Academic engagement describes students’ involvement in academic learning and achievement. This paper reports the psychometric properties of the University Student Engagement Inventory (USEI) with a sample of 3992 university students from nine different countries and regions from Europe, North and South America, Africa, and Asia. The USEI operationalizes a trifactorial conceptualization of academic engagement (behavioral, emotional and cognitive). Construct validity was assessed by means of confirmatory factor analysis and reliability was assessed using Cronbach’s alpha and McDonald’s omega coefficients. Weak measurement (...) invariance was observed for country/region, while strong measurement invariance was observed for gender and area of graduation. The USEI scores showed predictive validity for dropout intention, self-rated academic performance, and course approval rate while divergent validity with student burnout scores was also evident. Overall, the results indicate that the USEI can produce reliable and valid data on academic engagement of university students across the world. (shrink)

This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. Different from the existing approaches that assign one solution to each agent, our approach allocates the closest solutions to each agent and thus the number of solutions in an agent may be zero and no less than one. Regarding the agent with no solution, it will be assigned one solution in priority, once offspring are generated (...) closest to its subproblem. To keep the same population size, the agent with the largest number of solutions will remove one solution showing the worst convergence. This improves diversity for one agent, while the convergence of other agents is not lowered. On the agent with no less than one solution, offspring assigned to this agent are only allowed to update its original solutions. Thus, the convergence of this agent is enhanced, while the diversity of other agents will not be affected. After a period of evolution, our approach may gradually reach a stable status for solution assignment; i.e., each agent is only assigned with one solution. When compared to six competitive multiobjective evolutionary algorithms with different population selection or update strategies, the experiments validated the advantages of our approach on tackling two sets of test problems. (shrink)

In this paper, we address the model of global attractor formulated in the form of evolution differential inclusions with second order in Banach spaces. Firstly, based on the fixed point theorem, the existence result of mild solutions is deduced. Then, by implementing the measure of noncompactness, the existence of global attractor associated with m -semiflow is validated. Finally, a concrete application of the main result is demonstrated to enhance the practical signification.

Driven by the cognitive-neoassociationistic model of aggression, this study examines how supervisors’ negative affect at work influences their interaction with subordinates, which further affects subordinate outcomes. Drawing upon research on power/resource interdependence and victim precipitation theory, we also test whether the positive relationship between supervisors’ negative affect and abusive supervision is moderated by leader–member exchange. Using one hundred and eighty supervisor–subordinate dyads from five hotels, we found that, supervisors’ negative affect at work was positively related to abusive supervision, LMX buffered (...) the positive association between supervisors’ negative affect and abusive supervision, and the indirect effects of supervisors’ negative affect on subordinate outcomes via abusive supervision was buffered by LMX, such that the indirect effects were only found in dyads with lower LMX, but not in dyads with higher LMX. Theoretical contributions and practical implications for managers and organizations were also discussed. (shrink)

Millennial employees are increasingly paying more attention to well-being in the workplace and it has become an important issue for managers. Given that millennial employees are more sensitive to ethical issues, this study began by analyzing an ethical element in the organization—the ethical climate—and explored whether millennial employees have higher affective well-being in organizations with a good ethical climate. We verified our hypotheses based on 288 valid questionnaires collected from 40 teams. The results showed that: ethical climate was a positive (...) predictor of millennial employees’ organizational citizenship behavior and affective well-being, employees’ OCB partially mediated the relationship between ethical climate and affective well-being, and an employee’s moral identity effectively moderated the relationship between ethical climate and affective well-being, although it did not play a significant moderating role between ethical climate and OCB. These findings provide empirical support for applying situational strength and social information processing theories and emphasize the importance of cultivating an ethical climate in organizations. (shrink)

Whereas past research on the trickle-down diffusion of abusive supervision has demonstrated that abused supervisors often translate the abuse that they experience from their managers downward to their followers, we examine the active involvement of abused supervisors through leading in a more principled and positive manner. Adopting the sociofunctional perspective on emotions, we propose that supervisors who feel contempt for their abusers and are morally attentive will be motivated to morally differentiate themselves from perpetrators by treating their subordinates with greater, (...) rather than less, interpersonal justice. Four studies, including two survey-based studies and two scenario-based experiments, based on data collected in China and the United Kingdom show consistent evidence supporting the overall moderated mediation model. Theoretical and practical implications are discussed. (shrink)

