada, de caráter qualitativa, consistiu em algumas etapas. Primeiro, realizou-se uma entrevista guiada
com quatro grupos focais, a qual forneceu subsídios para elaboração de uma sequência didática, referendada
pela Teoria das Situações Didáticas (TSD), de Guy Brousseau. Nesta sequência foi aplicada com o grupo de
alunos e posteriormente analisada. Para as análises de todo o processo, desde a aplicação até os resultados
obtidos, utilizou-se da Engenharia Didática. Os resultados da análise da aplicação dessa sequência didática e
o questionário respondido pelos discentes sugerem que o uso do GeoGebra contribuiu de forma signicativa
para o ensino-aprendizagem das funções logarítmicas. Dessa forma, a escolha da TSD e o uso do GeoGebra
não se resume à uma técnica para corroborar na aprendizagem de conteúdos matemáticos, mas é ampliada pela
necessidade de formar cidadãos conscientes no seu papel como atores transformadores da sociedade, onde a
reexão e o pensamento crítico seja o objetivo nal.
Palavras-chave: Funções Logarítmicas. GeoGebra. Engenharia Didática. Teoria das Situações Didática.
¿PUEDE EL USO DE GEOGEBRA MEJORAR LA ENSEÑANZA-APRENDIZAJE DE LAS
FUNCIONES LOGARÍTMICAS?
En vista de las dicultades encontradas, a lo largo del proceso de enseñanza de la disciplina Introducción
a las Matemáticas, hubo una necesidad de repensar sobre la praxis pedagógica y cuáles son los obstáculos
encontrados en este proceso de apropiación del conocimiento matemático. Este trabajo, resultado de una
investigación de maestría, tuvo lugar en el Instituto Federal de Educación, Ciencia y Tecnología de Bahía
(IFBA), campus de Camaçari, con estudiantes del primer semestre de una Licenciatura en Matemáticas. Este
estudio tuvo como objetivo analizar cómo GeoGebra puede mejorar la enseñanza-aprendizaje de las funciones
logarítmicas. En respuesta a este objetivo, era necesario construir, aplicar y analizar secuencias didácticas
utilizando este software. La metodología utilizada, de carácter cualitativo, consistió en algunas etapas. Primero,
se realizó una entrevista guiada con cuatro grupos focales, que proporcionaron subsidios para la elaboración de
una secuencia didáctica, respaldada por la Teoría de situaciones didácticas (TSD) de Guy Brousseau. En esta
secuencia se aplicó con el grupo de estudiantes y luego se analizó. Para el análisis de todo el proceso, desde
la aplicación hasta los resultados obtenidos, se utilizó la Ingeniería Didáctica. Los resultados del análisis de
la aplicación de esta secuencia didáctica y el cuestionario respondido por los estudiantes sugieren que el uso
de GeoGebra contribuyó signicativamente a la enseñanza-aprendizaje de las funciones logarítmicas. Por
lo tanto, la elección de TSD y el uso de GeoGebra no se limita a una técnica para apoyar el aprendizaje de
contenido matemático, sino que se amplica por la necesidad de capacitar a ciudadanos conscientes en su papel
como actores transformadores en la sociedad, donde la reexión y el pensamiento crítico es el objetivo nal.
Palabras clave: Funciones logarítmicas. GeoGebra. Ingeniería Didáctica. Teoría de situaciones didácticas.