In order to study education and development, researchers can choose among a plethora of methods. The Merriam-Webster dictionary tells us that “method” means: a procedure or process for attaining an object …such as …a systematic procedure, technique, or mode of inquiry employed by or proper to a particular discipline or art “ or “a way, technique, or process of or for doing something”, or “a body of skills or techniques”. Methods proper to the scientific study of education and development cover a very broad range of procedures, ranging from how to formulate and ask questions, how to design studies for answering such questions, how to perform such studies in real-world contexts, how to extract data and how to process them, how to relate processed data to answers on questions, how to communicate such questions and answers, and how to apply them to real world activities aimed at promoting education and development. This body of methods is customarily termed “methodology”, which is a concept that includes the methods themselves but also our understanding of their relationships and their rational and scientific justification. Let us call this body of methods and the justifications “Integrative methodology”. Researchers often tend to see this integrative methodology as a more or less autonomous set of good practice prescriptions. This view is consistent with practices of academic training in which methodology courses are offered separate from courses on disciplinarian contents, e.g. courses on development or educational science. As a consequence of this autonomy oriented view of methodology, scientific questions regarding development and education tend to be framed in terms of the available or habitual methods. For instance, we readily transform or translate concrete questions about the influence of some particular educational intervention in terms of a statistically significant difference between 2 representative samples that systematically differ in only one variable or feature of interest, which, in this case, is the intervention. Almost every word in this translation carries the heavy burden of methodological principles, concepts and presuppositions: “statistically”, “significant”, “difference”, “representative”, “sample”, “systematically”, “variable”, and “intervention”. And all these principles, concepts and presuppositions are taken from this autonomous body of integrative methodology, which forms our indisputable cookbook of good practices, outside of which no good — scientific — practices exist. The answers to questions that are shaped by this independent body of methodology will then contribute to existing theories of development and education. In this sense, it is the (allegedly) independent methodology that informs theory.In this chapter, we will move against this current practice and make the — apparently deeply obvious — claim that it must be theory that informs the questions and the way we shall answer these questions. That is, it must be theory – that is, your body of justified knowledge about a particular phenomenon – that informs, influences and determines methodology, that is, the whole of methods, procedures and instruments that you use to study that phenomenon. . The sort of theory that should inform integrative methodology must be an integrative theory, that is to say a theory consisting of a consistent set of general principles and concepts shaping the domains of inquiry, which in this particular case are the related domains of development and education
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Energy Valley cluster and internationalisation.There is a need for more dynamic approaches to strategy development for clusters due to the complex internal and external environments that are part of clusters. The research introduced complex adaptive systems (CAS) approach to cluster theory where contextual analysis of clusters are an essential part of understanding cluster development. In-depth analyses of cluster dynamics and drivers of change in the context of the cluster would provide deeper understanding of cluster developments that will then feed into strategy development processes.
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In the wake of neo-liberal informed global trends to set performance standards and intensify accountability, the Dutch government aimed for ‘raising standards for basic skills’. While the implementation of literacy standards was hardly noticed, the introduction of numeracy standards caused a major backlash in secondary schools, which ended in a failed introduction of a high stakes test. How can these major differences be explained? Inspired by Foucault’s governmentality concept a theoretical framework is developed to allow for detailed empirical research on steering processes in complex systems in which many actors are involved in educational decision-making. A mixed-methods multiple embedded case-study was conducted comprising nine school boards and fifteen secondary schools. Analyses unveil processes of responsibilisation, normalisation and emerging dividing practices. Literacy standards reinforced responsibilities of Dutch language teachers; for numeracy, school leadership created entirely new roles and responsibilities for teachers. Literacy standards were incorporated in an already used instrument which made implementation both subtle and inevitable. For numeracy, schools distinguished students by risk of not passing the new test affirming the disciplinary nature of schools in the process. While little changed to address teachers main concerns about students’ literacy skills, the failed introduction of the numeracy test usurped most resources.
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Essay over een visie op leerecosystemen vanuit de complexe dynamische systeemtheorie.
