Laboratório Virtual com Dados Reais
Resumo
O laboratório virtual com dados de experimentos reais permite escalabilidade e a capacidade de comparar os dados do experimento obtidos em laboratório por professores e técnicos, disponibilizando estes dados em um portal web para análise de dados pelos alunos. Este trabalho demonstra como é possível implementar as ferramentas que permitem a prática de experimentos laboratoriais para fins de aprendizagem em Engenharia. Os resultados apresentados incluem percepções iniciais dos alunos sobre a ferramenta.
Palavras-chave:
laboratório virtual, laboratório remoto, análise de dados, IoT
Referências
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Floyd, B. et al. (2017). Decoding the representation of code in the brain: An fMRI study of code review and expertise. In 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE). IEEE, 175–186.
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Guzdial, M. (2009). Contextualized computing education of programming. In Proceedings of the Eleventh Australasian Conference on Computing EducationVolume 95. 3–3.
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Lewis, J.R. (2018). The system usability scale: past, present, and future. International Journal of Human–Computer Interaction 34, 7 (2018), 577–590.
Liang, Y. e Liu, G. (2017). Design of large scale virtual equipment for interactive HIL control system labs. IEEE Transactions on Learning Technologies 11, 3 (2017), 376–388.
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NodeMCU. (2021). NodeMCU Documentation Overview. Disponível em: https://nodemcu.readthedocs.io/en/dev-esp32/. Acesso em 07 de fevereiro de 2021.
Pino, J. C. R. et al. (2012). A virtual programming lab for Moodle with automatic assessment and anti-plagiarism features. In Proceedings of The 2012 Internacional Conference on e-Learning, e-Business, Entreprise Information Systems, & e-Government.
Sáenz, J. et al. (2015). Open and low-cost virtual and remote labs on control engineering. IEEE Access 3 (2015), 805–814.
Schulte, C. and Knobelsdorf, M. (2007). Attitudes towards computer science-computing experiences as a starting point and barrier to computer science. In Proceedings of the third international workshop on Computing education research. 27–38.
Simone Barbosa, S. and Silva, B. (2010). Interação humano-computador. Elsevier Brasil.
Wilson, S. et al. (2020). The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems. IEEE Control Systems Magazine 40, 1 (2020), 26–44.
Coursera (2021). Natural Language Processing. Disponível em: https://www.coursera.org/specializations/natural-language-processing. Acesso em 07 de fevereiro de 2021.
Floyd, B. et al. (2017). Decoding the representation of code in the brain: An fMRI study of code review and expertise. In 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE). IEEE, 175–186.
Google. (2021). Google Colab. Disponível em: https://colab.research.google.com/. Acesso em 07 de fevereiro de 2021.
Guzdial, M. (2009). Contextualized computing education of programming. In Proceedings of the Eleventh Australasian Conference on Computing EducationVolume 95. 3–3.
Guzdial, M. (2010). Does contextualized computing education help? ACM Inroads 1, 4 (2010), 4–6.
Harari, Y. N. (2014). Sapiens: A brief history of humankind. Random House.
Hayashi, Victor. (2021). LabVirt: Ventilador. Disponível em: vthayashi/labvirt-ventilador v1.0.0. https://doi.org/10.5281/zenodo.4455268. Acesso em 07 de fevereiro de 2021.
Hayashi, Victor. (2021). vthayashi/weblabead: First Release. https://doi.org/10.5281/zenodo.4455311
Jupyter. (2021). Disponível em: https://jupyter.org/. Acesso em 07 de fevereiro de 2021.
Lewis, J.R. (2018). The system usability scale: past, present, and future. International Journal of Human–Computer Interaction 34, 7 (2018), 577–590.
Liang, Y. e Liu, G. (2017). Design of large scale virtual equipment for interactive HIL control system labs. IEEE Transactions on Learning Technologies 11, 3 (2017), 376–388.
Ministério da Indústria Comércio e Serviços. (2020). Indústria 4.0. Disponível em: http://www.industria40.gov.br/. Acesso em 07 de fevereiro de 2021.
Nielsen Norman Group. (2021). Usability 101: Introduction to Usability. Disponível em: https://www.nngroup.com/articles/usability-101-introduction-to-usability/. Acesso em 07 de fevereiro de 2021.
NodeMCU. (2021). NodeMCU Documentation Overview. Disponível em: https://nodemcu.readthedocs.io/en/dev-esp32/. Acesso em 07 de fevereiro de 2021.
Pino, J. C. R. et al. (2012). A virtual programming lab for Moodle with automatic assessment and anti-plagiarism features. In Proceedings of The 2012 Internacional Conference on e-Learning, e-Business, Entreprise Information Systems, & e-Government.
Sáenz, J. et al. (2015). Open and low-cost virtual and remote labs on control engineering. IEEE Access 3 (2015), 805–814.
Schulte, C. and Knobelsdorf, M. (2007). Attitudes towards computer science-computing experiences as a starting point and barrier to computer science. In Proceedings of the third international workshop on Computing education research. 27–38.
Simone Barbosa, S. and Silva, B. (2010). Interação humano-computador. Elsevier Brasil.
Wilson, S. et al. (2020). The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems. IEEE Control Systems Magazine 40, 1 (2020), 26–44.
Publicado
26/04/2021
Como Citar
HAYASHI, Victor Takashi; MARTINS, Danilo Oliveira; ARAKAKI, Reginaldo; TEIXEIRA, Julio Carlos; ANGÉLICO, Bruno; HAYASHI, Fabio Hirotsugu.
Laboratório Virtual com Dados Reais. In: SIMPÓSIO BRASILEIRO DE EDUCAÇÃO EM COMPUTAÇÃO (EDUCOMP), 1. , 2021, On-line.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 296-304.
DOI: https://doi.org/10.5753/educomp.2021.14497.