This paper explores the application of Self-Concepts, a Semantic-Differential Scale-based methodology, to evaluate a Serious Game designed for cognitive impairment assessment using the MoCA test and augmented reality (AR) for mobility analysis. A case study involved seven elderly participants. Despite some challenges in navigating the AR environment and cognitive tests, self-concept evaluations consistently demonstrated high user expectations and positive experiences with the digital artifact. This study validates the process and highlights the potential of Self-Concepts in assessing product acceptance within user groups.
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Background: The aim of this study is to validate a newly developed nurses' self-efficacy sources inventory. We test the validity of a five-dimensional model of sources of self-efficacy, which we contrast with the traditional four-dimensional model based on Bandura's theoretical concepts. Methods: Confirmatory factor analysis was used in the development of the newly developed self-efficacy measure. Model fit was evaluated based upon commonly recommended goodness-of-fit indices, including the χ2 of the model fit, the Root Mean Square Error of approximation (RMSEA), the Tucker-Lewis Index (TLI), the Standardized Root Mean Square Residual (SRMR), and the Bayesian Information Criterion (BIC). Results: All 22 items of the newly developed five-factor sources of self-efficacy have high factor loadings (range .40-.80). Structural equation modeling showed that a five-factor model is favoured over the four-factor model. Conclusions and implications: Results of this study show that differentiation of the vicarious experience source into a peer- and expert based source reflects better how nursing students develop self-efficacy beliefs. This has implications for clinical learning environments: a better and differentiated use of self-efficacy sources can stimulate the professional development of nursing students.
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Organisations of land managers in landscape management face the challenge of combining the need to foster bonding social capital within their member groups with the need to develop bridging social capital with other stakeholders and linking social capital with public authorities. This paper compares the concepts of self-governing groups, boundary organisations and quangos, to analyse how agri-environmental collectives in the Netherlands navigate their identity in interactions with public authorities and manage potential trade-offs between different forms of social capital. It shows the paradoxical situation that these self-governing collectives have to adopt characteristics of public agencies, in order to meet the demands of the Dutch government and EU legislation, required to gain the trust of the authorities for more room for self-governance. The resulting ‘professionalization’ and enlargement of agri-environmental collectives is likely to reduce bonding social capital, which in turn is an important asset for effective landscape management. In order to prevent this counterproductive incentive of expecting self-governing groups to behave like public agencies, we recommend to nourish and protect the in-between identity of agri-environmental collectives, to acknowledge their variety, and to allow them to be self-governing groups as well as boundary organisations.
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