Teacher shortages are a significant concern in many countries. Hiring pre-service teachers could help to alleviate this problem while providing students an opportunity to develop skills in a realwork context. However, being employed alongside full-time studying might compete with attendance or self-study and, thereby, hinder study progress. This study analyzed the effect of student employment on the study progress of 132 pre-service teachers, using 25 repeated measures over 4 years (n = 3,245). Employment hours, remuneration, domain-relevance, and timing (year of college) were taken into account. Multilevel growth analyses showed that students who spent more time on a paid teaching job in year 3 or 4 obtained significantly more study credits compared to those who were not paid or got paid for a job outside of education. Overall, student employment did not relate to less study progress and depending on domain-relevance, timing and remuneration, the effect can even be positive.
Een van de meest populaire modellen voor onderzoek naar welzijn, stress en bevlogenheid van medewerkers is het Job Demands-Resources model (JD-R model). Voor onderzoek naar het welzijn van studenten heeft het lectoraat Studiesucces het Student Wellbeing model ontwikkeld, een model gebaseerd op het JD-R model. Het Student Wellbeing model beschrijft net als het JD-R model een motivatieproces en een uitputtingsproces, maar dan van studenten. Het model veronderstelt dat de balans tussen positieve (energiebronnen) en negatieve (stressoren) kenmerken van ‘het student zijn/de studententijd’ invloed heeft op het welzijn van studenten en o.a. de studieprestaties kan beïnvloeden.
It is predicted that 5 million rural jobs will have disappeared before 2016. These changes do notonly concern farmers. In their decline all food chain related SMEs will be affected severely. Newbusiness opportunities can be found in short food supply chains. However, they can onlysucceed if handled professionally and on a proper scale. This presents opportunities on 4interconnected strands:Collect market relevant regional dataDevelop innovative specialisation strategies for SMEsForge new forms of regional cooperation and partnership based on common benefits andshared values.Acquire specific skillsREFRAME takes up these challenges. In a living lab of 5 regional pilots, partners willdemonstrate the Regional Food Frame (RFF) as an effective set of measures to scale up andaccommodate urban food demands and regional supplies. New data will reveal the regions’ ownstrengths and resources to match food demand and supply. REFRAME provides a supportinfrastructure for food related SMEs to develop and implement their smart specializationstrategies in food chains on the urban-rural axis. On their way towards a RFF, all pilots will use a5-step road map. A transnational learning lab will be set up in support of skill development andtraining of all stakeholders. REFRAME pools the know-how needed to set up these Regional FoodFrames in a transnational network of experts, each closely linked and footed in its own pilotregion.
