When studying the acquisition of social-communicative competence, it is important to take students' individual learning theories into account. Increased insight into the role ILTs play can be of help in improving social work education.
Educational programs teaching entrepreneurial behaviour and knowledge are crucial to a vital and healthy economy. The concept of building a Communities of Practice (CoP) could be very promising. CoP’s are formed by people who engage in a process of collective learning in a shared domain of human endeavour (Wenger, McDermott and Snyder, 2002). They consist of a group of people who share a concern or a passion for something they do and learn how to do it better as they interact regularly. Normally CoP’s are rather homogeneous. Saxion institute Small Business & Retail Management (SB&RM) started a CoP with entrepreneurs September 2007. Typical in the this community, are the differences between the partners. The Community consists of students, entrepreneurs and members of an institution for higher education. They have different characteristics and they don’t share the same knowledge. Thus, building long-lasting relations can be complicated. Solid relations for longer periods are nevertheless inevitable in using CoP as a mean in an educational concept that takes approximately 4 years. After one year an evaluation took place on the main aspects of a lasting partnership. The central problem SB&RM in Deventer faces is to design the CoP in a way possible members will join and stay for a longer period and in a way it ensures entrepreneurial learning. This means important design characteristics have to be identified, and the CoP in Deventer has to be evaluated to assess whether it meets those design characteristics in an effective and efficient way. The main target of the evaluation is to determine which key factors are important to make sure continuity in partnership is assured and entrepreneurial learning is best supported. To solve the problem, an investigation on how a CoP works, what group dynamics take place, and how this can be measured has to be conducted. Furthermoreusing the CoP as a tool for entrepreneurship means key aspects of entrepreneurial learning have to be identified. After that the CoP in Deventer has to be examined on both aspects. According to literature CoP’s define themselves along three dimensions: domain (indicating what is it about), community (defining how it functions), and practice (indicating what capabilities it has produced) (Wenger, 1998). This leads to meaningful, shared and coordinated activities (Akkerman et al, 2007): Key aspects of a successful CoP lie in both hard and soft sides of creating a partnership. It means on one hand a CoP has to deal with defining their own overall vision, formulating long term goals and targets on the short term. They have to formulate how to achieve those targets and create meaningful activities (reification). On the other hand a CoP has to deal with relations, trust, norms and values (participation). Reification and participation as design characteristic can provide indicators on which the CoP in Deventer can be evaluated. A lasting partnership means joining the CoP and staying. Weick provides us with a suitable model that enables us to do research and evaluate whether the CoP in Deventer is successful or not, Weick’s model of means convergence. To effectively ensure entrepreneurial learning the process in the CoP has to provide or enable actionoriented forms through Project-based activity, accompanied by reflection, with high emotional exposure (or cognitive affection) preferably caused by discontinuities to be suitable as a tool in entrepreneurial learning. Furthermore it should be accompanied by the right preconditions to work effectively and efficiently. The evaluation of the present CoP in Deventer is done by interviewing all participants at the end of the first year of the partnership. In a structured interview, based on literature studies, all participants were separately questioned
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Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. This paper describes the ex-post evaluation of a capability model for learning analytics via a mixed-method approach. The model intends to help practitioners such as program managers, policymakers, and senior management by providing them a comprehensive overview of necessary capabilities and their operationalization. Qualitative data were collected during pluralistic walk-throughs with 26 participants at five educational institutions and a group discussion with seven learning analytics experts. Quantitative data about the model’s perceived usefulness and ease-of-use was collected via a survey (n = 23). The study’s outcomes show that the model helps practitioners to plan learning analytics adoption at their higher educational institutions. The study also shows the applicability of pluralistic walk-throughs as a method for ex-post evaluation of Design Science Research artefacts.
