Het plan van aanpak gepresenteerd in deze handreiking is bedoeld als leidraad voor het ontwerpen, ontwikkelen, implementeren en evalueren van verschillende Learning Communities binnen het RAAK-5 project Het Nieuwe Telen: gas erop! Het is bedoeld om zowel inzichten als instrumenten te bieden aan coördinatoren en facilitatoren voor de implementatie van de lokale Learning Communities gedurende het project. Deze handreiking is een noodzakelijke aanvulling op het project vanwege de prominente rol van Learning Communities binnen het project, maar ook omdat er geen wetenschappelijk gebaseerde ontwerpprincipes voor LC’s te vinden zijn. Er zijn veel projecten die Learning Communities uitvoeren, maar een grondige zoektocht naar literatuur en internetbronnen resulteerde niet in ontwerpprincipes.
Torpedo is a digital learning environment for developing mathematical problem-solving ability through self-study for pre-service teachers in primary teacher education. To achieve this, Torpedo supports and challenges pre-service teachers’ reflection during and after solving non-routine mathematics problems. To investigate the feasibility of the Torpedo approach, 271 pre-service teachers used Torpedo during one month in a pilot study. They used and evaluated Torpedo’s reflective elements differently. The results varied from pre-service teachers who experienced that reflection really contributed to the development of their problem-solving ability, to pre-service teachers who hardly reflected. The last group consisted of those who found the problems too difficult to reflect upon and those who used Torpedo to prepare for the National Mathematics Test and preferred to do so by drill and practice. As a conclusion, the study provides clues for improving Torpedo so that it invites more reflective self-study behaviour. For pre-service teachers who consider reflection valueless, however, self-study in a digital learning environment may be insufficient to change this attitude.
This article focuses on which aspects of the learning environment, aimed at fostering career learning, correspond with the development of career competencies among students (aged 12-19 years) enrolled in prevocational and secondary vocational education in The Netherlands. Aspects of the learning environment that are taken into account here are the following: career orientation and guidance methods used, instruments implemented, and the degree to which the curriculum is practice-based and dialogical. In the study, three career competencies are identified: career reflection (reflective behaviour), career forming (proactive behaviour), and networking (interactive behaviour). To research the relationship between the learning environment and the presence of career competencies, a study was done among 3499 students and 166 teachers in 226 classes in 34 schools. The results show that career guidance in school, in which a dialogue takes place with the student about concrete experiences and which is focused on the future, contributes most to the presence of career competencies among students. Without this dialogue, career guidance methods and instruments barely contribute to the acquisition of career competencies.
MUSE supports the CIVITAS Community to increase its impact on urban mobility policy making and advance it to a higher level of knowledge, exchange, and sustainability.As the current Coordination and Support Action for the CIVITAS Initiative, MUSE primarily engages in support activities to boost the impact of CIVITAS Community activities on sustainable urban mobility policy. Its main objectives are to:- Act as a destination for knowledge developed by the CIVITAS Community over the past twenty years.- Expand and strengthen relationships between cities and stakeholders at all levels.- Support the enrichment of the wider urban mobility community by providing learning opportunities.Through these goals, the CIVITAS Initiative strives to support the mobility and transport goals of the European Commission, and in turn those in the European Green Deal.Breda University of Applied Sciences is the task leader of Task 7.3: Exploitation of the Mobility Educational Network and Task 7.4: Mobility Powered by Youth Facilitation.
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
The project’s aim is to foster resilient learning environments, lessen early school leaving, and give European children (ages 4 -6) a good start in their education while providing and advancing technical skills in working with technology that will serve them well in life. For this purpose, the partnership has developed age appropriate ICT animation tools and games - as well as pedagogical framework specific to the transition phase from kindergarten to school.
