Abstract
This work presents the development of a model based on fuzzy logic to perform an evaluation and decision making based on multiple criteria intended to diagnose soft skills in Engineering courses. This scientific tool was developed using the fuzzyTECH software, which supported the calculations necessary for the delivery of the results. The hierarchical structure of the top-down tree was developed using a Systematic Bibliographic Review, based on the search databases Web of Science, Science Direct, Scopus databases and on the European Journal of Engineering Education and Journal of Engineering Education. The search comprised 15 years and combined keywords from two main fields: Engineering and Humanities. The 3951 articles obtained were ranked by the scientific ranking algorithm indexOrdinatio, which takes into account the year of the article search, the year of publication, the number of citations in Google Scholar and the JCR of the journal in which the article is indexed. At the end, 59 articles were critically analyzed, capturing the most important soft skills for Engineers to be used in the modeling composition. This robust tool has been validated and has shown the characteristics of reliability, stability, validity and consistency.
Highlights
IntroductionIn the development of these pedagogical projects, it is not common to use tools that comprise soft skills in the training of engineering professionals
This work presents the development of a model based on fuzzy logic to perform an evaluation and decision making based on multiple criteria intended to diagnose soft skills in Engineering courses
The choice of fuzzy logic to conceive the modeling presented in this work was motivated by the fact that it operates in a similar way to human reasoning, incorporating subjectivities intrinsic to soft skills
Summary
In the development of these pedagogical projects, it is not common to use tools that comprise soft skills in the training of engineering professionals. There is not a wide range of instruments that assist the decision-making process in Engineering training regarding soft skills. There are still few tools to assist in the decision making process regarding soft skills assessment in the training of Engineers. This fuzzy modeling allows identifying strengths and weaknesses in the development of soft skills in Engineering courses, promoting measurable and specific adjustments in Engineering curricula
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