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Evaluation of Soft Skills Through Educational Testbed 4.0

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1488))

Abstract

Industry 4.0 is promoting changes in the labour market through the need for digitalization. As a result, new skills, new job profiles and training programs need to follow this transformation, as these technological trends are affecting the work profiles and skills required by the workforce for Industry 4.0. To develop the workforce of the future, specifically soft skills for industry 4.0, it is necessary to have innovative teaching methodologies for workforce training, which encourages the development of specific soft skills for industry 4.0 of the workforce. With this in mind, this work aims to evaluate the development of soft skills through the Educational Testbed 4.0 teaching methodology in bachelor students at a Brazilian university. The proposed model was illustrated that the development of teamwork, communication and creativity were developed, improved and enhanced from the training program, provided from course inserted in the university program. In addition to checking important issues for the students who attended the course, including teamwork, contact with the labour market, real problem solving, among other issues encoded using Software QSR Nvivo® version 10, 90% to 95% of the respondents agreed that teamwork and communication were the soft skills most developed and used during the course or training program.

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Acknowledgements

This research has been supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil) – Finance Code N\(^{\circ }\) 001 and ABDI (Agência Brasileira de Desenvolvimento Industrial).

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Correspondence to Joseane Pontes .

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da Silva, L.B.P., Barreto, B.P., Pontes, J., Treinta, F.T., de Resende, L.M.M., Yoshino, R.T. (2021). Evaluation of Soft Skills Through Educational Testbed 4.0. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2021. Communications in Computer and Information Science, vol 1488. Springer, Cham. https://doi.org/10.1007/978-3-030-91885-9_51

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  • DOI: https://doi.org/10.1007/978-3-030-91885-9_51

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