It has become a topic at Dutch educational institutes to feel not only responsible for improvement of theoretical and practical skills, but also of 'competences' in a broader sense. The curriculum of the Electrical and Electronic (E&E) Department has been changed enormously in the past decade. Fewer lessons and many more projects were introduced. We have choosen to let the students work on competences especially in the projects they are in. With the introduction of competences and the aid of a student portfolio we have given the tools to the students to improve their competences in a broader way. At the E &E department we introduced two different ways of working on competences. In the first years of their study students choose different roles in our projects every time. We have described all the roles and the related tasks for each specific role. While working on a role, the students indirectly work on different competences. This way of working inforces a broader educational level (a student shouldn t work on things he already knows or is able to handle) and the hitch hiking behaviour is banned out. Students now do take responsibility while contributing to the project teams. Inquiries amongst the students confirm these results. The second way is working on the specific competences in their traineeship and thesis work in the last part of their study. This will be introduced in autumn 2004 in the E&E department. In this paper we will show you how we are implementing the integration of competences, like the E&E department did, for IPD projects as well. This implementation is planned to start in autumn 2004.
Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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The pace of introduction of new technology and thus continuous change in skill needs at workplaces, especially for the engineers, has increased. While digitization induced changes in manufacturing, construction and supply chain sectors may not be felt the same in every sector, this will be hard to escape. Both young and experienced engineers will experience the change, and the need to continuously assess and close the skills gap will arise. How will we, the continuing engineering educators and administrators will respond to it? Prepared for engineering educators and administrators, this workshop will shed light on the future of continuing engineering education as we go through exponentially shortened time frames of technological revolution and in very recent time, in an unprecedented COVID-19 pandemic. S. Chakrabarti, P. Caratozzolo, E. Sjoer and B. Norgaard.
