Substantial and continuous shifts in skills demands urge us to rethink education, labour market and reintegration policies and practices. In this article, we argue for a more skills based approach to (re)integration. This skills based (re)integration practice is based more on up-to-date, complete and validated skills sets of candidates, than on diplomas and other, more or less, outdated and incomplete proxies to one’s current skills. Such a new reintegration practice seems feasible if the actual and complete skills set of an individual becomes the starting point for both matching, guidance and (up/re)skilling efforts. Intersectoral mobility, alternative career pathways and suitable training and development routes can be designed on a more fine-grained skills basis, with occupations considered more as dynamic sets of tasks requiring specific skills. This new (re)integration practice presupposes a common skills language, which is being developed in the Netherlands, Competent NL. Sectoral and intersectoral experiments with skills instruments using this language, such as skills passports, are conducted to optimize their quality and effectiveness. Since first experiments with skills instruments seem promising, we argue that more room for experiment is required. So that integration in the labor market can be sustained and reintegration practices can be prevented.
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The purpose of this article is to explore innovative and adaptive ways of matching people with jobs in the context of a Dutch policy initiative aimed at the skills mismatch in the region of Amsterdam. This is an important and urgent issue because of the challenges of the future labor market, in which technological disruption and socio-economic forces affect the content and conditions of jobs and occupations. Powered by digital technology and data-driven approaches it is possible to design ‘?ne-grained’ matching systems based on skills or competences. The article combines an exploration of occupational taxonomies, skills frameworks and good practices of these skills-based applications with a theoretical discussion on the relevance and adaptations of Person-Environment Fit and matching theories. The article shows that these new forms of innovative, adaptive and ?uid matching have bene?ts for policy-makers, employers and jobseekers alike. In the discussion section some critical remarks are made on the matching theory and its application in contemporary instruments and tools. https://www.ojs.tnkul.pl/index.php/jpepsi/article/view/9624
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We assess the incidence of numeracy skills mismatch in five countries: Belgium, Chile, Italy, Netherlands, and the United States of America. To do this, we make use of a new approach (Brun-Schamme & Rey, 2021), namely by identifying someone as being mismatched if the score for numeracy skills is outside the interval [median – SD , median + SD]. We make use of the PIAAC dataset, collected by the OECD, a survey that measures adults’ proficiency in numeracy among other type of skills. We find that 14% of the workers are over-skilled, whereas 16% are under-skilled. Being over-skilled is more likely for men, younger age-groups, having a high level of education, using numeracy skills often at work, and having studied science, mathematics, and engineering.
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This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related job advertisements, and conducting 24 focus group sessions with 145 industry and policy experts. The findings underscore the importance of both general technical skills in AI related to big data, machine learning and deep learning, cyber and data security, large language models as well as AI soft skills such as problemsolving and effective communication. This study sets the foundation for future research directions, emphasizing the importance of upskilling initiatives and the evolving nature of AI skills demand, contributing to an EU-wide strategy for future AI skills development.
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Jos Sanders (HAN), Melissa Selzener (Hanze) en Harm van Lieshout (Hanze) beschouwen de transformatie van een diplomagericht naar een skillsgericht ecosysteem van onderwijs en arbeidsmarkt. Ze zien binnen deze transformatie, indachtig het werk van nobelprijswinnares Elinor Ostrom (1990), ‘skills’ in onze samenleving als een zogenaamde ‘common’. Een common is een collectief goed dat zorgzaam wordt beheerd door een gemeenschap op basis van duidelijke afspraken en regels, gefundeerd in een duidelijk normen- en waardenpatroon. Ze zien het skillsgerichte ecosysteem van onderwijs en arbeidsmarkt als een ‘system of commons’ en gebruiken Ostrom’s acht principes voor ‘governing the commons’ (1990; 2000) om tot een realistisch toekomstperspectief te komen voor de verdere ontwikkeling van een succesvol skillsgericht ecosysteem van onderwijs en arbeidsmarkt. Zij roepen de overheid op om een veel actievere, aanjagende en coördinerende rol te pakken in deze transformatie: organiseer het skillsgerichte ecosysteem en zorg voor een goed geëquipeerde hoeder (‘marktmeester’) van dat ecosysteem.
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The aim of this study is to clarify how pre-service teachers perceive mentor teachers' use of mentoring skills. Sixty stimulated-recall interviews were conducted, each in connection with a previously recorded mentoring dialogue. A quantitative analysis showed that six types of mentoring skills appeared to be perceived by pre-service teachers as offering emotional support and five others as offering task assistance. After mentor teachers were trained in mentoring skills, shifts in their frequencies of use of distinct skills, as observed by independent raters, corresponded to a considerable extent with shifts in frequencies of pre-service teacher perceptions of mentor teachers' mentoring behaviour.
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The importance of professional skills in future engineering jobs is beyond discussion. Increasing numbers of universities have integrated training for such skills in their engineering curricula to prepare students to become highly qualified employees. HU University of Applied Sciences Utrecht also implemented professional skills training in the IT Bachelor program to help our students develop towards successful and highly demanded IT engineers. However, these courses consistently score low in our student satisfaction surveys. To find the cause of this negative evaluation, we previously studied the motivation, attitude and anxiety of IT students towards learning soft, or professional, skills. This former quantitative study indicates that our IT students tend to have a positive motivation and attitude toward learning professional skills, while ’anxiety’ in learning professional skills increases from the first to the third year. In this qualitative study, we try to find causes for the increasing anxiety among IT students. We interviewed six third and fourth year IT students and after analysing these interviews we found that these students have experienced the need for professional skills during their internship. Besides, they emphasize the need of obtaining these skills for future employment. From the analysis of the interviews, it also appears that IT students rather felt difficulty in obtaining communication skills then anxiety. A possible cause for this difficulty mentioned by students was the character of students and the influence of the teacher. To overcome this difficulty obtaining communication skills, students suggested that training skills in an authentic engineering situation is more effective than doing exercises with simulated cases. However, the results of this study did not yield a conclusive insight in the cause of increased anxiety, hence further research is needed.
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Mentor teachers need a versatile supervisory skills repertoire. Besides taking the prevalent role of daily advisor and instructor, mentor teachers should also be able to stimulate reflection in student teachers. Video recordings were analyzed of 60 mentoring dialogues, both before and after a mentor teacher training aiming at developing the encourager role. Mentor teachers' repertoires of supervisory skills were found to consist of an average of seven supervisory skills. After training, a shift was observed in the frequencies and duration with which supervisory skills were used. Although considerable inter-individual variability existed between mentor teachers, training positively affected the use of supervisory skills for stimulating reflection in student teachers.
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The hard side in total quality management of measurement and data analysis can only be successful if it is replenished with the soft side, the people side. This conclusion has serious consequences for the education of professionals, especially managers. Managers should be trained in soft skills, trained in managing themselves and their relations with others. The recent research done by Meduprof-S focuses on the question which skills are needed and on the extent to which business schools quality standards consider soft skills to be important in the education of managers .
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Times a changing. Mangement roles change. Quailty managers more an more are change managers and need soft skills to perform well.
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