Abstract
Transversal competences constitute a set of the knowledge, skills, and attitudes required for various positions and in different professions. Such competences include: entrepreneurship, teamwork, creativity, and communicativeness; they are increasingly listed by employers in different countries as the key requirements in the labor market. The article presents the model of accelerating the process of acquiring transversal competences, developed based on the analysis of data collected in four countries of the European Union: Poland, Finland, Slovakia, and Slovenia. In the analysis, multivariate additive regression spline method was used, along with artificial neural networks, in order to create the best model describing the influence of different variables on the acceleration of acquiring transversal competences. Herewith, we demonstrated that by accelerating the acquisition of the transversal competence of entrepreneurship is influenced by the following factors: rank of the training method in the developed matrix, student numbers and the weighted average of the pace of acceleration regarding the acquisition of the remaining transversal competences, i.e., teamwork, communicativeness and creativity by the given student. The results validate our new method of the acceleration of acquiring transversal competences by students. Students may be from various higher education institutions in different countries. Developed results may be used in the course of education within the framework of the already planned vocational courses and for developing the skills required by employers for various positions and in different professions.
Highlights
The contemporary labor market and knowledge-based economy pose great challenges for employees
It will make possible to identify significant factors influencing the acceleration regarding the growth of transversal competences. This method is newly introduced by us in the context of the labor market and education, and we suggest two models based on multivariate adaptive regression splines (MARS) and the artificial neural network (ANN) as an existing method
In cooperation with higher education institutions from Poland, Finland, Slovakia, and Slovenia, it was possible to develop a method of accelerating the acquisition of selected transversal competences, i.e., entrepreneurship, communicativeness, creativity, and teamwork, and to analyze the data related to the development of the selected competences
Summary
The contemporary labor market and knowledge-based economy pose great challenges for employees One of such challenges is the “Fourth Revolution”, brought about by the development of new technologies related to the Internet, the Internet of Things, Cloud Computing, Interpersonal Communication and Machines, including Cyber-Physical Systems (Lee et al 2015). The future success, innovation and overall performance of enterprises depend on their ability to quickly adapt and integrate while remaining flexible and agile as well as on creating new organizational and managerial ties and relationships (Pártlová 2017) This is possible only if information about the knowledge and skills required by the enterprise is available (Bondar 2013). Any means of accelerating the teaching, which translate directly into accelerating knowledge and competence creation in the company, inevitably leads to improvement of business operations (Szafranski 2015)
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