Background eHealth was widely used during the COVID-19 pandemic. Much attention was given to the technical aspects of eHealth, such as infrastructure and cost, while the soft skill of compassion remained underexplored. The wide belief in compassionate care is more compatible with in-person interactions but difficult to deliver via e-platforms where personal and environmental clues were lacking urges studying this topic. Purpose to explore the experience of delivering compassionate care via an eHealth platform among healthcare professionals working to contain the (...) COVID-19 pandemic. Methods A qualitative study design with an interpretative phenomenological analysis approach was used. Twenty healthcare professionals (fifteen nurses and five physicians) who provided care using technology platforms, such as telephone hotlines, mobile apps, and social media, were interviewed individually. Ethical considerations Permission to conduct the study was obtained from the Institutional Review Board. Results Participants stated that “eHealth enabled compassionate care during the pandemic” by ensuring patient care availability and accessibility. They shared experiences of “communicating compassionate care via eHealth” with suggestions of addressing patients’ needs with empathy, adopting a structured protocol to guide eHealth communication, and using more advanced visual-media methods to promote human-to-human interaction. They recommended “setting realistic mutual expectations” considering the limitations of eHealth in handling complex health situations and staffing shortages. Participants considered “low eHealth literacy hinders compassion.” Additionally, they recommended the need for “institutional/system-level support to foster compassionate care.” Conclusion Participants recognized the importance of integrating compassion into eHealth services. Promotion of compassionate care requires standardization of eHealth services with institutional and system-level support. This also includes preparing adequate staffing who can communicate compassionate care via eHealth, set realistic expectation, and adjust communication to eHealth literacy level while meeting the needs of their patients. (shrink)

Forgiveness education has demonstrated psychological, social and academic benefits; however, it has not been discussed as a means of promoting character development for children and adolescents. In this paper, we discuss forgiveness as a moral concept and explain how forgiveness can contribute to current discussions of character education. After reviewing relevant literature we describe how a forgiveness programme can be an effective form of character education and attempt to clarify the contributions the forgiveness literature can make to the field of (...) character education. We argue that forgiveness provides those interested in character development with a programme that can enhance educational initiatives and advance the character education research agenda. (shrink)

Research investigating the underlying mechanisms and boundary conditions under which leader humility influences employee voice remains underdeveloped. Drawing from approach–inhibition theory of power and leader humility literature, we developed a moderated-mediation model in which personal sense of power (i.e., employees’ ability to influence other individuals such as their leader) was theorized as a unique mechanism underlining why employees feel motivated to speak up under the supervision of humble leaders. Additionally, the cultural value of power distance was proposed to be a (...) relevant boundary condition to influence such relationship. We tested the model using time-lagged supervisor–subordinate matched data. Results of mixed models analyses provided support for our hypotheses confirming that employees’ personal sense of power mediates the relationship between leader humility and employee voice, and such relationship was found to be stronger when employees’ power distance was lower rather than higher. (shrink)

This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human (...) resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems. (shrink)

Research investigating the underlying mechanisms and boundary conditions under which leader humility influences employee voice remains underdeveloped. Drawing from approach–inhibition theory of power and leader humility literature, we developed a moderated-mediation model in which personal sense of power was theorized as a unique mechanism underlining why employees feel motivated to speak up under the supervision of humble leaders. Additionally, the cultural value of power distance was proposed to be a relevant boundary condition to influence such relationship. We tested the model (...) using time-lagged supervisor–subordinate matched data. Results of mixed models analyses provided support for our hypotheses confirming that employees’ personal sense of power mediates the relationship between leader humility and employee voice, and such relationship was found to be stronger when employees’ power distance was lower rather than higher. (shrink)

In the real-world complex product design process, task allocating is an ongoing reactive process where the presence of unexpected design change is usually inevitable. Therefore, reallocating is necessary to respond to design change positively as a procedure to repair the affected task plan. General reallocating literature addressed the reallocating versions with fixed executing time. In this paper, a multi-objective reallocation model is developed with a feasible assumption that the task executing time is controllable. To illustrate this idea, a compressing executing (...) time strategy is proposed in CPD process, where the executing time can be controlled with a non-linear compression cost. When design change occurs during the executing, task-resource reallocating is required to absorb the interference effects. Reallocating implies an increase in design cost and system instability; the proposed method CETS can address this issue effectively. CETS considers three objectives: completing time, stability, and change-adaptation cost. An adaptive multi-objective hybrid genetic algorithm and tabu search is developed to solve this mathematical method. The computational results of specific simulation examples verify the superiority. It shows that CETS is sensitive to design change, and the proposed algorithm AMOGATS can be effective to achieve the allocating by coordinating the objective consistency. (shrink)