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Middels een RAAK-impuls aanvraag wordt beoogd de vertraging van het RAAK-mkb project Praktische Predictie t.g.v. corona in te halen. In het project Praktische Predictie wordt een prototype app ontwikkeld waarmee fysiotherapeuten in een vroeg stadium het chronisch worden van lage rugpijn kunnen voorspellen. Om chronische rugpijn te voorkomen is het belangrijk om in een vroeg stadium de kans hierop in te schatten door psychosociale en mogelijk andere risicofactoren op chronische pijnklachten te herkennen en hierop te interveniëren. Fysiotherapeuten zijn met deze vraag naar het lectoraat Werkzame factoren in Fysiotherapie en Paramedisch Handelen van de Hogeschool van Arnhem en Nijmegen gegaan en dit heeft aanleiding gegeven een onderzoek op te zetten waarin een dergelijke methodiek ontwikkeld wordt. De voorgestelde methodiek betreft een Clinical Decision Support Tool waarmee een geïndividualiseerde kans op chronische rugpijn kan worden bepaald gekoppeld aan een behandeladvies conform de lage rugpijn richtlijn. Hiervoor is eerst geïnventariseerd welke methoden fysiotherapeuten reeds gebruiken en welke in de literatuur worden genoemd. Op basis hiervan is een keuze gemaakt ten aanzien van data die digitaal verzameld worden in minimaal 16 fysiotherapiepraktijken waarbij patiënten gedurende 12 weken gevolgd worden. Met de verzamelde data worden met machine learning algoritmes ontwikkeld voor het berekenen van de kans op chroniciteit. De algoritmes worden ingebouwd in de Clinical Decision Support Tool: een gebruiksvriendelijke prototype app. Bij het ontwikkelen van de tool worden eindgebruikers (fysiotherapeuten en patiënten) intensief betrokken. Op deze manier wordt gegarandeerd dat de tool aansluit bij de wensen en behoeften van de doelgroep. De tool berekent de kans op chroniciteit en geeft een behandeladvies. Daarnaast kan de tool gebruikt worden om patiënten te informeren en te betrekken bij de besluitvorming. Vanwege de coronacrisis is er een aanzienlijke vertraging in de patiënten-instroom (doel n= 300) ontstaan die we met ondersteuning van een RAAK-impuls subsidie willen inlopen.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
Denim Democracy from the Alliance for Responsible Denim (ARD) is an interactive exhibition that celebrates the journey and learning of ARD members, educates visitors about sustainable denim and highlights how companies collaborate together to achieve results. Through sight, sound and tactile sensations, the visitor experiences and fully engages sustainable denim production. The exhibition launches in October 2018 in Amsterdam and travels to key venues and locations in the Netherlands until April 2019. As consumers, we love denim but the denim industry, like other sub-sectors in the textile, apparel and footwear industries, faces many complex sustainability challenges and has been criticized for its polluting and hazardous production practices. The Alliance for Responsible Denim project brought leading denim brands, suppliers and stakeholders together to collectively address these issues and take initial steps towards improving the ecological sustainability impact of denim production. Sustainability challenges are considered very complex and economically undesirable for individual companies to address alone. In denim, small and medium sized denim firms face specific challenges, such as lower economies of scale and lower buying power to affect change in practices. There is great benefit in combining denim companies' resources and knowledge so that collective experimentation and learning can lift the sustainability standards of the industry and lead to the development of common standards and benchmarks on a scale that matters. If meaningful, transformative industrial change is to be made, then it calls for collaboration between denim industry stakeholders that goes beyond supplier-buyer relations and includes horizontal value chain collaboration of competing large and small denim brands. However collaboration between organizations, and especially between competitors, is highly complex and prone to failure. The research behind the Alliance for Responsible Denim project asked a central research question: how do competitors effectively collaborate together to create common, industry standards on resource use and benchmarks for improved ecological sustainability? To answer this question, we used a mixed-method, action research approach. The Alliance for Responsible Denim project mobilized and facilitated denim brands to collectively identify ways to reduce the use of water and chemicals in denim production and then aided them to implement these practices individually in their respective firms.
