Aims. The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. Background. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. Method. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. Results. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. Conclusions. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. Relevance to clinical practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse–patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal).
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Worldwide, schools implement social-emotional learning programs to enhance students' social-emotional skills. Although parents play an essential role in teaching these skills, knowledge about their perspectives on social-emotional learning is limited. In providing insight into the perspectives of parents from adolescent students this paper adds to this knowledge. An explorative qualitative study was conducted to gain insight into parents' perspectives on adolescent social-emotional learning. A broadly used professional framework for social emotional learning was used as a frame of reference in interviews with parents from diverse backgrounds. Within and across case analyses were applied to analyze the interviews. A conceptual model of four social-emotional skills constructs considered crucial learning by parents emerged from the data: respectful behavior, cooperation, self-knowledge and self-reliance. Parents' language, interpretations and orderings of skills indicate that the model underlying these constructs differs from skills embedded in the professional framework.
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With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.
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Universal school-based social-emotional learning (SEL) programs target several social-emotional skills assuming a relationship between the skills and psychosocial health outcomes. However, greater insight into the relationship is required to clarify the skills that are most crucial to address. It will support the development and refinement of SEL programs. This study investigated (1) the relationship among the social-emotional skills, (2) the association between the skills and psychosocial health variables, and (3) the mediating effect of the skills on psychosocial variables. Results: There was a high degree of overlap between the five skills (self-awareness, social awareness, self-management, relationship skills, and responsible decision-making). The skills were univariately associated with emotional-behavioral difficulties and prosocial behavior. In the multivariate model, self-management most strongly correlated with emotional-behavioral difficulties and mediated the relationship between self-awareness and emotional-behavioral difficulties. Social awareness showed the highest correlation with prosocial behavior and mediated the relationship between prosocial behavior and three other skills: self-awareness, relationship skills, and responsible decision-making.
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In the book, 40 experts speak, who explain in clear language what AI is, and what questions, challenges and opportunities the technology brings.
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Social and Emotional Learning programs, designed to enhance adolescents’ social and emotional skills, are implemented in schools worldwide. One of these programs is Skills4Life (S4L), for students in Dutch secondary education. To strengthen this program and adapt it to students’ needs, we conducted an exploratory study on their perspectives on their own social-emotional development, focusing on low-achieving students in prevocational education. We interviewed eleven boys and eleven girls in five focus groups on (1) their general school life experiences, (2) their perceptions and experiences regarding interactions with peers, the problems they encountered in these interactions, and (3) the strategies and skills they used to solve these problems. Driven by findings in related studies initial thematic analyzes were extended using a three-step approach: an inductive, data-driven process of open coding; axial coding; and selective coding, using the social-emotional skills comprised in an often-used SEL framework as sensitizing concepts. Overall, students were satisfied with their relationships with classmates and teachers and their ability to manage their daily interaction struggles. Their reflections on their interactions indicate that the skills they preferred to use mirror the social-emotional skills taught in many school programs. However, they also indicated that they did not apply these skills in situations they experienced as unsafe and uncontrollable, e.g., bullying and harassment. The insights into adolescents’ social-emotional skills perceptions and the problems they encountered with peers at school presented here can contribute to customizing school-based skills enhancement programs to their needs. Teacher training is required to help teachers gain insight into students’ perspectives and to use this insight to implement SEL programs tailored to their needs.
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Knowledge of child development influences parental expectations of, and interactions with, children. Studies have shown that maternal knowledge supports cognitive and social–emotional development of young children and can have long-lasting benefits. Level of developmental knowledge of parents and grandparents has seldom been investigated on a population level. Our aim was to compare Canadian and Dutch samples of urban parents and grandparents in terms of normative knowledge of children’s cognitive and social–emotional development. Urban parents (n = 379) and grandparents (n = 174) from the province of Alberta, Canada (N = 553) and parents (n = 634) and grandparents (n = 96) of the city of The Hague in the Netherlands (N = 730) answered questions related to knowledge of cognitive and social–emotional development of young children, including topics such as “do children have stronger bonds with parents who stay at home instead of working outside the home?” and “do children learn more from hearing someone in the same room talk than hearing someone on TV?” Overall, the Canadian respondents were more likely to answer these questions correctly. In both samples, women were more likely than men to answer correctly. No significant relationship between age or role (parent or grandparent) and knowledge was identified, but there was a positive correlation between knowledge and level of education. Little is known about international differences in caregivers’ knowledge about normative child development. This study suggests that differences exist. Understanding differences between countries in parental knowledge may provide insight into cross-cultural variability in child behavioral and developmental outcomes. https://doi.org/10.1177/2158244018777027
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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. Het verslag is gepubliceerd onder de titel: Future skills of journalists and artificial intelligence in education
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This study explores if multiple alterations of the classrooms' indoor environmental conditions, which lead to environmental conditions meeting quality class A of Dutch guidelines, result in a positive effect on students' perceptions and performance. A field study, with a between-group experimental design, was conducted during the academic course in 2020–2021. First, the reverberation time (RT) was lowered in the intervention condition to 0.4 s (control condition 0.6 s). Next, the horizontal illuminance (HI) level was raised in the intervention condition to 750 lx (control condition 500 lx). Finally, the indoor air quality (IAQ) in both conditions was improved by increasing the ventilation rate, resulting in a reduction of carbon dioxide concentrations, as a proxy for IAQ, from ~1100 to <800 ppm. During seven campaigns, students' perceptions of indoor environmental quality, health, emotional status, cognitive performance, and quality of learning were measured at the end of each lecture using questionnaires. Furthermore, students' objective cognitive responses were measured with psychometric tests of neurobehavioural functions. Students' short-term academic performance was evaluated with a content-related test. From 201 students, 527 responses were collected. The results showed that the reduction of the RT positively influenced students' perceived cognitive performance. A reduced RT in combination with raised HI improved students' perceptions of the lighting environment, internal responses, and quality of learning. However, this experimental condition negatively influenced students' ability to solve problems, while students' content-related test scores were not influenced. This shows that although quality class A conditions for RT and HI improved students' perceptions, it did not influence their short-term academic performance. Furthermore, the benefits of reduced RT in combination with raised HI were not observed in improved IAQ conditions. Whether the sequential order of the experimental conditions is relevant in inducing these effects and/or whether improving two parameters is already beneficial, is unknown.
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More people voted in 2024 than any other year in human history, while often relying on the internet for political information. This combination resulted in critical challenges for democracy. To address these concerns, we designed an exhibition that applied interactive experiences to help visitors understand the impact of digitization on democracy. This late-breaking work addresses the research questions: 1) What do participants, exposed to playful interventions, think about these topics? and 2) How do people estimate their skills and knowledge about countering misinformation? We collected data in 5 countries through showcases held within weeks of relevant 2024 elections. During visits, participants completed a survey detailing their experiences and emotional responses. Participants expressed high levels of self-confidence regarding the detection of misinformation and spotting AI-generated content. This paper contributes to addressing digital literacy needs by fostering engaging interactions with AI and politically relevant issues surrounding campaigning and misinformation.
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