This research examines wearable, fashionable interaction design to mediate the narrative and semiotic concepts found in technology and fashion. We discuss the principles of design anthropology using Taiwan proverbs to transmit the “people-situation-reason-object” method and analyze five case studies that provide new approaches for designers engaged in future industry. Design anthropology attempts to engage physiological and psychological design through technological function, meaning formation, and fashion aesthetics to achieve cognition between people and the environment. The wearable, fashionable interaction displays characteristics of (...) narrative and semantics transmitted through craft culture as well as collective, cheerful, and creative performance. It is a confident and innovative attempt, which bears a joyful and fundamental interface. This study takes two directions, with cultural thinking serving as the basis to establish a set of traditional craft designs and interactive objects that assist designers in using the senses to inform and initiate new lifestyle values. (shrink)

This research examines wearable, fashionable interaction design to mediate the narrative and semiotic concepts found in technology and fashion. We discuss the principles of design anthropology using Taiwan proverbs to transmit the “people-situation-reason-object” method and analyze five case studies that provide new approaches for designers engaged in future industry. Design anthropology attempts to engage physiological and psychological design through technological function, meaning formation, and fashion aesthetics to achieve cognition between people and the environment. The wearable, fashionable interaction displays characteristics of (...) narrative and semantics transmitted through craft culture as well as collective, cheerful, and creative performance. It is a confident and innovative attempt, which bears a joyful and fundamental interface. This study takes two directions, with cultural thinking serving as the basis to establish a set of traditional craft designs and interactive objects that assist designers in using the senses to inform and initiate new lifestyle values. (shrink)

Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have urged the needs of mobile brain-computer interfaces (BCIs) for applications in our daily life. Since the brain may behave differently while people are actively situated in ecologically-valid environments versus highly-controlled laboratory environments, it remains unclear how well the current laboratory-oriented BCI demonstrations can be translated into operational BCIs for users with naturalistic movements. Understanding inherent links between natural human behaviors and brain activities is the key (...) to ensuring the applicability and stability of mobile BCIs. This study aims to assess the quality of steady-state visual-evoked potentials (SSVEPs), which is one of promising channels for functioning BCI systems, recorded using a mobile EEG system under challenging recording conditions, e.g., walking. To systemati-cally explore the effects of walking locomotion on the SSVEPs, this study instructed subjects to stand or walk on a treadmill running at speeds of 1, 2, and 3 mile (s) per hour (MPH) while con-currently perceiving visual flickers (11 and 12 Hz). Empirical results of this study showed that the SSVEP amplitude tended to deteriorate when subjects switched from standing to walking. Such SSVEP suppression could be attributed to the walking locomotion, leading to distinctly deteriorated SSVEP detectability from standing (84.87±13.55%) to walking (1 MPH: 83.03±13.24%, 2 MPH: 79.47±13.53%, and 3 MPH: 75.26±17.89%). These findings not only demonstrated the applicability and limitations of SSVEPs recorded from freely behaving humans in realistic environments, but also provide useful methods and techniques for boosting the translation of the BCI technology from laboratory demonstrations to practical applications. (shrink)

Mathematics is an important foundation for the development of science education. In the past, when instructors taught mathematical concepts of geometry shapes, they usually used traditional textbooks and aids to conduct teaching activities, which resulted in students not being able to understand the principles completely. Nowadays, it has become a trend to integrate emerging technologies into mathematics courses and to use digital instructional aids. Emerging technologies can effectively enhance students’ sensory experience while strengthening their impressions and understandings of subject concepts. (...) In this paper, we apply virtual reality immersive technologies to develop a “virtual reality immersive learning mathematics geometry system,” which is used to teach mathematical geometry concepts. Teachers use the system to develop three basic mathematical geometry learning materials: “Triangular pyramid volume = 1/3 prism volume,” “Cone volume calculation,” and “Triangle center of gravity derivation.” In the experimental activity, the teacher uses virtual reality teaching aids to guide students to learn mathematical geometry concepts in a fun way so that they can achieve the effectiveness of immersive learning. This study explores the impact of using the virtual reality immersive learning mathematics geometry system on students’ technology acceptance, learning motivations, and learning performance. The experimental result showed that using the virtual reality immersive learning mathematics geometry system can improve the learning motivation and learning performance of students. The findings indicated that the experimental group had better learning outcomes after completing the learning tasks of three geometric units. The experimental group used the virtual reality immersive learning mathematics geometry system which can lead to better learning outcomes. According to the ARCS questionnaire, students in the experimental group were confident to understand new subjects. At the same time, the mode of completing the game can effectively give students a sense of accomplishment. The use of emerging technologies in the classroom can be an attractive learning mode for students. (shrink)

