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This chapter revisits, reinforces, and extends our view of the underpinning principles and practices of school leadership in Aotearoa New Zealand. It presents extracts from case studies of schools that illustrate the crucial role of the principal in ensuring ongoing improvement and innovation while working in increasingly complex and uncertain environments. The chapter discusses the need to understand the importance of relationships between individuals and groups, actions, contexts, environments, and cultures where processes of interaction shape principals' practices. Features of complexity thinking are used as a lens through which to understand schools as complex adaptive systems and illustrate the importance of the dynamics of the interactions among the agents and elements within the New Zealand educational system. The chapter concludes by drawing together the implications for leadership that emerge across this chapter.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

The purpose of this paper was to document the success and failures of applying Social Cognitive Theory to increase breakfast consumption in a military setting. Breakfast is the most important meal of the day, delivering performance and health benefits. Increasing rates of breakfast consumption may be improved through the application of theory.

Ready to Go, a theory-informed intervention, was piloted in 2022 in one army base in Australia. Ready to Go aimed to embed nine social cognitive theory (SCT) constructs within the pilot programme. Nine SCT indicators were tested using a pre–post design to test whether the theory could be applied to understand potential drivers of behavioural change. A total of 79 participants completed the pre-survey and 74 participants completed the post-survey.

Statistically significant differences were observed for one SCT construct, namely, knowledge, with 10 out of 24 knowledge items improving during the pilot intervention and an increase in rates of breakfast eating on Wednesdays at home was observed. Rates of breakfast eating increased by 13% (from 68% prior to Ready to Go compared to 81% afterwards). Programme participants were satisfied with the programme and reported receiving benefits from programme participation.

Programme data indicates that breakfast eating rates increased and knowledge about healthy eating improved. This paper documents the successes and failures of applying SCT to a pilot programme that aimed to increase breakfast eating rates. This study raises more questions than answers, providing a rich avenue for future research that aims to improve theory application.

The programme used SCT. As far as the authors know, this application of a full reciprocal triad model for breakfast frequency within an institutional setting is novel. Although the theory showed promise for increasing breakfast frequency, adaptation and refinement of the measures may be required for this context to provide more accurate and applicable measurement.

The paper sets out to understand the key issues that the various functions and optimal allocation of NGOs (non-governmental organizations) in the circular economy that provide public services depend not only on external quantities or densities but also on their internal size of human resources.

The paper uses different data samples and models to study the influence mechanism of optimal NGO size of human resources and its differentiated effects on governance quality of entrepreneurship.

The authors find that a reduction in transaction costs and an increase in the aggregation degree of public demand lead to increased human capital and lower financial capital intensity. In addition, the authors find that NGO size of human resources has a relationship that is approximately U-shaped (or inverse U-shaped) with the governance quality of entrepreneurship.

The paper discusses the implications for programs that encourage NGOs to optimally determine their internal size of human resources and further improve the governance quality of entrepreneurship in the circular economy.

The paper reveals the significant nonmonotonic relationship between local governance quality and NGO financial size, even after controlling for other NGO, city and provincial characteristics.

This study investigates the impact of large-scale teaching in higher education on students’ preparedness for the workforce within the context of evolving labour market demands, the expansion of higher education and the application of high-impact teaching strategies. It synthesizes perspectives on employer work readiness, the challenges and opportunities of large-scale teaching and strategies for fostering a dynamic academia-industry feedback loop. This multifaceted approach ensures the relevance of curricula and graduates’ preparedness while addressing the skills gap through practical recommendations for aligning teaching methodologies with employer expectations.

The research methodically examines the multifaceted challenges and opportunities inherent in large-scale teaching. It focuses on sustaining student engagement, maintaining educational quality, personalizing learning experiences and cultivating essential soft skills in extensive student cohorts.

This study highlights the critical role of transversal skills in work readiness. It also uncovers that despite its challenges, large-scale teaching presents unique opportunities. The diversity of large student groups mirrors modern workplace complexities, and technological tools aid in personalizing learning experiences. Approaches like peer networking, innovative teaching methods, real-world simulations and collaborative resource utilization enrich education. The importance of experiential learning for augmenting large-scale teaching in honing soft skills is emphasized.

