This review aimed to map the clinical readiness of artificial intelligence investigations focused on preventive dentistry.
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The chapter discusses the effect of hierarchically staging common entrepreneurship pedagogies (from passive, instructor-led to active self-steering) in an undergraduate level venture creation programme on its participants perceived ‘readiness’ to take ownership over their learning. Education literature argues that existentially transforming pedagogy, much like that of student venture creation programmes (VCP), is not fit for all students, hence leading some to thrive, and others to fear failure. Data collected from a purposive homogeneous sample of 185 undergraduate students at a Dutch university, using reliable measures for self-efficacy and readiness for self-directed learning were analysed. The results of the mixed-methods study suggest that students gain self-efficacy (readiness) to independently take ownership of their learning process through a pedagogical approach that facilitates gradual competence development in each phase of the VCP. A teaching / learning framework is discussed that may help educators foster perceived task-readiness for the radically new learning activities that characterise VCP education.
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This project addresses the critical issue of staff shortages and training inefficiencies in the hospitality industry, particularly focusing on the hotel sector. It connects with the urgent need for innovative, and effective training solutions to equip (inexperienced) staff with hospitality skills, thereby improving service quality and sustainable career prospects in the hotel industry. The project develops and tests immersive technologies (augmented and virtual reality, AR/VR) tailored to meet specific training needs of hotels. Traditional training methods such as personal trainings, seminars, and written manuals are proving inadequate in terms of learning effectiveness and job readiness, leading to high working pressure and poor staff well-being. This project aims to break this cycle by co-creating immersive training methods that promise to be more engaging and effective. Hotelschool The Hague has initiated steps in this direction by exploring AR and VR technologies for hotel staff training. This project builds on these efforts, aiming to develop accessible, immersive training tools specifically designed for the hotel sector. Specifically, this project aims to explore the effectiveness of these immersive trainings, an aspect largely overlooked in the rapid development of immersive technology solutions. The central research question is: How do immersive AR and VR training methods impact job readiness and learning effectiveness in the hotel sector? The one-year KIEM project period involves co-creating, implementing, and evaluating immersive training in collaboration with Hotelschool The Hague and Hyatt Andaz Amsterdam Prinsengracht Hotel in real-life settings. The partnership with Warp Industries, a leader in immersive technology, is crucial for the project’s success. Our findings will be co-created and multiplied through relevant sector associations such as House of Hospitality. This project aligns with the MV’s Impact Level 1: Transitions by promoting innovative training strategies that can lead to a fundamental shift in the hospitality industry, thereby enhancing social earning capacities.
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.
Digitalisering en dataficering zijn belangrijke ontwikkelingen die zich in ons dagelijkse leven voltrekken. Bedrijven worden steeds afhankelijker van data waarop ze hun bedrijfsprocessen en verdienmodellen baseren. Maar in hoeverre is die data volledig en betrouwbaar? Dataketens vormen het digitale fundament voor datagedreven organisaties om optimale bedrijfsprocessen, producten of diensten (servitization) te kunnen realiseren. De praktijk laat echter zien dat nog veel organisaties vaak te snel stappen zetten naar het ontwikkelen en implementeren van op data gebaseerde digitale oplossingen, zonder dat het ‘datafundament’ daarvoor op orde is. Dat leidt tot onbetrouwbare data en suboptimale besluitvorming. Data-engineering en -management in dataketens (DEMAND) realiseert een onderzoeksinfrastructuur die nieuwe oplossingen ontwikkelt voor geïntegreerde en gevalideerde dataketens van overheden en bedrijven. Het consortium heeft de overall ambitie om een toolbox te ontwikkelen met nieuwe toepasbare digitale technologieën en methodologieën die bijdragen aan optimalisatie van dataketens in private en publieke organisaties. Hierbij staan datagerichte activiteiten in dataketens van organisaties centraal, met inbegrip van data-acquisitie en data-opslag, data-(pre)processing, data-exploratie, data-modeling en data-benutting. Deze zogenaamde Key Enabling Methodologies verbinden mens en maatschappij langs de lat van Technical Readiness Levels en Societal Readiness Levels, zij vegroten het (toekomstig) verdienvermogen van Nederland en dragen bij aan maatschappelijke opgaven. Het DEMAND-programma wordt uitgevoerd door HAN University of Applied Sciences (HAN), Saxion Hogeschool en Fontys Hogeschool en dertien consortiumpartners met bewezen technische en organisatorische kennis van dataketens. DEMAND fungeert als bruggenbouwer tussen enerzijds de onderzoekspraktijk met de onderwijspraktijk en anderzijds de onderzoekspraktijk met het werkveld. Een set van casussen, de learning communities, vormen de basis van de onderzoeksinfrastructuur waarin de SPRONG-groep in co-creatie en interdisciplinair samenwerkt. Het consortium intensiveert de bestaande casussen én ontwikkelt daarnaast nieuwe casussen in data-intensieve omgevingen in het private als ook het publieke domein. Dit leidt tot meervoudige waardecreatie en systemische veranderingen (impact).
