Aprendizagem potencialmente significativa de Geometria Molecular por Simulação Digital
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Universidade Federal do Amazonas
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The learning of Chemistry, over the years, has undergone great
transformations, this is due to the fact of seeking new teaching alternatives in order to
favor the construction of knowledge, avoiding a simple memorization of contents.
Materials that are potentially significant for teaching are those that are relatable to or
incorporate into the student’s cognitive structure, in a non-arbitrary and non-literal way,
promoting the process of meaningful learning. In this sense, the objective of this work
is to develop a potentially significant didactic-pedagogical approach based on the
Ausubelian conception, with the use of computer simulation aided by the Information
and Comunication Digital Technologies (ICDT’s) as potentially significant material for
learning molecular geometry. This approach enables the use of several strategies and
subsumer concepts for Molecular Geometry, facilitating learning and making it
meaningful. The research was based on an experimental qualitative approach, with
data collected through diagnostic questionnaires, narratives and learning verification
exercises in a regular Public High School located in the southern zone of the city of
Manaus, with the participation of 10 students of the 1st year volunteers, whose results
were evaluated by content analysis. In the results, it was possible to identify through
Ausubel's theory, that significant learning pointed to two forms: subordinate and
superordinate. It was verified, therefore, that there was a better performance of the
students participating in the research in the first three questions of the post-simulator
questionnaire and evidence of learning with characteristics of progressive
differentiation and integrative reconciliation in the last two questions. The results show
that computer simulation is a very effective technological tool, which generates
dynamic and significant learning, especially in the new pandemic scenario of the new
coronavirus (SARS-COV2), where we had to reinvent ourselves in the face of so many
uncertainties and adversities.
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PEREIRA, Antônio Marcos Vilaça. Aprendizagem potencialmente significativa de Geometria Molecular por Simulação Digital. 2021. 169 f. Dissertação (Mestrado em Ensino de Ciências e Matemática) - Universidade Federal do Amazonas, Manaus (AM), 2021.
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