Despite the flourishing of positive education, understanding of whether different character strengths have different predictive effects on academic achievement/ well-being and the mechanisms of actions between character strengths is limited. Specifically, this study adopted strength use as a mediator to understand well how character strength (assessed by caring, inquisitiveness, and self-control) is associated with students’ end-of-year academic achievements and well-being. Survey data from 349 adolescents from three different schools showed that three factors of character strengths have positive correlations with academic (...) achievements and well-being. Regression models indicated that inquisitiveness and self-control predicted academic achievements, while caring, inquisitiveness, and self-control predicted well-being, with the foremost as the strongest predictor. Mediation analyses indicated that (1) strengths use fully mediated the relationship between inquisitiveness, self-control, and academic achievements/well-being, while (2) caring had a direct effect on well-being. These findings provided possible explanations on how character strengths could affect students’ academic achievements or well-being and theoretical and empirical evidence for practices that aim to enhance students’ academic achievements and positive developments via interventions based on character strengths. (shrink)

This study adapted the Physical Disability Resilience Scale to Chinese conditions and evaluated the psychometric characteristics of the Chinese version in individuals with physical disability. A total of 438 individuals with physical disability were included in this study. The PDRS was translated to Chinese using a backward translation method. Construct validity, internal consistency reliability, and convergent validity were examined. Confirmatory factor analysis failed to replicate the original five-factor structure of the PDRS. After removing the Spirituality factor and an underperformed item, (...) exploratory factor analysis yielded four trait factors and a method-effect factor. A correlated trait–correlated method model that included the four trait factors and a method-effect factor reported better model fit than the four-factor model, which did not consider method effects. The four subscales of the revised PDRS showed adequate internal consistency. The convergent validity of the revised PDRS was established by the moderate-to-strong associations between its four subscales and theoretically related constructs. We conclude that the revised PDRS is a reliable and valid measure in assessing resilience among Chinese people with physical disability. (shrink)

Value co-creation goes through the stage of co-production, customer experience, service-dominant logic, and service ecosystem. The integration of science and technology has become a key factor to the process of VCC. The rise and application of artificial intelligence technology has added a new driving force to VCC and began to affect its original practical logic. Based on the consumer perspective, this study uses Q-methodology to measure consumer cognitive attitude toward the use of AI technology in VCC, aiming to explore the (...) key factors that affect VCC. The study found that content quality, information security, efficiency concern, and degree of manipulation have become the important concerns of consumers for VCC under AI integration. Moreover, their different statements have their specific focus and direction. The study demonstrates and analyzes the importance of the four factors and proposes the combination of human and non-human actors to shape the new model of VCC in the future, which is worth further deepening and exploring for academia and enterprises. (shrink)