Search Results (28)

Social and emotional learning (SEL) practices in schools endeavor to support wellbeing and emotional intelligence in young people; they work best when implemented well. Educational leaders in K-12 settings need to have capacities to provide SEL implementation support. Surveying SEL implementation capacity can identify specific strengths and areas for improvement and monitor progress. The current study assesses the validity and reliability of a 15-item self-report scale of capacities to support SEL implementation. A sample of 507 county-, district-, and school-level K-12 educational SEL leaders completed the scale in Fall 2023. Confirmatory factor analysis was used. The SEL capacities scale contains four unique dimensions with high internal reliability: mindsets (5 items), knowledge (3 items), skills (6 items), and efficacy (1 item). The SEL capacities scale also showed consistency (e.g., factor structure invariance) across school seasons, different educational settings, roles in the education system, years of experience among leaders, and recent levels of SEL supports received. Data generated by the SEL capacities scale can be used to inform practice decisions, make comparisons across people and over time, and unearth specific mechanisms of change related to developing adult SEL capacities to provide SEL implementation support. Full article

Engineering education in developing countries faces critical challenges that hinder progress toward achieving the United Nations Sustainable Development Goals (SDGs). In the Democratic Republic of Congo (DRC), students entering engineering programs often exhibit significant apprehension toward foundational sciences, creating barriers to developing the technical competencies required for sustainable development. This paper introduces the AI-Integrated Practical Learning in Engineering (AIPLE) Framework, an innovative pedagogical model that synergizes Problem-Based Learning (PBL), hands-on experimentation, and strategic Artificial Intelligence (AI) integration to transform engineering education for sustainability. The AIPLE framework employs a five-stage cyclical process designed to address student apprehension while fostering sustainable engineering mindsets essential for achieving SDGs 4 (Quality Education), 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure), and 11 (Sustainable Cities and Communities). This study, grounded in qualitative surveys of engineering instructors at Université Loyola du Congo (ULC), demonstrates how the framework addresses pedagogical limitations while building technical competency and sustainability consciousness. The research reveals that traditional didactic methods inadequately prepare students for complex sustainability challenges, while the AIPLE framework’s integration of AI-assisted learning, practical problem-solving, and sustainability-focused projects offers a scalable solution for engineering education transformation in resource-constrained environments. Our findings indicate strong instructor support for PBL methodologies and cautious optimism regarding AI integration, with emphasis on addressing infrastructure and ethical considerations. The AIPLE framework contributes to sustainable development by preparing engineers who are technically competent and committed to creating environmentally responsible, socially inclusive, and economically viable solutions for developing countries. Full article

Background: This study explored the dynamics of sustainability literacy among industry professionals to advance the adoption of sustainability initiatives within the Malawi construction industry. Specifically, it examined the key attitudinal indicators (KAIs), driving factors, and barriers influencing sustainability literacy. Method: A quantitative research approach was employed, utilizing a well-structured questionnaire for data collection with a sample size of seventy-five (75) and built environment professionals as respondents. The collected data were analyzed using two inferential statistical methods: the Mean Item Score (MIS) and Exploratory Factor Analysis (EFA). Results: The EFA results identified two key components of KAIs that affect sustainability literacy: an inertia mindset and psychosocial inertia. Two primary driving factors were revealed: Perceived Benefits and Integrated Digital Capacity-Building Initiatives. This study also highlighted two major categories of barriers: inter- and intra-institutional barriers and Poor Sustainability Governance. Based on the research findings, this study proposes six policy recommendations: (1) development of a Green Paper on sustainable practices, (2) mandatory SLP on sustainable and green building practices, (3) continuous professional development (CPD) incentives for sustainability literacy, (4) economic incentives for sustainability adoption, (5) establishment of sustainability learning hubs, and (6) leveraging Fourth Industrial Revolution (4IR) technologies to enhance practical sustainability training. Conclusions: The study concludes that achieving meaningful progress in sustainability literacy requires transformational leadership to drive change across the industry. Full article

