Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.AB - Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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Design, Design Thinking, and Co-design have gained global recognition as powerful approaches for innovation and transformation. These methodologies foster stakeholder engagement, empathy, and collective sense-making, and are increasingly applied to tackle complex societal and institutional challenges. However, despite their collaborative potential, many initiatives encounter resistance, participation fatigue, or only result in superficial change. A key reason lies in the overlooked undercurrent—the hidden systemic dynamics that shape transitions. This one-year exploratory research project, initiated by the Expertise Network Systemic Co-design (ESC), aims to make systemic work accessible to creative professionals and companies working in social and transition design. It focuses on the development of a Toolkit for Systemic Work, enabling professionals to recognize underlying patterns, power structures, and behavioral dynamics that can block or accelerate innovation. The research builds on the shared learning agenda of the ESC network, which brings together universities of applied sciences, design practitioners, and organizations such as the Design Thinkers Group, Mindpact, and Vonken van Vernieuwing. By integrating systemic insights—drawing from fields like systemic therapy, constellation work, and behavioral sciences—into co-design practices, the project strengthens the capacity to not only design solutions but also navigate the forces that shape sustainable change. The central research question is: How can we make systemic work accessible to creative professionals, to support its application in social and transition design? Through the development and testing of practical tools and methods, this project bridges the gap between academic insights and the concrete needs of practitioners. It contributes to the professionalization of design for social innovation by embedding systemic awareness and collective learning into design processes, offering a foundation for deeper impact in societal transitions.
E-cycling intelligence is a research project directly connected to the PhD-research of Joost de Kruijf at the Utrecht University. Within the program the effects of the introduction of e-bikes in daily commuting are being investigated. Using a large-scale incentive program targeting on behavioral change among car-oriented commuters the next four specific components are being :- Modal shift to e-cycling- Well-being and travel satisfaction of e-bikes vs. car- Weather circumstances and e-cycling- Behavioral intention to e-bike vs. actual behavior Using a combination of three surveys (baseline, one month and half a year) and continuous GPS-measurement on the behavior of more than 800 participants makes this research unique. In collaboration with the TU/e the GPS-dataset is being translated into relevant information on modal shift on different trip purposes offering a new range of possibilities to analyses behavioral change. Knowledge on every of the four topics in the project is translated scientific paper. The expected end of the project is July 2021.With the research not new insights are being gained, the Breda University of Applied Sciences also develops a scientific network of cycling related researchers together with a network of cycling engaged road authorities.
Our world is changing rapidly as a result of societal and technological developments that create new opportunities and challenges. Extended Realities (XR) could provide solutions for the problems the world is facing. In this project we apply these novel solutions in food and hospitality. It aims to tackle fundamental questions on how to stimulate a healthy and vital society that is based on a sustainable and innovative economy. This project aims to answer the question: How can Extended Reality (XR) technologies be integrated in the design of immersive food experiences to stimulate sustainable consumption behavior? A multidisciplinary approach, that has demonstrated its strength in the creative industry, will be applied in the hospitality and food sector. The project investigates implications and design considerations for immersion through XR technology that can stimulate sustainable consumption behavior. Based on XR prototypes, physiological data will be collected using biometric measuring devices in combination with self-reports. The effect of stimuli on sustainable consumption behavior during the immersive experience will be tested to introduce XR implementations that can motivate long-term behavioral change in food consumption. The results of the project contribute towards developing innovations in the hospitality sector that can tackle global societal challenges by exploiting the impact of new technology and understanding of consumer behavior to promote a healthy lifestyle and economy. Next to academic publications and conference contributions, the project will develop a handbook for hospitality professionals. It will outline steps and design criteria for the implementation of XR technologies to create immersive experiences that can stimulate sustainable consumption behavior. The knowledge generated in the project will contribute to the development of the curriculum at the Academy for Hotel and Facility at Breda University of Applied Sciences by introducing a technology-driven experience design approach for the course Sustainable Strategic Business Design.
