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This paper shares findings from a multi-year literacy professional development partnership between a school district and university (2014–2019). We share this case of a Literacy Cohort initiative as an example of cross-institutional professional development situated within several of NAPDS’ nine essentials, including professional learning and leading, boundary-spanning roles and reflection and innovation (NAPDS, 2021).

We asked, “In what ways did the Cohort initiative create conditions for community and collaboration in the service of meaningful literacy reforms?” Drawing on social design methodology (Gutiérrez & Vossoughi, 2010), we sought to generate and examine the educational change associated with this multi-year initiative. Our data set included programmatic data, interviews (N = 30) and artifacts of literacy teaching, learning and leading.

Our findings reflect the emphasis areas that are important to educators in the partnership: diversity by design, building relationships through collaboration and rooting literacy reforms in teacher leadership. Our discussion explores threads of reciprocity, simultaneous renewal and boundary-spanning leadership and their role in sustaining partnerships over time.

This paper contributes to our understanding of building and sustaining a cohort model of multi-year professional development through the voices, perspectives and experiences of teachers, faculty and district administrators.

The present study aims to investigate the effects of sector 4.0 technologies, particularly Financial Technology (Fintech), on Sustainable Business Success (SBS) within the Indian garment sector. It aims to analyse the impact of Fintech Integration (IF) and Extent of Financial Knowledge (EFK) on sustainability performance, with a focus on understanding the mediating effect of Financial Accessibility (FA) in this relationship.

The study utilizes covariance-based structural equation modelling (CB-SEM) to analyse data collected from 683 enterprises in the Indian garment sector. The theoretical frameworks of Ecological Modernization Theory (EMT) and the Resource-Based View are employed to guide the research.

The investigation reveals that Fintech Integration (IF) and environmental friendliness knowledge significantly impact the promotion and maintenance of sustainability within the Indian garment sector. Moreover, the study highlights the moderating influence of financial Accessibility (FA) on the associations among fintech integration, Extent of Financial Knowledge, and sustainability attainment. Furthermore, sensitivity studies demonstrate that improved financial access positively affects a firm’s sustainability performance.

This study contributes to the existing literature by addressing significant knowledge gaps and offering practical insights for managers and policymakers in the Ready-Made Garments (RMG) industry. It provides a comprehensive approach that integrates fintech and financial expertise to enhance credit accessibility and foster long-term viability for enterprises within the Indian garment sector. The originality lies in its holistic perspective, combining technological integration with the Extent of Financial Knowledge to drive sustainability in a specific industrial context, thus providing valuable guidance for industry stakeholders.

In the Fall of 2019, Marietta College and Marietta City Schools, in Marietta, Ohio, piloted a program to improve literacy knowledge and pedagogy through completing LETRS training, a two-year literacy professional development based on the science of reading, as peers.

This project was aligned to effective professional development research that states better trainings are content-specific, allow support and collaboration and are ongoing throughout the school year (Blank and de las Alas, 2009; Darling-Hammond, Hyler, and Gardener, 2017) and respect participants work/life schedules (Bigsby and Firestone, 2017).

Some benefits of this collaboration were that teachers, college faculty and teacher candidates were able to communicate more effectively about literacy because we all had shared background knowledge and spoke the same language when it came to literacy. We were also able to make more meaningful clinical experiences for our teacher candidates because we created a stronger connection between the knowledge and pedagogy taught in students’ literacy courses and the practices they saw in real classrooms. Inservice teachers saw the college faculty and teacher candidates as strong partners, which greatly strengthened our clinical preparation.

The paper includes implications for the development of stronger partnerships between teacher preparation program faculty and school partnership faculty and more authentic and meaningful clinical experiences for teacher candidates.

This project shows how meaningful partnerships and clinical experiences can be created when partnership faculty are seen as peers.

