Dit rapport beschrijft de achtergrond en bevindingen van een studie naar de bijdrage van job crafting aan duurzame inzetbaarheid. Job crafting gaat uit van het principe dat werknemers zelf bewust (en soms minder bewust) aanpassingen doen aan de taakinhoud en –uitvoering, zodat het werk beter aansluit bij veranderende behoeftes, sterktes en (cognitieve of fysieke) vermogens. In het kader van een TNO-onderzoeksprogramma1 gericht op de bevordering van duurzame inzetbaarheid onder oudere werknemers in de context van lagergeschoold werk zijn de mogelijkheden van job crafting binnen 3 pilotorganisaties verkend.
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Just what and how eight experienced teachers in four coaching dyads learned during a 1-year reciprocal peer coaching trajectory was examined in the present study. The learning processes were mapped by providing a detailed description of reported learning activities, reported learning outcomes, and the relations between these two. The sequences of learning activities associated with a particular type of learning outcome were next selected, coded, and analyzed using a variety of quantitative methods. The different activity sequences undertaken by the teachers during a reciprocal peer coaching trajectory were found to trigger different aspects of their professional development.
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Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software engineer. In this study we explore, based on job ads, the requirements from the job market for the position of AI engineer in The Netherlands. We retrieved job ad data between April 2018 and April 2021 from a large job ad database, Jobfeed from TextKernel. The job ads were selected with a process similar to the selection of primary studies in a literature review. We characterize the 367 resulting job ads based on meta-data such as publication date, industry/sector, educational background and job titles. To answer our research questions we have further coded 125 job ads manually. The job tasks of AI engineers are concentrated in five categories: business understanding, data engineering, modeling, software development and operations engineering. Companies ask for AI engineers with different profiles: 1) data science engineer with focus on modeling, 2) AI software engineer with focus on software development , 3) generalist AI engineer with focus on both models and software. Furthermore, we present the tools and technologies mentioned in the selected job ads, and the soft skills. Our research helps to understand the expectations companies have for professionals building AI-enabled systems. Understanding these expectations is crucial both for prospective AI engineers and educational institutions in charge of training those prospective engineers. Our research also helps to better define the profession of AI engineering. We do this by proposing an extended AI engineering life-cycle that includes a business understanding phase.
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Dit Professional Doctorate-traject zal zich richten op het doorontwikkelen van de sociaal werk interventie vangnetwerken, een interventie die is beschreven en onderzocht, op vier door de praktijk gearticuleerde issues : ● Methodische verdieping ● Samenwerking tussen GGZ en sociaal werk ● De rol van ‘coaching on the job’ bij het aanleren van de methode ● Duurzame financiering van sociaal werk interventies. De betrokken werkveldorganisatie is welzijnsorganisatie ContourdeTwern. Deze organisatie wil gedurende het traject 4 bestaande vangnetwerken doorontwikkelen en 2 nieuw op te zetten. Binnen het traject wordt gebruik gemaakt van participatieve methoden, zoals participatief actie-onderzoek en professional development. De activiteiten binnen het traject zijn in de eerste plaats gericht op lokale praktijkversterking. In de tweede plaats worden ervaringen die in het traject worden opgedaan verbreed naar andere interventies voor de doelgroep. Ten derde worden de ervaringen in het traject benut om landelijk te agenderen. Tot slot levert het traject een bijdrage aan kennisontwikkeling voor het sociaal werk.
The German-Dutch project "Young Maritime Talents" aims to inspire young people for the maritime industry and prepare them for the professional demands of the future. The goal of the consortium, consisting of ten partners and numerous associated partners on both sides of the border, is to develop strategies and measures to attract, develop, and retain young talent in the industry. This will be achieved in particular by strengthening maritime career orientation, actively facilitating suitable practical contacts, and promoting relevant future skills. The broad spectrum of perspectives and competencies of the project partners offers great potential for this. The participation of innovative companies from shipping, shipbuilding, and the port and offshore industries ensures comprehensive industry coverage.The project is aimed at all stakeholders in the field of (pre-) professional orientation and the career entry phase, i.e., from school through training or university studies to the company: from Young Maritime Talent to Young Maritime Professional.The core content of the project is a cross-border structural analysis of career orientation and the transition from school to work, as well as the development of a matching system to precisely match prospective career seekers with opportunities offered by maritime employers. Furthermore, target group-specific materials and formats are being developed to support schools and maritime companies in implementing practical programs for students and career starters. These include simulation games and various events for exchange and mutual coaching among the participating stakeholders. With these measures, the project contributes to making the maritime labour market in the German-Dutch border region more effective, inclusive, and sustainable, and to improving access to high-quality training and jobs.
