Currently, in China, improving the quality of teachers’ emotional labor has become an urgent need for most pre-kindergarten through 12th grade (p–12) schools because the new curriculum reform highlights the role of emotion in teaching. A total of 703 primary and high school teachers in Mainland China were investigated regarding their perceptions of school climate, emotional labor strategy and emotional exhaustion via questionnaires. The findings revealed that the teachers’ perceptions of the school climate negatively affected surface acting but positively affected deep acting. Surface acting positively predicted emotional exhaustion, and deep acting had no significant effect on emotional exhaustion. Moreover, emotional labor mediated the relationship between the teachers’ perceptions of the school climate and emotional exhaustion. Programs aimed at improving the school climate and the teachers’ use of appropriate emotional labor strategies should be implemented in schools in Mainland China.

Introduction: Some students in current society do not pursue careers related to their majors after graduation, which may be the result of low professional commitment of college students, and the teaching enthusiasm of college teachers presented in the classroom may influence students’ professional commitment. This study considered the effect of teacher enthusiasm on students’ emotional state of boredom during class and its effect on students’ engagement in learning. This correlational study aims to explore the relationship between perceived teacher enthusiasm and professional commitment as mediated by class-related boredom and learning engagement. Methods: This study is a correlational design and adopts regression analysis. The respondents were college students (n=358; 68% female, 22% male) of different grades and majors from universities in Wenzhou, China. Questionnaires about perceived teacher enthusiasm, professional commitment, class-related boredom and learning engagement were adopted to measure the study variables. Results: The results reveal that although there is no significant direct influence between perceived teacher enthusiasm and professional commitment, perceived teacher enthusiasm affects students’ professional commitment through students’ class-related boredom and learning engagement, and there is an indirect and statistically significant correlation between them. Conclusion: This study provides insight into the facilitative effect of teachers’ increased enthusiasm on students’ professional commitment and how this facilitative effect is triggered through the mediating role of class related boredom and learning engagement. Future research should explore the theoretical and teaching significance and how to guide and enhance students’ professional commitment.

Background: Overseas study trips can enhance healthcare students’ intercultural communication competence. An opportunity to immerse in the new culture enables them to develop their ability to offer services to people from different countries. However, the role that open-mindedness (i.e., a personality trait) can play in this process has not been explored. Methods: The present study adopted a mixed-method design to identify how open-mindedness trait affected this overseas learning process. Thirty-two undergraduate healthcare students in Australia took part in the study. Questionnaires, which measured socio-demographic information, intercultural communication competence and open-mindedness trait were administered to the participants before and after their overseas trip. Half of the participants (n = 16) were interviewed after the overseas trip. Results: The correlational analysis showed that the open-mindedness trait was correlated with cultural skills, a component of intercultural communication competence, but not significant with the other three components. Three themes emerging from the qualitative data indicated that the open-mindedness trait affected students’ cultural exposure. This trait enabled participants to be actively involved in the immersion in the local culture. They were willing to learn from peer fellows, and keen to embrace novel challenges. Conclusion: It is concluded that open-mindedness trait is vital for increasing cultural immersion, and hence promote intercultural communication skills.

The aim of the current study was to explore the stability of the mitigating effect of students’ perceived teacher enthusiasm on class-related boredom and the moderating role of boredom proneness and perceived task difficulty in such effect. A total of 984 students from five universities in China participated in the study. Questionnaires on class-related boredom, perceived teacher enthusiasm, boredom proneness, and perceived task difficulty were used to measure the respective variables. Results showed that boredom proneness and perceived task difficulty significantly moderated the relationship between perceived teacher enthusiasm and class-related boredom. Moreover, when considering perceived task difficulty, boredom proneness became silent in the moderating path between perceived teacher enthusiasm and class-related boredom. Even so, the mitigating effect of students’ perceived teacher enthusiasm on class-related boredom was stable in students with different levels of boredom proneness and perceived task difficulty. The implications for learning and teaching are discussed.

Introduction: Patriotism, a positive emotional attachment to one’s country, has been associated with prosocial behavior, social responsibility, and gratitude. It plays a crucial role in promoting social harmony and national development. However, the factors influencing patriotism and their mechanisms remain unclear. This research consists of two studies exploring the internal mechanisms that connect gratitude and patriotism.Methods: Study 1 conducted a cross-sectional analysis among 3,826 college students to investigate the influence of gratitude on patriotism, emphasizing the mediating role of general life satisfaction and the moderating impact of socioeconomic status. This approach aimed to elucidate the complex relationships between these variables within college students. Study 2 adopted a longitudinal approach, surveying 905 college students across three-time points. This study was designed to explore the temporal mediation of general life satisfaction in the gratitude-patriotism relationship, offering insights into the evolution of these constructs over time. The sequential surveys aimed to capture the dynamic nature of gratitude’s impact on patriotism, considering the continuous interplay with general life satisfaction among college students.Results: Study 1 reveals a noteworthy finding: Gratitude enables the direct prediction of patriotism, while additionally, general life satisfaction plays a role between them. Furthermore, the predictive effect of gratitude on patriotism is strengthened among individuals with higher levels of socioeconomic status. However, there is no significant moderating effect between general life satisfaction and patriotism by socioeconomic status. Study 2 demonstrates that general life satisfaction plays a significant mediating role in the relationship between gratitude and patriotism, over a period of three times. However, the moderating influence of socioeconomic status was not substantiated in the longitudinal mediation model.Conclusion: These two studies shed light on the complex relationship between gratitude and patriotism. They emphasize the significance of gratitude, general life satisfaction, and socioeconomic status in shaping patriotism, offering potential avenues for understanding the internal mechanisms that influence patriotism.

Graph Neural Networks (GNNs) have emerged as a prominent research topic in the field of machine learning. Existing GNN models are commonly categorized into two types: spectral GNNs, which are designed based on polynomial graph filters, and spatial GNNs, which utilize a message-passing scheme as the foundation of the model. For the expressive power and universality of spectral GNNs, a natural approach is to improve the design of basis functions for better approximation ability. As for spatial GNNs, models like Graph Isomorphism Networks (GIN) analyze their expressive power based on Graph Isomorphism Tests. Recently, there have been attempts to establish connections between spatial GNNs and geometric concepts like curvature and cellular sheaves, as well as physical phenomena like oscillators. However, despite the recent progress, there is still a lack of comprehensive analysis regarding the universality of spatial GNNs from the perspectives of geometry and physics. In this paper, we propose MetricGNN (MGNN), a spatial GNN model inspired by the congruent-insensitivity property of classifiers in the classification phase of GNNs. We demonstrate that a GNN model is universal in the spatial domain if it can generate embedding matrices that are congruent to any given embedding matrix. This property is closely related to the Distance Geometry Problem (DGP). Since DGP is an NP-Hard combinatorial optimization problem, we propose optimizing an energy function derived from spring networks and the Multi-Dimensional Scaling (MDS) problem. This approach also allows our model to handle both homophilic and heterophilic graphs. Finally, we propose employing the iteration method to optimize our energy function. We extensively evaluate the effectiveness of our model through experiments conducted on both synthetic and real-world datasets. Our code is available at: https://github.com/GuanyuCui/MGNN.