**4. Conclusions**

In the technological context of Industry 4.0, the goal of an educational leader is to respond effectively to changing learning styles by implementing virtual and augmented reality, teaching as a facilitator, supporting group work, providing case studies in the real world and teaching through kinaesthetic learning methods. The skills mapping system proposed in this paper acts as an instrument to better understand what we want from iMillennials, as simple operators will be replaced by intelligent systems or creative employees, who must be speculators adapted to technological challenges.

Educational policies are the first source of modeling of the human resources of tomorrow. Competences imposed by new technologies will reshape the labor market as we know it. Today's students are continuously connected through advanced technologies and social networks. The education sector responds to this by adapting curricula and strategies to address the challenges and opportunities posed by this change.

The iMillennials generation is a globally connected generation in which people communicate in the virtual environment and industrial equipment communicates in the virtual environment as well. IoT technology opens the possibilities for creating sustainable economic growth, if educational policies will manage to ensure the competence of Generation Z to communicate with both people and industrial equipment with the same ease. In reducing the skills gap, it is essential to address the expectations coming from the new generations properly while also finding an appropriate response to the challenges of new technologies. Figure 6 describes the interaction of meta-factors and the main factors as given by the characteristics of iMillennials described in Table 1. The main elements are quantified by the scales of the two inventories, with the yellow color representing EQ-I, and the orange color AMI.

**Figure 6.** Constellation map of soft skills.

The focus was on identifying the level at which some main positive characteristics of iMillennials could be quantified to improve them through special programs. Lack of concentration is a negative element that was not quantified. For a group of students with a technical background, two psychological inventories that describe emotional intelligence and motivational acquisitions were applied. Each inventory used was focused on specific features that describe motivational achievement (AMI) or emotional intelligence (EQ-I). As a result, a correlation between three parameters (assertiveness, reality testing, and commitment) was determined. Based on these results, a constellation map of soft skills was produced matching characteristic features of iMillennials and necessary competencies for an Industry 4.0 environment. Starting from the vision of the main meta-factors, around which the secondary factors orbit, we defined the constellations of abilities and personal qualities—soft skills. We designed three meta-factors (primary valences): emotional intelligence, communication strategies, and thinking outside the box. Around each of these primary valences gravitates a series of substructures described as secondary valences. For each new job involved in the Industry 4.0 paradigm, certain specific secondary factors could be selected so as to fit the job description.

Further research will focus on the various applications of this constellation map of soft skills. We also intend to consider the inclusion of the negative features of iMillennials. The approach from this perspective will constitute one of the further developments of our research, especially from the standpoint of educational policies.

**Author Contributions:** Conceptualization, G.B.C. and N.L.C.; methodology, G.B.C.; software, F.C.; validation, G.B.C. and F.C.; formal analysis, G.B.C. and N.L.C.; investigation, G.B.C.; resources, F.C.; data curation, F.C.; writing—original draft preparation, G.B.C.; writing—review and editing, F.C. and N.L.C.; visualization, F.C. and N.L.C.; supervision, G.B.C.; project administration, G.B.C.; funding acquisition, F.C. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work has been funded by University POLITEHNICA of Bucharest, through the "GNAC ARUT Program", UPB–GNAC ARUT. Identifier: UPB-GNAC ARUT-2018 Research project title: IOT platform material flow managemen<sup>t</sup> in industry 4.0, Contract number: 162/ 01.10.2018.

**Acknowledgments:** This work has been funded by University POLITEHNICA of Bucharest, through the "GNAC ARUT Program". Identifier: UPB–GNAC ARUT Program–2018 Research project title: IOT platform material flow managemen<sup>t</sup> in industry 4.0, Contract number: 162/ 01.10.2018.

**Conflicts of Interest:** The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