This manuscript contributes to the discourse on large-scale teaching, aligning it with employer expectations and the dynamic requirements of the job market. It offers a nuanced perspective on the challenges and opportunities this educational approach presents, providing insights for crafting engaging and effective learning experiences in large cohorts. The study uniquely integrates experiential learning, co-creation in education and industry-academia feedback loops, underscoring their importance in enhancing student work readiness in large-scale teaching.

There is an urge worldwide that school leaders’ mental health and well-being must be prioritised within the education recovery at the local, national and global policy levels. This research identified the intentional well-being practices that school leaders cultivated as they faced unprecedented challenges during the COVID-19 pandemic.

Data was collected through one-to-one in-depth semi-structured interviews with ten senior school leaders from primary and secondary schools in England. During the pandemic, online interviews were organised using Zoom. An inductive followed by deductive approach qualitative data analysis was employed to offer insights into the multidimensional and sensitive nature of school leaders’ well-being.

The findings indicated that despite a reported decline in well-being, the participants intentionally engaged in well-being cultivation practices which were both relational: developing multi-faceted support networks, and individual: developing self-care and self-regulation skills. These practices provided different psychological and practical needs necessary for maintaining their well-being and work functioning facing the pandemic.

This study affirms school leaders’ well-being cultivation is an intentional and effortful process involving relational and individual practices to support their multidimensional well-being during extreme challenges. These practices can be mindfully and strategically cultivated. This study enhances the theoretical understanding of school leader well-being and offers timely insights into well-being initiatives in leadership development programmes for educational leaders and policymakers amid global challenges.

Bibliotherapy, a therapeutic approach that uses books and reading materials to promote psychological well-being and personal growth, has become more prevalent in recent years. This scientometric study aims to provide a comprehensive view of the bibliotherapy research landscape by highlighting its evolution, trends, and noteworthy contributions using Biblioshiny and VOSviewer.

The academic literature on bibliotherapy is evaluated in-depth in this study utilizing scientometric techniques, including citation and co-citation analysis. A thorough search of the Scopus database revealed 1,703 papers between 1942 and 2023 that dealt with bibliotherapy. For data analysis, the renowned applications Biblioshiny and VOSViewer are employed.

The study reveals that the output of publications has fluctuated, reflecting scholarly interest in this discipline. The distribution of research across various countries, organizations and academic subjects is investigated further to highlight the diverse and global extent of bibliotherapy research. By analyzing co-citation networks and locating pertinent publications and authors, this scientometric method analyzes the intellectual structure of bibliotherapy research.

Bibliometric analysis enriches the theoretical understanding of bibliotherapy by unveiling the networks, influential works and existing gaps in the literature, thus guiding a more informed and collaborative approach to future research and practice in the domain.

Employing bibliometric analysis in bibliotherapy can refine practices and training programs, ensuring they are evidence-based and practical, enhancing the quality of therapeutic services provided to individuals.

It is a valuable resource for academics, practitioners and policymakers interested in the field since it offers a thorough and current assessment of the bibliotherapy research landscape. The findings of this study have the potential to steer future research, guide the development of bibliotherapeutic interventions supported by evidence and enhance the use of bibliotherapy as a therapeutic modality.

In recent years, Yoga practice has seen a rapid rise in popularity with many positive consequences, both physical and mental attributed to its practice. Ashtanga Yoga has been less well researched in this area and is the specific focus on this work. The aim of this study is to investigate the possible positive impact of long-term Ashtanga Yoga on psychological well-being.

In total, 213 long-term Ashtanga Yoga practitioners were asked to complete the positive emotion, engagement, relationships, meaning, accomplishment (PERMA) 23 scale (Butler and Kern, 2016) which measures psychological well-being. The values given by these individuals were then compared against a larger sample of 31,966 representative of the general population.

Scores were then compared with a PERMA data set representative of the general population (see Butler and Kern, 2016), primarily using a test of difference to compare samples. Secondly, the causal relationship between time spent in practice upon well-being scores.

Findings indicated that those individuals engaged in long-term Ashtanga Yoga practice significantly outperformed the control group on all dimensions of psychological well-being.

This work has demonstrated specific benefits to the practice of Ashtanga Yoga on psychological well-being. Yoga is a form of exercise that is now widely available across the globe, and as such, represents an accessible form of physical practice, which has important psychological benefits.

To the authors’ knowledge, this is the first work investigating differences in psychological well-being profiles using PERMA, as a function of Yoga practice.