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Current academic research on teacher learning is increasing in number and deepening in quality, but at the same time, the heterogeneity is growing significantly. Similar work is challenging to cross-check regarding conclusions due to the different research foci. This paper aims to provide a reliable theoretical framework and offers solid insights based on the existing research.

Based on the Onion model, 67 core literature in English and Chinese were coded through qualitative meta-analysis methods to explore environmental, behavioral, competence, belief, identity, mission and other factors that may impact teacher learning.

It was found that the quantitative structure of the current relevant studies was in an inverted triangular shape with three levels of steps, respectively, which can be summarized as structural environment, core behaviors and dominant mission. The heterogeneity between the findings mainly originated from two situations, oppositional and complementary and some structural adjustments were made to the Onion model according to the coding results to better represent the interaction of influences between the levels. It also analyzes current research trends and the centrality of learned behaviors based on the coding results.

The design of teacher learning activities should combine theoretical, practical and inquiry learning to ensure that teachers are kept fresh and motivated by sustained and varied stimuli.

To the best of the authors’ knowledge, this study is the first to analyze teacher learning influences through qualitative meta-analysis and create node saturation to analyze the results, resulting in highly credible and valuable research findings.

In this chapter, rephrasing Spivak's question into ‘can subaltern children speak?’, I reorient the research on China's gigantic population of children and youths in rural migrant families towards a critical interpretative approach. Based on life history and longitudinal ethnographic interview gathered with three cases, I unpack the multiple meanings migrants' children attach to mobility in their childhood experiences. First, despite emotional difficulties, children see their parents' out-migration more as a ‘mobility imperative’ than their abandonment of parental responsibilities, which should be contextualized in China's long-term urban-biased social policies and the resultant development gaps in rural and urban societies. Second, the seemingly ‘unstable’ and ‘flexible’ mobility patterns observed in migrant families should be understood in relation to a long-term family social mobility strategy to promote children's educational achievement and future attainment. The combination of absent class politics in an illiberal society with an enduring ideology of education-based meritocracy in Confucianism makes this strategy a culturally legitimate channel of social struggle for recognition and respect for the subaltern. Last, children in migrant families are active contributors to their families' everyday organization amidst mobilities through sharing care and household responsibilities, and developing temporal and mobility strategies to keep alive intergenerational exchanges and family togetherness. The study uncovers coexisting resilience and vulnerabilities of migrants' children in their ‘doing class’ in contemporary China. It also contributes insights into our understanding of the diversity of childhoods in Asian societies at the intersection of familyhood, class dynamics and cultural politics.

The publication oeuvre of a researcher carries great value when academic careers are assessed, and being recognised as a successful candidate is usually equated with being a productive author. Yet, how publications are valued in the context of evaluating careers is so far an understudied topic. The paper aims to discuss these issues.

Through a content analysis of assessment reports in three disciplines – biomedicine, economics and history – this paper analyses how externalities are used to evaluate publication oeuvres. Externalities are defined as features such as reviews and bibliometric indicators, which can be assessed without evaluating the epistemological claims made in the actual text.

All three fields emphasise similar aspects when assessing: authorship, publication prestige, temporality of research, reputation within the field and boundary keeping. Yet, how these facets of quality are evaluated, and the means through which they are assessed differs between disciplines. Moreover, research fields orient themselves according to different temporal horizons, i.e. history looks to the past and economics to the future when research is evaluated.

The complexities involved in the process of evaluating candidates are also reflected in the findings, and while the comparative approach taken effectively highlights domain specific differences it may also hide counter-narratives, and subtle intradisciplinary discussion on quality.

This study offers a novel perspective on how publications are valued when assessing academic careers. Especially striking is how research across different fields is evaluated through different time horizons. This finding is significant in the debate on more overarching and formal systems of research evaluation.

In what follows, I first unpack the context of East Asia where fast economic growth, demographic transition, shifting public policies, and historical legacies as well as emerging trends of family norms and practices jointly influence children's and youths' everyday lives and well-being. I show that albeit intraregional and intrasociety heterogeneities, childhood is part and parcel of the modernization project in this part of the world, which has attracted concerted efforts of intense investment from the state and the family, shaping a trajectory of childhood that is increasingly scholarized. I then sketch the landscape of childhood and youth studies in this region, calling for the intervention of childhood sociology as an approach to bring young people's own perspectives, voices, subjectivities, and actions to the fore. This is followed by an introduction to four compelling contributions that offer rich and nuanced insights into the pains and gains, pressures and perseverance of the growing up experiences of the young in rapidly changing East Asian societies.

Guided by several of the 9 essentials of what it means to be a PDS (NAPDS, 2021), authors share a plea to rethink the teacher burnout-attrition-staffing crisis with a call toward a moral imperative of recentering an ethic of care. Many schools are operating under anti-care practices which directly undermine teacher wellness in part due to secondary traumatic stress, rising workload demands and intensive student needs.

Reflecting a compilation of teacher voices, including participants from three research studies and the collective decades-worth experience of educator scholars, this paper presents a synthesis of educator burnout and the role of educator wellness within trauma-informed social emotional learning initiatives.

The practical model of educator resilience offers a potential solution to burnout and attrition by prioritizing care for teachers individually and collectively prior to addressing care for students.

The model articulates educator resilience as the motivational force of life within a school community focused on an ethic of care that drives the collective and individuals within the collective to be their best. This aligns with foundation principles of PDS schools and Goodlad and colleagues’ decades-old call to foreground the moral dimensions of teaching in school reform (1990).

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

The aim of this chapter is to understand the policy liberties and constraints within which school headteachers, and teachers aspire to promote high-quality education for their pupils in private schools in Somalia in the context of conflict in the country. This chapter develops this understanding of headteachers particularly in low-cost primary private schools in Somalia. The analysis in this chapter is informed by Mumford et al.’s Skills Model, as this approach combines the notion of knowledge and abilities necessary for effective leadership. First, using interview data with headteachers, we critique how headteachers in private schools in Mogadishu, Somalia, lead and manage schools when there is a crisis and conflict surrounding them, by unpacking the concepts of leadership and management. Second, we shed light on how well they are prepared and developed professionally to manage in such a turbulent environment caused by the war in Somalia. Here, we consider the role of the Federal Ministry of Education in the level of support that headteachers get in enacting their education policy. Third, this chapter discusses the impact of such crises on the quality of education provision for local private schools. Finally, this chapter identifies lessons to be learnt through suggested recommendations for headteachers in leading and managing education in times of turbulence and conflict. Here, we pose a suggestion for headteachers to consider if glocalisation, as a phenomenon, may offer a way to resolve local crises with local solutions in providing high-quality education for their students.

The purpose of this paper is to investigate the impact of foreign direct investment (FDI) on the stock market development in Nepal.

The study used Johansen cointegration approach to determine long-run relationship and VEC Granger causality test to check the causal relations between the variables. The sample covered annual time-series data for the period 1996–2020.

The results suggest that FDI plays significant positive role in the stock market development in the long-run but inversely affect in the short-run. Unidirectional causality running from FDI to stock market development is observed in the long-run and bidirectional in the short-run. There is an insignificant positive relationship between exchange rate and FDI in the short-run. Banking sector development complements stock market development in the short-run but act as a substitute in the long-run. The statistically negative coefficient of exchange rate imply that the appreciation of the home currency encourage the development of the stock market in the long-run.

The positive and statistical coefficients of cointegration results indicate that FDI complements the development of stock market in Nepal in the long-run. Furthermore, the depreciation of the domestic currency may potentially contribute to the foreign direct investments in Nepal.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.