Aprendizagem da transformada de Fourier por meio da análise do canto de pássaros locais: um estudo de caso
DOI:
https://doi.org/10.24215/18509959.41.e10Palabras clave:
Metodología activa, Educación en tecnología, Aprendizaje basado en problemas, Educación en ingeniería, Habilidades de computación, Educación en informática, Señales y sistemas, Pensamiento críticoResumen
A transformada de Fourier é essencial para profissionais de tecnologia e engenharia, devido às suas aplicações em processamento de sinais, imagens, telecomunicações e aprendizado de máquina. Apesar disso, seu ensino, geralmente em disciplinas de sinais e sistemas, enfrenta desafios devido à natureza abstrata e complexa dos conteúdos, resultando em alta evasão e desmotivação entre os estudantes. Diante desse contexto, este trabalho avalia a percepção dos estudantes de Engenharia de Computação sobre uma abordagem inovadora de ensino da transformada de Fourier baseada na análise de sinais do canto de pássaros presentes na realidade local dos alunos. A metodologia envolveu o desenvolvimento de scripts para análise dos sinais em ambiente MATLAB®. A avaliação dessa estratégia foi realizada por meio de um questionário com escala Likert, e os resultados, validados estatisticamente, indicaram maior motivação dos estudantes, além de avanços significativos no desenvolvimento de habilidades práticas de programação, trabalho em equipe e aprendizagem. Os estudantes relataram que a abordagem facilitou a compreensão de conceitos complexos e contribui para o desenvolvimento de competência em programação voltadas à resolução de problemas aplicados, tornando o processo de aprendizado mais atrativo.
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Derechos de autor 2025 Willian Ricardo Bispo Murbak Nunes, Matheus Bonfim da Rocha, Murilo Garrido Volpato, Samuel Felipe Córdova Victório
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