Melhorar o ensino e a aprendizagem do electromagnetismo com modelação computacional interactiva
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Data
2017
Autores
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Editora
Edições Universitárias Lusófonas
Resumo
A fundamental aspect of current modelling processes in Science, Technology, Engineering and Mathematics (STEM) is the increasing importance of advanced knowledge about mathematical physics models and scientific computation methods and technologies. Meaningful learning of this advanced knowledge is a difficult cognitive process which involves the progressive construction of a strong background of knowledge in physics, mathematics and scientific computation, appropriately adjusted to the different STEM areas. The STEM learning environments should thus be based on pedagogical curricula and methodologies that balance the integration of interactive engagement sequences of computational modelling activities, created with computer modelling systems able to offer students opportunities to develop the knowledge of physics, mathematics and scientific computation, and the learning of the specific concepts and processes of each area. In this paper we discuss the application in this context of exploratory and expressive computational modelling activities created in the Modellus environment. We describe a sequence of activities about electromagnetism implemented in undergraduate university engineering courses with first year students, having only elementary knowledge of Secondary Education physics and mathematics and no prior knowledge about scientific computation. We analyse the student’s receptivity degree and the effects generated on the learning process.
Descrição
Revista Lusófona de Educação
Palavras-chave
COMPUTAÇÃO, EDUCAÇÃO, ENSINO DA FÍSICA, APRENDIZAGEM, INTERATIVIDADE, ELETROMAGNETISMO, ELECTROMAGNETISM, COMPUTATION, EDUCATION, PHYSICS EDUCATION, LEARNING, INTERACTIVITY
Citação
Neves , R 2017 , ' Melhorar o ensino e a aprendizagem do electromagnetismo com modelação computacional interactiva ' , Revista Lusófona de Educação , vol. 35 , no. 35 , pp. 171 - 190 . https://doi.org/10.24140/issn.1645-7250.rle35.10