The aim of this study was to develop a valid instrument to measure student nurses’ perceptions of community care (SCOPE). DeVellis’ staged model for instrument development and validation was used. Scale construction of SCOPE was based on existing literature. Evaluation of its psychometric properties included exploratory factor analysis and reliability analysis. After pilot-testing, 1062 bachelor nursing students from six institutions in the Netherlands (response rate 81%) took part in the study. SCOPE is a 35-item scale containing: background variables, 11 measuring the affective component, 5 measuring community care perception as a placement, 17 as a future profession, and 2 on the reasons underlying student preference. Principal axis factoring yielded two factors in the affective component scale reflecting ‘enjoyment’ and ‘utility’, two in the placement scale reflecting ‘learning possibilities’ and ‘personal satisfaction’, and four in the profession scale: ‘professional development’, ‘collaboration’, ‘caregiving’, and ‘complexity and workload’. Cronbach’s α of the complete scale was .892 and of the subscales .862, .696, and .810 respectively. SCOPE is a psychometrically sound instrument for measuring students’ perceptions of community care. By determining these perceptions, it becomes possible to positively influence them with targeted curriculum redesign, eventually contributing to decreasing the workforce shortage in community nursing.
The aim of this study was to develop a valid instrument to measure student nurses’ perceptions of community care (SCOPE). DeVellis’ staged model for instrument development and validation was used. Scale construction of SCOPE was based on existing literature. Evaluation of its psychometric properties included exploratory factor analysis and reliability analysis. After pilot-testing, 1062 bachelor nursing students from six institutions in the Netherlands (response rate 81%) took part in the study. SCOPE is a 35-item scale containing: background variables, 11 measuring the affective component, 5 measuring community care perception as a placement, 17 as a future profession, and 2 on the reasons underlying student preference. Principal axis factoring yielded two factors in the affective component scale reflecting ‘enjoyment’ and ‘utility’, two in the placement scale reflecting ‘learning possibilities’ and ‘personal satisfaction’, and four in the profession scale: ‘professional development’, ‘collaboration’, ‘caregiving’, and ‘complexity and workload’. Cronbach’s α of the complete scale was .892 and of the subscales .862, .696, and .810 respectively. SCOPE is a psychometrically sound instrument for measuring students’ perceptions of community care. By determining these perceptions, it becomes possible to positively influence them with targeted curriculum redesign, eventually contributing to decreasing the workforce shortage in community nursing.
There are over 1400 age-friendly cities and communities worldwide, and the efforts to create a better quality of life for older people progressively intersect with sustainability goals. The intentions and behaviours concerning sustainability among older are, however, not yet well understood. Therefore, there is a need for assessing these intentions and behaviours through the use of a transparently constructed and validated instrument which can be used to measures the construct of environmental sustainability among older people. The aim of this study is to develop a questionnaire measuring how older people view the theme of environmental sustainability in their daily lives, with a focus on the built environment, providing full transparency and reproducibility. The process of development and validation of the SustainABLE-16 Questionnaire followed the COSMIN protocol, and has been conducted in five phases. This rigorous process has resulted in a valid, psychometrically sound, comprehensive 16-item questionnaire. This instrument can be applied to assess older people's beliefs, behaviours and financial aspects regarding environmental sustainability in their lives. The SustainABLE-16 Questionnaire was created in Dutch and in British English.
MULTIFILE
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.
The European creative visual industry is undergoing rapid technological development, demanding solid initiatives to maintain a competitive position in the marketplace. AVENUE, a pan-European network of Centres of Vocational Excellence, addresses this need through a collaboration of five independent significant ecosystems, each with a smart specialisation. AVENUE will conduct qualified industry-relevant research to assess, analyse, and conclude on the immediate need for professional training and educational development. The primary objective of AVENUE is to present opportunities for immediate professional and vocational training, while innovating teaching and learning methods in formal education, to empower students and professionals in content creation, entrepreneurship, and innovation, while supporting sustainability and healthy working environments. AVENUE will result in a systematised upgrade of workforce to address the demand for new skills arising from rapid technological development. Additionally, it will transform the formal education within the five participating VETs, making them able to transition from traditional artistic education to delivering skills, mindsets and technological competencies demanded by a commercial market. AVENUE facilitates mobility, networking and introduces a wide range of training formats that enable effective training within and across the five ecosystems. A significant portion of the online training is Open Access, allowing professionals from across Europe to upgrade their skills in various processes and disciplines. The result of AVENUE will be a deep-rooted partnership between five strong ecosystems, collaborating to elevate the European industry. More than 2000 professionals, employees, students, and young talents will benefit from relevant and immediate upgrading of competencies and skills, ensuring that the five European ecosystems remain at the forefront of innovation and competitiveness in the creative visual industry.
• Alliances for Innovation will be anchored in strategic and sustainable cooperation among vocational education and training (VET), higher education (HE) and enterprises working together to boost the innovation capacity of Europe. They will considerably strengthen the synergies between both educational fields in fostering innovation, new skills, a sense of initiative and entrepreneurial mind-sets. The Alliances for Innovation will focus on the need of citizens and accelerate the modernization of HE and VET. • The Alliances will help to implement the EU Communication on the Renewed Agenda for Higher Education and contribute to the creation of a European Education Area. The Alliances for Innovation will also take into account the Agenda 2030 Sustainable Development Goals.