This paper explores the perspectives of Master Taixu (太虛, 1890–1947) and Master Hsing Yun (星雲, 1927–2023) on the practice of the Buddhist Five Vehicles (五乘), particularly focusing on the relationship between the Vehicles of Men and Gods (人天乘) and the Bodhisattva Vehicle (菩薩乘). Master Taixu advocated “Buddhism for Human Life” (人生佛教), emphasizing the improvement of real life as the foundation for Buddhist practice in daily life. He proposed the principle of “following the practice and fruition of the Human Vehicle to cultivate the Mahāyāna path” (依人乘行果，趣修大乘行), suggesting a gradual progression from the human vehicle to the Mahāyāna Bodhisattva path. He introduced the concept of “The perfection of human character leads to Buddhahood” (人圓佛即成) and “Present Bodhisattva Practice” (今菩薩行), highlighting the importance of adapting Buddhist practice to contemporary society and actively engaging in social service. Master Hsing Yun’s advocacy of “Humanistic Buddhism” (人間佛教) emphasizes the diversity of practice, asserting that any action aligned with Buddhist teachings, beneficial to human well-being, and conducive to the welfare of all beings constitutes a form of practice, thereby expanding its definition. He elaborated on the Five Vehicles, viewing the Vehicle of Men and Gods as a preliminary stage, advocating a gradual progression towards the Bodhisattva Vehicle, ultimately culminating in Buddhahood. He proposed the principle of “undertaking worldly affairs with an otherworldly mindset” (以出世的思想，做入世的事業), highlighting the importance of practicing the Bodhisattva path in everyday life. With “Buddha Light Pure Land” (佛光淨土) as the ultimate goal, he sought to integrate the essence of various Pure Lands traditions to achieve earthly peace and purification. Both masters highlight the importance of practicing Humanistic Buddhism, advocating for the application of the Bodhisattva practice in daily life, guiding all beings with compassion and wisdom, and actively engaging in society to address real-world issues, ultimately realizing a Humanistic Pure Land. However, their perspectives also differ: Master Taixu focused more on the theoretical construction and an exposition on the order of practice, whereas Master Hsing Yun placed greater emphasis on the diversity and flexibility of practice and the integration of Buddhist teachings into modern life. Full article

Digital Twin Networks are advanced digital replicas of physical network infrastructures, offering real-time monitoring, analysis, and optimization capabilities. Despite their potential, the absence of a standardized definition and implementation guidelines complicates practical deployment. The existing literature often lacks clarity on tool selection and implementation specifics. In response, this paper aims to address these challenges by providing a complete guide and reference list of essential tools to implement Digital Twin Networks. Following the current research and work-in-progress from the definition initiative, including our own contributions, we propose a structured approach to Digital Twin Network implementation. Our methodology integrates insights from diverse sources to establish a coherent framework for developers and researchers. By synthesizing insights from the literature and practical experience, we define key components and functionalities critical to Digital Twin Network architecture. Additionally, we highlight challenges inherent to Digital Twin Network implementation and offer strategic approaches and mindsets for addressing them. This includes considerations for scalability, interoperability, real-time communication, data modeling, and security, ensuring a holistic approach to building effective Digital Twin Network systems. Full article

This study examines the effect of FinTech on entrepreneurial performance and the essentiality of tax compliance and entrepreneurial orientation. Drawing on information from small and medium enterprises (SMEs) in Greece and utilizing Structural Equation Modeling techniques, our study shows that FinTech plays a key role in improving tax adherence and entrepreneurial mindsets, which subsequently enhances entrepreneurial success. FinTech promotes greater transparency, easier reporting, and less compliance burdens. Companies that make use of FinTech tools see enhancements in meeting tax regulation requirements efficiently and effectively without being weighed down by compliance issues that take up resources meant for innovation and strategic development instead. Moreover, this research highlights the impact of incorporating financial technology solutions for improved management and cultivating an innovative and forward-thinking environment. It highlights the importance of implementing strategies to boost FinTech adoption and foster entrepreneurial achievements, effectively sliding tax compliance into focus. Our research identifies the revolutionary impact of FinTech tools and sheds light on how technological progress can fuel entrepreneurship and improve business outcomes overall. Full article

This paper examines a donor-funded development project in the rural mountainous districts of Vietnam aimed at improving water, sanitation, and hygiene (WASH) services for vulnerable households, particularly those with disabilities. The study investigates the project’s impact on disability inclusion at the household and community levels and identifies factors that support or hinder progress towards inclusion for people with disabilities. Data from a survey of 600 households and interviews with household members and village chiefs provide insights into the perceptions and attitudes towards persons with disabilities (PWDs), and practices of disability-inclusive WASH. While progress has been made in changing attitudes towards the rights of PWDs, there is still room to improve practices, especially in engaging with PWDs, offering affordable disability-inclusive WASH services, and including them in WASH policy decisions. This paper highlights the need for a comprehensive approach that extends beyond household interventions and emphasizes a shift in mindset towards disability inclusion at all societal levels. Full article

The phenomenon of mindset provides a lens to understand more clearly the reasons for, the timing of and the resulting transformation of the Anglican Communion (AC) of its schism. It has been transformed by the interaction between those of a strong conservative mindset and those of a strong progressive mindset. The former are now in schism with those who remain in the AC. The schism is usually explained in terms of opposing doctrinal beliefs and values, which is valid as far as it goes. More fundamental is mindset because it explains why people hold these beliefs and values, which determine how they interact in society. The schism of the AC is chosen as a context or case study to which the scientific research behind mindset is applied. However, it is something that is general and fundamental, which operates in society for both the religious and secular domains. Full article