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The Heating Ventilation and Air Conditioning (HVAC) sector is responsible for a large part of the total worldwide energy consumption, a significant part of which is caused by incorrect operation of controls and maintenance. HVAC systems are becoming increasingly complex, especially due to multi-commodity energy sources, and as a result, the chance of failures in systems and controls will increase. Therefore, systems that diagnose energy performance are of paramount importance. However, despite much research on Fault Detection and Diagnosis (FDD) methods for HVAC systems, they are rarely applied. One major reason is that proposed methods are different from the approaches taken by HVAC designers who employ process and instrumentation diagrams (P&IDs). This led to the following main research question: Which FDD architecture is suitable for HVAC systems in general to support the set up and implementation of FDD methods, including energy performance diagnosis? First, an energy performance FDD architecture based on information embedded in P&IDs was elaborated. The new FDD method, called the 4S3F method, combines systems theory with data analysis. In the 4S3F method, the detection and diagnosis phases are separated. The symptoms and faults are classified into 4 types of symptoms (deviations from balance equations, operating states (OS) and energy performance (EP), and additional information) and 3 types of faults (component, control and model faults). Second, the 4S3F method has been tested in four case studies. In the first case study, the symptom detection part was tested using historical Building Management System (BMS) data for a whole year: the combined heat and power plant of the THUAS (The Hague University of Applied Sciences) building in Delft, including an aquifer thermal energy storage (ATES) system, a heat pump, a gas boiler and hot and cold water hydronic systems. This case study showed that balance, EP and OS symptoms can be extracted from the P&ID and the presence of symptoms detected. In the second case study, a proof of principle of the fault diagnosis part of the 4S3F method was successfully performed on the same HVAC system extracting possible component and control faults from the P&ID. A Bayesian Network diagnostic, which mimics the way of diagnosis by HVAC engineers, was applied to identify the probability of all possible faults by interpreting the symptoms. The diagnostic Bayesian network (DBN) was set up in accordance with the P&ID, i.e., with the same structure. Energy savings from fault corrections were estimated to be up to 25% of the primary energy consumption, while the HVAC system was initially considered to have an excellent performance. In the third case study, a demand-driven ventilation system (DCV) was analysed. The analysis showed that the 4S3F method works also to identify faults on an air ventilation system.
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Lectorale rede van Dave van Kann gehouden ter gelegenheid van zijn inauguratie als lector ‘Leren Bewegen in en rondom de School’ bij Lectoraat Move to Be van Fontys Sporthogeschool. Dave geeft in zijn rede aan op welke directe thematische focus hij zich in het bijzonder zal gaan richten in zijn lectorschap (de themalijnen Leren Bewegen en Beweegvriendelijke Omgeving). In lijn met de lectoraatsprojecten en -ambities geeft Dave zijn zienswijze op de thematiek ‘Leren Bewegen in en rondom de School’ weer en houd hij een pleidooi om in gezamenlijkheid met alle betrokkenen de komende jaren te werken aan een actieve generatie waarin bewegen meer vanzelfsprekend is en voor iedereen mogelijk.
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What drivers of change and cluster dynamics, in particular for energy clusters, are significant to cluster development and what revision might be needed for cluster theory?
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Lectorale rede
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Expectations are high for digital technologies to address sustainability related challenges. While research into such applications and the twin transformation is growing rapidly, insights in the actual daily practices of digital sustainability within organizations is lacking. This is problematic as the contributions of digital tools to sustainability goals gain shape in organizational practices. To bridge this gap, we develop a theoretical perspective on digital sustainability practices based on practice theory, with an emphasis on the concept of sociomateriality. We argue that connecting meanings related to sustainability with digital technologies is essential to establish beneficial practices. Next, we contend that the meaning of sustainability is contextspecific, which calls for a local meaning making process. Based on our theoretical exploration we develop an empirical research agenda.
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In order for out-of-school science activities that take place during school hours but outside the school context to be successful, instructors must have sufficient pedagogical content knowledge (PCK) to guarantee high-quality teaching and learning. We argue that PCK is a quality of the instructor-pupil system that is constructed in real-time interaction. When PCK is evident in real-time interaction, we define it as Expressed Pedagogical Content Knowledge (EPCK). The aim of this study is to empirically explore whether EPCK shows a systematic pattern of variation, and if so whether the pattern occurs in recurrent and temporary stable attractor states as predicted in the complex dynamic systems theory. This study concerned nine out-of-school activities in which pupils of upper primary school classes participated. A multivariate coding scheme was used to capture EPCK in real time. A principal component analysis of the time series of all the variables reduced the number of dimensions. A cluster revealed general descriptions of the dimensions across all cases. Cluster analyses of individual cases divided the time series into sequences, revealing High-, Low- and Non-EPCK states. High-EPCK attractor states emerged at particular moments during activities, rather than being present all the time. Such High-EPCK attractor states were only found in a few cases, namely those where the pupils were prepared for the visit and the instructors were trained.
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