Uso dos algoritmos Machine Learning para analisar o Moodle e os telefones inteligentes no processo educativo da Física

Autores

DOI:

https://doi.org/10.1590/1983-3652.2023.41293

Palavras-chave:

Moodle, Smartphones, Aprendizado de máquina, Aprendizagem profunda, Educação

Resumo

O objetivo deste estudo misto é analisar as percepções dos alunos sobre o uso do Moodle e smartphones no processo educacional de Física por meio da Ciência de Dados. Os algoritmos de Machine Learning utilizados são regressão linear, árvore de decisão e deep learning. Neste estudo, a incorporação do Moodle facilitou a entrega de tarefas, a consulta dos conteúdos, a comunicação e a revisão dos recursos multimédia. Os smartphones permitiram ainda o acesso a plataformas virtuais de aprendizagem, a utilização de aplicações móveis e a comunicação a partir de qualquer lugar. Os resultados dos algoritmos de regressão linear e deep learning indicam que o uso do Moodle e smartphones influencia positivamente a motivação dos alunos, a assimilação do conhecimento e a satisfação no curso de Física. Por outro lado, o algoritmo da árvore de decisão determina seis modelos preditivos. As limitações são as técnicas de Machine Learning utilizadas e a análise de ferramentas tecnológicas para a assimilação do conhecimento, motivação e satisfação. Estudos futuros podem analisar o uso do Moodle e smartphones para papel ativo e desenvolvimento de habilidades em várias escolas de ensino médio e universidades. Da mesma forma, algoritmos de Machine Learning sobre florestas aleatórias e regressão logística podem ser usados para analisar o impacto dessas ferramentas tecnológicas no desempenho acadêmico. Por último, a incorporação do Moodle e dos smartphones permite a atualização dos cursos e o desenho de atividades criativas a distância.

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Biografia do Autor

Ricardo-Adán Salas-Rueda , Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología, Ciudad de México, México

Doctor en Diseño de Nuevas Tecnologías. Investigador de tiempo completo en el Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México. Investigador Nacional SNI nivel 1 (2019-2021).

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Publicado

18-01-2023

Como Citar

SALAS-RUEDA , R.-A. .; RAMÍREZ-ORTEGA, J. .; MARTÍNEZ-RAMÍREZ, S.-M.; ALVARADO-ZAMORANO, C. Uso dos algoritmos Machine Learning para analisar o Moodle e os telefones inteligentes no processo educativo da Física. Texto Livre, Belo Horizonte-MG, v. 16, p. e41293, 2023. DOI: 10.1590/1983-3652.2023.41293. Disponível em: https://periodicos.ufmg.br/index.php/textolivre/article/view/41293. Acesso em: 25 fev. 2024.