The automotive supply chain is one of the top eight value chains that cause 50% of global emissions. Despite its significance, limited literature has researched the role of insurance companies in addressing automotive supply chain emissions. This research explores strategies developed by insurance companies for addressing carbon emissions in the automotive supply chain in the UK. It employs a qualitative multiple case study approach and conducts in-depth analysis of main drivers, barriers, and strategies in four insurance companies in addressing automotive supply chain emissions. It finds that cost savings and competitive advantage, changing mindset, impending regulation, market changes, and increased connectedness are the main drivers. But further progress is slowed down by five main barriers: ‘the complexity of tracking and quantifying emissions’, ‘conflicts of interest in the supply chain’, ‘skill shortage’, ‘lack of accountability’, and ‘profit prioritisation’. To overcome this, the study establishes five main strategies for insurance companies to follow: ‘circular business model with green parts and repair-over-replace methodologies’, ‘supply chain collaboration’, ‘quantifying emissions and setting key performance indicators’, ‘higher weighting for ESG in tenders and policies’, and ‘education and awareness’. If followed correctly, businesses will be able to achieve ‘emission reductions’, ‘gain competitive advantage’, and ‘reduce costs in the supply chain’. Taking into account these findings and the academic literature, this study develops a framework for insurance companies to mitigate automotive supply chain emissions. This is one of the first papers to study carbon emissions in automotive supply chains from the perspective of the insurance industry. It provides practical implications for the insurance industry in developing carbon emission strategies in automotive supply chains. Full article

The era of digital capitalism poses conundrums for communication for development and social change scholarship and practice. On one hand, mainstream social media platforms are an increasingly ubiquitous element of the everyday media practices of growing portions of the global population. On the other, the profit-driven architectures can make these hostile spaces for progressive social change dialogues. While a burgeoning literature exists on the uses of social media as part of hashtag-activism and social movements, much less critical consideration has been given to NGOs’ and civil society organizations’ uses of capitalist-driven social media platforms in their development and social change efforts, and the challenges and compromises they navigate in this, consciously or not. This paper argues that meaningful uses of social media platforms for social change requires cultivating a hacker mindset in order to find tactics to subvert, resist, and appropriate platform logics, combined with an ecological sensibility to understanding media and communication. This paper analyzes how metaphors, specifically of a recipe, can offer a productive, praxis-oriented framework for fostering these sensibilities. The paper draws on insights from workshops with IT for Change, a civil society organization in India, which is both a leader in critiquing the political and economic power of Big Tech especially in the Global South, and beginning to use Instagram for its work on adolescent empowerment. Full article

Due to huge investments by both the public and private sectors, artificial intelligence (AI) has made tremendous progress in solving multiple real-world problems such as disease diagnosis, chatbot misbehavior, and crime control. However, the large-scale development and widespread adoption of AI have been hindered by the model-centric mindset that only focuses on improving the code/architecture of AI models (e.g., tweaking the network architecture, shrinking model size, tuning hyper-parameters, etc.). Generally, AI encompasses a model (or code) that solves a given problem by extracting salient features from underlying data. However, when the AI model yields a low performance, developers iteratively improve the code/algorithm without paying due attention to other aspects such as data. This model-centric AI (MC-AI) approach is limited to only those few businesses/applications (language models, text analysis, etc.) where big data readily exists, and it cannot offer a feasible solution when good data are not available. However, in many real-world cases, giant datasets either do not exist or cannot be curated. Therefore, the AI community is searching for appropriate solutions to compensate for the lack of giant datasets without compromising model performance. In this context, we need a data-centric AI (DC-AI) approach in order to solve the problems faced by the conventional MC-AI approach, and to enhance the applicability of AI technology to domains where data are limited. From this perspective, we analyze and compare MC-AI and DC-AI, and highlight their working mechanisms. Then, we describe the crucial problems (social, performance, drift, affordance, etc.) of the conventional MC-AI approach, and identify opportunities to solve those crucial problems with DC-AI. We also provide details concerning the development of the DC-AI approach, and discuss many techniques that are vital in bringing DC-AI from theory to practice. Finally, we highlight enabling technologies that can contribute to realizing DC-AI, and discuss various noteworthy use cases where DC-AI is more suitable than MC-AI. Through this analysis, we intend to open up a new direction in AI technology to solve global problems (e.g., climate change, supply chain disruption) that are threatening human well-being around the globe. Full article

