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)
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Jogos e resolução de problemas em aulas de matemática: sentidos atribuídos pelos estudantes do 2.º ano do
Ensino Fundamental
JOGOS E RESOLUÇÃO DE PROBLEMAS EM AULAS DE MATEMÁTICA: sentidos atribuídos
pelos estudantes do 2.º ano do Ensino Fundamental
Este texto relata um estudo de natureza qualitativa que envolveu alunas-estagiárias da disciplina
Fundamentos Teóricos e Metodológicos do Ensino da Matemática, do curso de Pedagogia do
Departamento de Educação, Campus XII da Universidade do Estado da Bahia (UNEB) que, em seu estágio
supervisionado, experienciaram, com alunos do 2.º ano do ensino fundamental em aulas de Matemática, a
metodologia da resolução de problemas na perspectiva do desenvolvimento de jogos e buscaram identicar
e analisar os sentidos atribuídos por eles nessas atividades. No percurso formativo também foi possível
identicar e analisar as possibilidades da utilização dessa proposta metodológica na prática pedagógica,
além de aprofundar os conhecimentos teóricos, graças aos referenciais que embasaram teoricamente a
investigação, ancorados nos estudos de Grando, Muniz, Nacarato, Mengali e Passos, Oliveira e Passos,
Serrazina, e outros que discutem a temática desta pesquisa. Os dados foram coletados e analisados
por meio da utilização de questionário aplicado aos estudantes do ensino fundamental; da observação
participante e da intervenção durante as aulas de matemática; das narrativas orais (audiogravações das
aulas) e das narrativas escritas; e do diário reexivo das pesquisadoras. A análise dos dados indica que
o desenvolvimento de jogos nas aulas de matemática possibilita aos estudantes criar estratégias para
resolução das situações-problema, apropriar-se de conceitos matemáticos através da sua participação ativa
nos jogos, de maneira lúdica e prazerosa. Este trabalho contribuiu para enriquecer conhecimentos, visto
que é possível tornar a matemática mais prazerosa e menos tediosa para os alunos, além de desenvolver o
seu raciocínio, pela participação ativa e pela organização do pensamento matemático.
Palavras-chave: Jogos. Resolução de problemas. Aulas de matemática. Prática pedagógica.
GAMES AND TROUBLE SHOOTING IN MATHEMATICS CLASSES: meanings assigned by
students in the 2nd year of the elementary education
TThis work reports a qualitative research that involved student-trainees in the subject “Theoretical and
Methodological Foundations of Mathematics Teaching”, from the Pedagogy course of the Department of
Education, Campus XII of the State University of Bahia (UNEB), which, in their supervised internship,
experienced, students of the 2nd year of the elementary school in math classes, the methodology of problem-
solving in the perspective of the game development and sought to identify and analyze the meanings
attributed by them in these activities. Along the formative path, it was also possible to identify and analyze
the possibilities of using this methodological proposal in pedagogical practice, in addition to deepening
theoretical knowledge, according to the references that theoretically supported the investigation, anchored
in the studies of Grando, Muniz, Nacarato, Mengali and Passos, Oliveira and Passos, Serrazina, among
others who discuss the theme of this research. Data were collected and analyzed using a questionnaire
applied to elementary school students; participant observation and intervention during mathematics
classes; oral narratives (audio recordings of classes) and written narratives; and the researchers’ reective
diary. The data analysis indicates that the development of games in mathematics classes allows students