Purpose: Literature detailing the effectiveness of school-based physical activity promotion in- terventions in prevocational adolescents was reviewed to identify effective intervention characteristics.Methods: The search strategy assessed studies against inclusion criteria study design, study population, school setting, language, and construct. The risk of bias of the included studies was assessed, and extractions were made of the physical activity (PA) level outcome measures and intervention characteristics regarding organizational, social, and content features. A meta-analysis was conducted to determine the overall effect of the interventions on the PA level. Identification of effective intervention characteristics was done by subgroup analyses. Meta-regression analysis was performed with PA level as dependent variable and intervention characteristics as covariates. Results: A total of 40 eligible studies was included for meta-analyses. Among the included studies, the overall intervention effect on increasing the PA level of prevocational adolescents was weak (standardized mean difference [SMD] .19, 95% confidence interval [CI] .12e.27). Intervention characteristics that improve the effect size to a moderate level were intracurricular PA (SMD .43, 95% CI .19e.68), involving school staff in an intracurricular intervention (SMD .37, 95% CI .16e.58) and a tailored intracurricular intervention (SMD .35, 95% CI .13e.58). Meta-regression analysis confirmed PA as a positive predictor.Conclusions: The effect of a school-based PA intervention was small to moderate. A sensible choice in the assembly of a multicomponent school-based PA intervention increases the effectiveness considerably. Physical education teachers, school administrators, and policy makers should consider organizational (intracurriculum, short and medium duration), personal (tailoring, participation), social (school staff) and content (PA) determinants.
UNLABELLED: Public library makerspaces intend to contribute to the development of children from marginalized communities through the education of digital technology and creativity and by stimulating young people to experience new social roles and develop their identity. Learning in these informal settings puts demands on the organization of the makerspace, the activities, and the support of the children. The present study investigates how children evaluate their activities and experiences in a public library makerspace both in the after-school programs and during school visits. Furthermore, it examines the effectiveness of the training program for the makerspace coaches. The study covers self-evaluations by children ( n = 307), and interviews with children ( n = 27) and makerspace coaches ( n = 11). Children report a lot of experiences concerning creating (maker skills, creativity) and maker mindset (motivation, persistence, confidence). Experiences with collaboration (helping each other) were mentioned to a lesser extent. Critical features of the training program for makerspace coaches were (i) adaptation to the prior knowledge, skills and needs of makerspace coaches, (ii) input of expert maker educators, (iii) emphasis on learning by doing, (iv) room for self-employed learning, and (v) collaboration with colleagues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41979-022-00070-w.
The central aim of this thesis was to increase understanding of designing vocational learning environments at the school–work boundary. Four studies were conducted, focusing on learning environment designs at the school–work boundary and on design considerations of the actors involved in their construction, both from the world of school and the world of work.
In 2021, Citython editions were held for the European cities of Eindhoven (Netherlands), Bilbao and Barcelona (Spain), Hamburg (Germany), and Lublin (Poland). Within this project, BUAS contributed to the organization of CITYTHON Eindhoven in cooperation with CARNET (an initiative by CIT UPC) and City of Eindhoven – an event which gives young talent the opportunity to work with mentors and experts for the development of innovative urban solutions. Participants of CITYTHON Eindhoven worked on three challenges:- Traffic safety in school zones - Travel to the campus- Make the city healthy The event took place between 18 May and 2 June 2021 with various experts, for example from ASML, City of Eindhoven and University of Amsterdam, giving inspirational talks and mentoring students throughout the ideation and solutions development process. The teams presented their solutions during the Dutch Technology Week and the winners were announced by Monique List-de Roos (Alderman Mobility and Transport, City of Eindhoven) on 2 June 2021. The role of BUAS within this project was to assist City of Eindhoven with the development of the challenges to be tackled by the participating teams, and find relevant speakers and mentors who would be supporting the students for the development of their solutions and jury members who would determine the winning teams. The project ended with a round table “Green and Safe Mobility for all: 5 Smart City(thon) Case studies” on November 17 organized as part of Smart City Expo World Congress 2021 in Barcelona. This project is funded by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more livable. Learn more: eiturbanmobility.eu.Collaborating partnersCARNET (Lead organisation); Barcelona Institute of Technology for Habitat; Barcelona City Council; Bilbao City Hall; City of Hamburg; City of Eindhoven,; City of Lublin; Digital Hub Logistics Hamburg; Technical University of Catalonia, Tecnalia; UPC Technology Center.
The SPRONG-collaboration “Collective process development for an innovative chemical industry” (CONNECT) aims to accelerate the chemical industry’s climate/sustainability transition by process development of innovative chemical processes. The CONNECT SPRONG-group integrates the expertise of the research groups “Material Sciences” (Zuyd Hogeschool), “Making Industry Sustainable” (Hogeschool Rotterdam), “Innovative Testing in Life Sciences & Chemistry” and “Circular Water” (both Hogeschool Utrecht) and affiliated knowledge centres (Centres of Expertise CHILL [affiliated to Zuyd] and HRTech, and Utrecht Science Park InnovationLab). The combined CONNECT-expertise generates critical mass to facilitate process development of necessary energy-/material-efficient processes for the 2050 goals of the Knowledge and Innovation Agenda (KIA) Climate and Energy (mission C) using Chemical Key Technologies. CONNECT focuses on process development/chemical engineering. We will collaborate with SPRONG-groups centred on chemistry and other non-SPRONG initiatives. The CONNECT-consortium will generate a Learning Community of the core group (universities of applied science and knowledge centres), companies (high-tech equipment, engineering and chemical end-users), secondary vocational training, universities, sustainability institutes and regional network organizations that will facilitate research, demand articulation and professionalization of students and professionals. In the CONNECT-trajectory, four field labs will be integrated and strengthened with necessary coordination, organisation, expertise and equipment to facilitate chemical innovations to bridge the innovation valley-of-death between feasibility studies and high technology-readiness-level pilot plant infrastructure. The CONNECT-field labs will combine experimental and theoretical approaches to generate high-quality data that can be used for modelling and predict the impact of flow chemical technologies. The CONNECT-trajectory will optimize research quality systems (e.g. PDCA, data management, impact). At the end of the CONNECT-trajectory, the SPRONG-group will have become the process development/chemical engineering SPRONG-group in the Netherlands. We can then meaningfully contribute to further integrate the (inter)national research ecosystem to valorise innovative chemical processes for the KIA Climate and Energy.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
