Review of 42 journal articles on learning environments at the school-work boundary.
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Hoofdstuk 2 uit Position paper Learning Communities van Netwerk learning Communities Grote maatschappelijke uitdagingen op het gebied van vergrijzing, duurzaamheid, digitalisering, segregatie en onderwijskwaliteit vragen om nieuwe manieren van werken, leren en innoveren. In toenemende mate wordt daarom ingezet op het bundelen van kennis en expertise van zowel publieke als private organisaties, die elkaar nodig hebben om te innoveren en complexe vraagstukken aan te pakken. Het concept ‘learning communities’ wordt gezien als dé oplossing om leren, werken en innoveren anders met elkaar te verbinden: collaboratief, co-creërend en contextrijk. Vanuit het Netwerk Learning Communities is een groep onafhankelijk onderzoekers van een groot aantal Nederlandse kennisinstellingen aan de slag gegaan met een kennissynthese rondom het concept ‘Learning Community’. Het Position paper is een eerste aanzet tot kennisbundeling. Een ‘levend document’ dat in de komende tijd verder aangevuld en verrijkt kan worden door onderzoekers, praktijkprofessionals en beleidsmakers.
Learning environment designs at the boundary of school and work can be characterised as integrative because they integrate features from the contexts of school and work. Many different manifestations of such integrative learning environments are found in current vocational education, both in senior secondary education and higher professional education. However, limited research has focused on how to design these learning environments and not much is known about their designable elements (i.e. the epistemic, spatial, instrumental, temporal and social elements that constitute the learning environments). The purpose of this study was to examine manifestations of two categories of integrative learning environment designs: designs based on incorporation; and designs based on hybridisation. Cross-case analysis of six cases in senior secondary vocational education and higher professional education in the Netherlands led to insights into the designable elements of both categories of designs. We report findings about the epistemic, spatial, instrumental, temporal and social elements of the studied cases. Specific characteristics of designs based on incorporation and designs based on hybridisation were identified and links between the designable elements became apparent, thus contributing to a deeper understanding of the design of learning environments that aim to connect the contexts of school and work.
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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.
The European creative visual industry is undergoing rapid technological development, demanding solid initiatives to maintain a competitive position in the marketplace. AVENUE, a pan-European network of Centres of Vocational Excellence, addresses this need through a collaboration of five independent significant ecosystems, each with a smart specialisation. AVENUE will conduct qualified industry-relevant research to assess, analyse, and conclude on the immediate need for professional training and educational development. The primary objective of AVENUE is to present opportunities for immediate professional and vocational training, while innovating teaching and learning methods in formal education, to empower students and professionals in content creation, entrepreneurship, and innovation, while supporting sustainability and healthy working environments. AVENUE will result in a systematised upgrade of workforce to address the demand for new skills arising from rapid technological development. Additionally, it will transform the formal education within the five participating VETs, making them able to transition from traditional artistic education to delivering skills, mindsets and technological competencies demanded by a commercial market. AVENUE facilitates mobility, networking and introduces a wide range of training formats that enable effective training within and across the five ecosystems. A significant portion of the online training is Open Access, allowing professionals from across Europe to upgrade their skills in various processes and disciplines. The result of AVENUE will be a deep-rooted partnership between five strong ecosystems, collaborating to elevate the European industry. More than 2000 professionals, employees, students, and young talents will benefit from relevant and immediate upgrading of competencies and skills, ensuring that the five European ecosystems remain at the forefront of innovation and competitiveness in the creative visual industry.
The utilization of drones in various industries, such as agriculture, infrastructure inspection, and surveillance, has significantly increased in recent years. However, navigating low-altitude environments poses a challenge due to potential collisions with “unseen” obstacles like power lines and poles, leading to safety concerns and equipment damage. Traditional obstacle avoidance systems often struggle with detecting thin and transparent obstacles, making them ill-suited for scenarios involving power lines, which are essential yet difficult to perceive visually. Together with partners that are active in logistics and safety and security domains, this project proposal aims at conducting feasibility study on advanced obstacle detection and avoidance system for low-flying drones. To that end, the main research question is, “How can AI-enabled, robust and module invisible obstacle avoidance technology can be developed for low-flying drones? During this feasibility study, cutting-edge sensor technologies, such as LiDAR, radar, camera and advanced machine learning algorithms will be investigated to what extent they can be used be to accurately detect “Not easily seen” obstacles in real-time. The successful conclusion of this project will lead to a bigger project that aims to contribute to the advancement of drone safety and operational capabilities in low-altitude environments, opening new possibilities for applications in industries where low-flying drones and obstacle avoidance are critical.