An individual's capacity to manage finances has become critical in today's environment. The availability of various sophisticated financial instruments, combined with the economy's complexity and rising uncertainty, has prompted a significant push to analyse from where the youth learn about managing their money. This study intends to investigate the differences in the selected social predictors (Parents, Friends, School, Books, Job Experiences, Life experiences and Media) that influence the money management behaviour of emerging adults. The data was collected through a structured questionnaire from 230 undergraduates in the age group of 18–22 years. To test the normality of data, Kolmogorov–Smirnov (KS) test was applied and further Kruskal–Wallis test was found to be the appropriate method based on the identification of statistically significant deviations. The results show that parents have been considered as the most influential predictor (X = 3.565) of money management behaviour among emerging adults. followed by Life Experiences (X = 3.526). Whereas School and Job Experience were the least influential social predictors with mean value of 2.278 and 2.130 respectively. The study provides insights to the regulators, academicians and policymakers to initiate innovative strategies and processes for helping emerging adults for effective money management to increase their academic performance in a stress-free environment. Further, this paper contributes towards effective money management advice by recommending implementation of tools, apps and programs relating to Financial Literacy for better Financial Behaviour. Lastly, the paper provides implications that focus on enhancing the financial literacy of the parents as they act as role models for their children by teaching them skills to manage money.

The chapter engages in womanist musings to critically examine the intertwining of race, class, and gender within the realm of motherhood. Employing the rhetorical tool of “snips” to “read” intersectional experiences, the author underscores the significance of the public library and motherhood as institutions of meaning-making in the realm of knowledge production, which is essential to womanist work. The chapter illuminates the ways in which the COVID-19 pandemic has laid bare the complexities of navigating public spaces within private realms and vice versa. Overall, this chapter offers an insightful examination of the interplay between race, class, and gender, within motherhood, emphasizing the pivotal role of public libraries in supporting mothers in pursuit of knowledge production, meaning-making, and empowerment.

With the progress of the education system, many technological inventions have been found to develop the learning and teaching process. Several factors contributed to the advancement of education, from computer-based materials to web-based programs and technical tools. All these have revolutionized the whole education system and changed it from a monotonous and traditional teacher-centered approach to a motivating and interactive learner-based approach. Recently, digital technology has been implemented in many educational processes to increase teacher–learner interaction. The main feature characterizing digital learning is the active engagement that transforms learners from passive attendants to active participants in the learning process. From this perspective, teachers and learners are considered educational technologists. The purpose of this chapter is to shift the role of creativity and critical thinking from teachers to learners and show how the latter could create authentic writing by employing technology that is used and needed in the workplace. In doing so, learners become ready for their career life, and they learn to be more creative and collaborative individuals.

The primary purpose of this study is to explore the effect of technical changes on provincial-level income inequality in Vietnam. The authors also investigate whether the quality of institutions and human capital level moderate this relationship.

This research applies the fixed-effect and random-effect models on a balanced panel data set of 63 Vietnamese provinces/cities from 2010 to 2020.

The study’s empirical results show that technical improvement has a nonlinear influence on income disparity in Vietnamese localities. When the local level of technology is limited, technological change can mitigate income disparity. However, as local technological levels increase, inequality tends to rise. Moreover, the study also reveals that the quality of a province’s institutions and the level of human resources are factors that moderate the correlation between technological change and income inequality. For provinces with better institutional quality and/or better human resources, inequality tends to decline under the impact of technological change.

The results of this study suggest that while encouraging technology advancement, localities should also ensure sustainable development, reduce income inequality and focus on improving institutional quality and human resources development.

There are increasing concerns about the impact of technical change on inequality in income distribution; however, empirical evidence on this relationship in developing countries remains scarce. This study is among the few attempts to examine this issue at the provincial level of a developing country considering the moderation effect of institutional quality and human capital level.

This study investigates the factors influencing the intention to use Islamic Debt Financing (IDF) among owners-managers of Micro, Small, and Medium Enterprises (MSMEs) in Morocco.

We developed and validated a comprehensive model that examines the key behavioral elements affecting attitude towards IDF, entrepreneurial achievement motivation, and IDF usage intention. Entrepreneurial achievement motivation was assessed as a mediator in the relationship between attitude towards IDF and usage intention. Gender and Islamic religiosity were examined as moderators through Multi-Group analysis. Utilizing data from 266 Moroccan MSMEs, we applied structural equation modeling for empirical evaluation.

Results revealed direct relationships with financial literacy, risk perception, and cost perception negatively affecting attitude toward IDF. Financial suitability is inversely related to attitude toward IDF. Entrepreneurial self-efficacy and subjective norms positively influenced entrepreneurial achievement motivation. Attitude toward IDF positively impacted entrepreneurial achievement motivation, and both attitude toward IDF and entrepreneurial achievement motivation were linked to the intention to use IDF. Empirical findings indicated that entrepreneurial achievement motivation partially mediates the relationship between attitude towards IDF and usage intention. Multi-group analysis revealed a significant moderating effect of Islamic religiosity on three out of nine structural relationships.