Given the widespread acceptance of computational thinking in educational systems around the world, primary and higher education has begun thinking about how to cultivate students' CT competences. The artificial intelligence of things combines artificial intelligence and the Internet of things and involves integrating sensing technologies at the lowest level with relevant algorithms in order to solve real-world problems. Thus, it has now become a popular technological application for CT training. In this study, a novel AIoT learning with Augmented Reality technology (...) was proposed and explored the effect of CT skills. The students used AR applications to understand AIoT applications in practice, attempted the placement of different AR sensors in actual scenarios, and further generalized and designed algorithms. Based on the results of the experimental course, we explored the influence of prior knowledge and usage intention on students' CT competence training. The results show that proposed AIoT learning can increase students' learning intention and that they had a positive impact on problem solving and comprehension with AR technology, as well as application planning and design. (shrink)

The partitioned Bonferroni mean operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers. In this paper, we extend the PBM operator and partitioned geometric Bonferroni mean operator to the linguistic Pythagorean fuzzy sets and use them to develop a novel multiattribute group decision-making model under the linguistic Pythagorean fuzzy environment. We first define some novel operational laws for LPFNs, which take into consideration (...) the interactions between the membership degree and nonmembership degree from two different LPFNs. Based on these novel operational laws, we put forward the interaction PBM operator, the weighted interaction PBM operator, the interaction PGBM operator, and the weighted interaction PGBM operator. Then, we study some properties of these proposed operators and discuss their special cases. Based on the proposed LPFWIPBM and LPFWIPGBM operators, a novel multiattribute group decision-making model is developed to process the linguistic Pythagorean fuzzy information. Finally, some illustrative examples are introduced to compare our proposed methods with the existing ones. (shrink)

When it comes to Chinese transformational leadership behavior, the focus seems to be Confucian work value; nonetheless, it represents only one of the Chinese traditions. In order to have a better understanding the relationship between Chinese traditional values and transformational leadership behavior, Taoist work value should also be taken into consideration. Thus, this study firstly develops Confucian and Taoist work value scale (study 1) and then applies this scale to examine its relationship with transformational leadership (study 2). The results show (...) that while Confucian work value is the most consistent predictor of core transformational leader behavior and high-performance expectations, Taoist work value is the most consistent predictor of intellectual stimulation. (shrink)

Given that citizenship challenges the basis and workings of the basic institutions market, state, and civil society, organizational citizenship behaviors (OCBs) become an important moral tenet found in some codes of ethical principles. This study explores service-oriented OCBs and their determinants. Three dimensions of service-oriented OCBs (loyalty, service delivery, and participation) are hypothetically influenced by distributive justice, procedural justice, personal cooperativeness, and the need for social approval through the mediation of organizational commitment. The three dimensions of OCBs are hypothetically influenced (...) by personal cooperativeness, need for social approval, task interdependence, and outcome interdependence through the mediation of social network ties. The model is tested using data from contact employees at several financial holding companies in Taiwan. Test results reveal that the relationships between need for social approval and organizational commitment and those between task interdependence and social network ties are insignificant, whereas all other paths are significant. This study also provides managerial implications and limitations. (shrink)

This study examined the relationship of intelligence mindsets to math achievement for primary school students in the Chinese educational context, as well as the mediating function of math self-efficacy and failure beliefs in this relationship. Participants included 466 fifth graders (231 boys and 235 girls) from two Chinese primary schools. Results indicated that boys had significantly higher mean levels of growth mindsets and math self-efficacy than girls, whereas boys had no statistically significant differences to girls on failure beliefs and math (...) grade. Further, intelligence mindsets had a significant positive effect on math achievement, and failure beliefs and math self-efficacy played a full mediating role in the relationship between intelligence mindsets and math achievement. Moreover, intelligence mindsets affected math achievement through the chain mediating role of failure beliefs and math self-efficacy. These above findings contribute to advance our knowledge about the underlying mechanisms through which intelligence mindsets affect math achievement, which are of great significance to students' growth and current educational practice. (shrink)