While publications that aim to reflect the parent perspective are increasingly common in the medical literature, few are authored by parents in their own words. As mothers with lived and professional experience in the Neonatal Intensive Care Unit (NICU), we believe this perspective is vital to improving health outcomes. We are writing from a life course health development framework that regards health as an active process that develops over time with the integration of physical, social, emotional, and relational components. Health development trajectories are shaped by the family and community ecosystems that surround each child. This means that the child’s ability to thrive is strongly linked to the family’s health and well-being. These links are not being given sufficient attention in clinical practice. Psychological distress, trauma, and grief are common family experiences in the NICU. Left unaddressed, they can negatively impact parent-child bonding. Drawing on life course principles, we make a series of recommendations for changes to practice to enable NICUs to better serve children and families, and better prepare families for the post-NICU experience. These include setting a positive tone in the NICU, creating a nurturing, personalized environment; addressing the social determinants of health; supporting families to develop a ‘growth’ mindset; and communicating in an optimistic, positive manner. Building trust is key to ensuring families feel supported and can be promoted through establishing equitable collaborative models of care. Peer support, doulas, and community health worker engagement can facilitate early interactions crucial to the child’s developmental progress and family healing. Full article

The Sustainable Development Goals (SDGs) were agreed upon by the world’s leaders as the framework for a global agenda for development. The construction industry is key to the delivery of the SDGs because construction provides the physical basis for the economic activities necessary for attaining short-term economic growth and long-term development. Moreover, the construction process generates income and contributes to other sectors of the economy, and the completed items contribute to enhancing quality of life. Each constructed item should be completed to the highest level of achievement if the industry is to deliver what is required of it under the global agenda. Thus, it is necessary to have a way of assessing the extent to which this is achieved in projects. This study seeks answers to the following questions: What are the SDGs? What are their merits, challenges and drawbacks? What is the progress in the efforts to attain them? What role can construction play in the effort to attain the SDGs? How should the performance parameters of construction projects be defined to enable the industry to best play this role? The study is based on a review of the relevant literature. It is found that all the 17 SDGs are relevant to the construction industry as they concern what the industry must do, how it must do it, what it should use, and the impact of what it does on quality of life. It is suggested that appropriate performance parameters of projects are needed in order to develop policy initiatives, practices, mindsets and attitudes to enable the construction industry to undertake the tasks required of it in attaining the SDGs. As a guide, a framework comprising 15 parameters is proposed. Full article

In the digital era, companies have experienced a progressive change in their business models, which has led them to develop greater agility to adapt to changing environments, and the necessity to properly manage the group decision making in these companies is patent. This paper shows how fuzzy models are utilized in group decision making. In this context, one of the most important group decisions to be adopted is how to manage the digital transformation of the company, drawing up the best possible roadmap. To achieve this goal, this paper proposes a new methodology improvement of group decision making based on a fuzzy 2-tuple linguistic model and the analytic hierarchy process (AHP) method. The suggested methodology proposes the calculation of the digital maturity level (DML) of companies based on five of the most cited and agreed upon criteria in the existing literature. The methodology proposed in this paper was tested and validated for the business case of Spanish SMEs through three different clusters to derive global recommendations tailored to each specific cluster and company segments, using a sample of 1428 companies. The main fundings reveal that the digital maturity level directly impacts on the size of the company and its digital mindset in the sense of driving change management processes. As future works, authors recommend extending the model to any industry using the proposed methodology and evaluate disruptive technologies such as artificial intelligence (AI) in supporting the digital transformation of SMEs. Full article

Calls for systemic transformations have become prevalent throughout sustainability discourse. Increasingly, these calls point towards consciousness expanding practices and interventions, such as mindfulness, to support the development of individual understandings, skills, and capacities that are conducive to more sustainable ways of being and doing. The growing interest in leveraging inner capacities, including mindsets, worldviews, values, and beliefs for sustainability transformations emerges from concerns that conventional approaches are failing to align social and ecological systems towards long-term viability. Interest in these consciousness-driven transformations is spreading, particularly in governments and prominent organisations. Tempering this enthusiasm are concerns that untethered from moral and ethical guidelines as well as caring understanding of local and global prospects for lasting wellbeing, mindfulness programs, workshops, and interventions for inner transformation can inadvertently strengthen unsustainable systems and deepen inequities. Accordingly, this paper presents an exploratory assessment framework to increase understandings of how events focused on interventions for inner transformation align with broad sustainability requirements. Findings from application of the framework should help to elucidate how these offerings can disrupt normative ways of thinking and doing, and in turn, positively influence multi-scalar transformations. Furthermore, use of the assessment process to plan and/or evaluate inner development offerings is anticipated to help strengthen progress towards sustainability and reduce adverse trade-offs that might undermine positive systemic transformations. Full article