This study is primarily limited by the absence of a longitudinal examination tracking real usage behavior. Moreover, data collection focused on analyzing the behavioral intention to use Islamic debt-based financing products, excluding equity-based financing instruments. Finally, our proposed model concentrates on establishing usage intention solely based on demand-side factors without explicitly integrating supply-side consideration.

Our findings contribute to a deeper understanding of IDF adoption behavior and have the potential to support the development of more effective public policies, targeted promotional campaigns, and impactful financial education programs for MSMEs in similar markets.

This paper represents the first attempt to address MSMEs’ apprehensions regarding Islamic debt-based financing products in the MENA region.

Artificial intelligence (AI) has the potential to address significant challenges in education, innovate learning and teaching practices and achieve SDG 4. However, existing literature often overlooks the behavioural aspects of students regarding AI in education, focusing predominantly on technical and pedagogical dimensions. Hence, this study aims to explore the significant relationships among AI literacy, AI usage, learning outcomes and academic performance of generation Z students in the Indian educational context.

The study used structural equation modelling (SEM) on Gen Z students born in the years 1997–2012 as a sample population for the research in the north Indian states like Punjab, Haryana, Himachal and regions like Chandigarh and N.C.R. Delhi.

The results established significant positive relationships between AI literacy, AI usage, AI learning outcomes and academic performance. Specifically, higher levels of AI literacy were associated with increased engagement with AI technologies and tools for learning purposes, leading to better learning outcomes and academic performance. The findings demonstrated that AI literacy plays a crucial role in providing effective learning experiences and fostering skills such as problem-solving and critical thinking among Gen Z students.

The implications of the study include the significance of integrating AI education initiatives into curricula, prioritising professional development programmes for educators and making sure that every student has equitable access to AI technologies.

The study introduces a novel perspective by examining variables such as AI literacy, AI usage, AI learning outcomes and academic performance and developing a model that has not been previously studied. It provides a new discourse and proposes a framework uniquely combining AI-infused curriculum design, educator empowerment, robust assessment mechanisms and sustainable practices.

This study investigates the causal relationship and mechanisms between the development of digital finance and household carbon emissions. Its objective is to explore how digital finance can influence the carbon footprint at the household level, aiming to contribute to the broader understanding of financial innovations' environmental impacts.

The research combines macro and micro data, employing input-output analysis to utilize data from the China Household Finance Survey (CHFS) for the years 2013, 2015, 2017, and 2019, national input-output tables, and Energy Statistical Yearbooks. This approach calculated CO2 emissions at the household level, including the growth rate of household carbon emissions and per capita emissions. It further integrates the Peking University Digital Financial Inclusion Index of China (PKU-DFIIC) for 2012–2018 and corresponding urban economic data, resulting in panel data for 7,191 households across 151 cities over four years. A fixed effects model was employed to examine the impact of digital finance development on household carbon emissions.

The findings reveal that digital finance significantly lowers household carbon emissions. Further investigation shows that digital transformation, consumption structure upgrades, and improved household financial literacy enhance the restraining effect of digital finance on carbon emissions. Heterogeneity analysis indicates that this mitigating effect is more pronounced in households during the nurturing phase, those using convenient payment methods, small-scale, and urban households. Sub-index tests suggest that the broadening coverage and deepening usage of digital finance primarily drive its impact on reducing household carbon emissions.

The paper recommends that China should continue to strengthen the layout of digital infrastructure, leverage the advantages of digital finance, promote digital financial education, and facilitate household-level carbon emission management to support the achievement of China's dual carbon goals.

The originality of this paper lies in its detailed examination of the carbon reduction effects of digital finance at the micro (household) level. Unlike previous studies on carbon emissions that focused on absolute emissions, this research investigates the marginal impact of digital finance on relative increases in emissions. This method provides a robust assessment of the net effects of digital finance and offers a novel perspective for examining household carbon reduction measures. The study underscores the importance of considering heterogeneity when formulating targeted policies for households with different characteristics.