Purpose: This study seeks to understand the mediating effects of mindfulness on self-efficacy, academic performance and ability to cope with pain. It further examines the effect of mindfulness on the capacity to cope with pain-induced stress. Whilst there are physiological changes which occur due to mindfulness, it is still not clearly understood how the mechanisms behind mindfulness work or whether the role of self-efficacy is an agent of mindfulness which may impact on performance and stress coping. Participants and methods: A three-part study (n=92) was conducted to test the relationship between mindfulness, self-efficacy and well-being factors, alongside academic performance in university students. Part one involved data collection one month prior to an experiment where trait scores for all factors were used to check pain and well-being behaviors. Part two consisted of participant randomization into three intervention groups (control, sham, mindfulness) and then an exposure to a fear induction task followed by cognitive tasks. The third part consisted of investigating the effect of a short mindfulness intervention on self-efficacy, pain and well-being in students. Results: The results indicate that self-efficacy had a positive effect on well-being factors (study 1 & 3) and in the experiment (study 2). Conclusion: Self-efficacy influenced pain intensity and pain unpleasantness and significantly predicted academic performance. Mindfulness had mixed results in how it influenced self-efficacy. While it influenced well-being and lowered stress (study 1 & 2) in the long term, the mindfulness intervention significantly decreased self-efficacy.

Training through simulation has shown to increase relevant and specific skills sets across a wide range of areas in nursing and related professions. Increasing skills has a reciprocal relation to the development of self-efficacy. A study was conducted to assess changes in the development of self-efficacy in simulation training for 2nd year nursing students. Initial emotional states, pre and post self-efficacy, and expert ratings of simulation performance were assessed. Results show that students who displayed an increase in self-efficacy as a result of simulation training were also judged to perform better by expert ratings. The effect of simulation on self-efficacy could be influenced by initial states of physiological activation and over control. Results also showed that initial emotional states did not moderate self-efficacy development on outcome measures. These findings improve our understanding on the relationship between students’ self-efficacy and performance of practical skills and inform pedagogical designs and targeted interventions in relation to feedback and supervision in nursing education.

Incorporating gamification elements and innovative approaches in training programs are promising for addressing cybersecurity knowledge gaps. Cybersecurity education should combine hard and soft skill development when building the capacity to manage cyber incidents requiring timely communication, team collaboration, and self-efficacy in risk assessment and incident mitigation. The paper presents a design and evaluation of the technology-enhanced cybersecurity education approach CAPE which works as a hybrid escape room. It combines a virtualized infrastructure simulating the business environment and the physical environment where game participants play the role of the incident response team at the organization’s premises. The CAPE could be applied as a student-centered approach in the educational environment. The work employed a multiple-methods research approach to design a gamified approach and investigate crisis communication, collaboration, self-regulation, and technical competences in incident management scenarios. The design science methodology empowered the game’s construction with an attack surface covering physical and digital security. The undergraduate students participated in the pilot execution and completed the psychological questionnaires. The results were analyzed using statistical methods. Results of the CAPE execution showed a positive impact on student performance and increased interest in cybersecurity. The designed approach promoted field-specific competence development. The results demonstrated the significance of psychological aspects related to incident management. Graphical abstract

Personal resiliency refers to individual attributes that are related to the process of successfully adapting to the environment in the face of adverse conditions, also known as resilience. Emotion regulation is increasingly found as a core component in mental health and found to modulate individual differences in the management of emotional responses. The Resiliency Scales for Children and Adolescents (RSCA; Prince-Embury, 2006, 2007) were designed to systematically identify and quantify core personal qualities of resiliency in youth, and includes Sense of Mastery scale (MAS), Sense of Relatedness scale (REL), and Emotional Reactivity (REA) scale. The following study was first conducted to confirm the Three-Factor model of Personal Resiliency in a Norwegian student sample using factor analytic procedures. Secondly and the main purpose of the study, was to investigate if personal resiliency is associated with self-reported measures related to emotion regulation, and with resting vagally mediated heart rate variability (vmHRV) as a psychophysiological index of emotion regulation capacity. A revised scale adapted to the Norwegian sample was developed. Results indicate that protective indices related to personal resiliency are associated with both self-reported adaptive emotion regulation and outcome, and partly related to high capacity for emotion regulation indicated by vmHRV. Risk related to personal vulnerability was associated with maladaptive emotion regulation and outcome, but was not associated with emotion regulation capacity. Together the findings provide supporting evidence of both self-reported and psychophysiological correlates between emotion regulatory processes and personal resiliency indicated by RSCA.

With predictions of robotics and efficient machine learning being the building blocks of the Fourth Industrial Revolution, countries need to adopt a long-term strategy to deal with potential challenges of automation and education must be at the center of this long-term strategy. Education must provide students with a grounding in certain skills, such as computational thinking and an understanding of robotics, which are likely to be required in many future roles. Targeting an acknowledged gap in existing humanoid robot research in the school learning environment, we present a multidisciplinary framework that integrates the following four perspectives: technological, pedagogical, efficacy of humanoid robots and a consideration of the ethical implications of using humanoid robots. Further, this paper presents a proposed application, evaluation and a case study of how the framework can be used.

In stressful situations such as the COVID-19-pandemic, unpleasant emotions are expected to increase while pleasant emotions will likely decrease. Little is known about the role cognitive appraisals, information management, and upregulating pleasant emotions can play to support emotion regulation in a pandemic. In an online survey (N = 1682), we investigated predictors of changes in pleasant and unpleasant emotions in a German sample (aged 18–88 years) shortly after the first restrictions were imposed. Crisis self-efficacy and felt restriction were predictors of changes in unpleasant emotions and joy alike. The application of emotion up-regulation strategies was weakly associated with changes in joy. Among the different upregulation strategies, only “savouring the moment” predicted changes in joy. Our study informs future research perspectives assessing the role of upregulating pleasant emotions under challenging circumstances.