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This chapter examines the University of Connecticut (UConn) Neag School of Education's efforts to improve the recruitment of students of colour through an Early College Experience (ECE) Programme. During the pandemic, the School of Education and the ECE Programme collaborated to train and certify high school teachers to instruct the UConn's lower level undergraduate courses. The programme exposed many students of colour to teaching as a career.

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.

This chapter presents a research study that examined post-disaster authentic university academic care resilience (PAUACR) at a Historically Black College and University (HBCU). PAUACR is a university’s and its students’ capacity to bounce back from post-disaster educational challenges. PAUACR requires a strong caring response and authentic academic care environments. For the University of the Virgin Islands (UVI), PAUACR following Hurricanes Irma and Maria was crucial to ensure students successfully completed the academic year. To assess UVI’s PAUACR, this study utilized a caring about academic caregiving inventory (CAACI). This 49-item instrument was used to gain students’ discernment of post-disaster authentic university academic care (PAUAC). The research employed a cross-sectional exploratory survey research design. The empirical analysis found associations between the structural workings of UVI’s academic caregiving in the aftermath of hurricanes Irma and Maria. These findings offer distinctive indicators of UVI’s PAUACR. Along with the findings, this chapter offers practical lessons of academic resilience drawn from the experience of conducting post-disaster research.

Chatbot technology is growing swiftly across the banking and finance industry. The study aims to explore the influence of Task-Technology Fit (TTF), system suitability, perceived usefulness, social influence and satisfaction on respondents’ continuance intention among the chatbot-users. A total of 250 responses were collected using a structured questionnaire via social media across India. The measurement model was proposed based on the system usability (SUS) and TTF model with other constructs, and the hypothesis was tested using a structural equation model. The findings of the study highlighted and confirmed the association among five constructs: TTF, SUS, perceived usefulness, social influence, on satisfaction and continuance intention in the context of chatbots usage in banking.

Although organizational citizenship behaviour (OCB) is a concept associated with significant values within the modern workplace, many employees find it challenging to exhibit some necessary extra-role behaviours, such as helping co-workers complete their duties when a situation demands it. Currently, in the South African workspace, fostering OCB among employees is a concern to people practitioners. Specifically, extra-role types of behaviour are declining among professionals as 21st-century technologies promote remote-working policy, leaving employees to work robotically with computers and having no colleagues around to seek or render assistance with their duties. Moreover, professionals are overwhelmed with the timely and endless obligations received frequently and hardly have time and energy for extra-role behaviours. In addition, physical and psychological health-related concerns such as technology stress and career worries are among the contemporary issues affecting human resource (HR) management in this present time. This necessitates more scholarly actions in the niche of OCB, especially identifying and arresting its hindrances. However, a thorough review of the literature on OCB revealed a paucity of scientific reports in the areas of relationships between technostress, career concerns and OCB. Hence, the proposed chapter seeks to bridge the gap in the literature of OCB by theoretically exploring the relationships between technostress, career concerns and OCB in the professional services context in South Africa.

Need: The previous suggestion assists with administrative methodology. The contribution explores customer understandings in different industry and transaction texts. They include online education, video marketing, and entertainment analytics. The communication needs to be detailed to improve the system.

Purpose: The suggestion aims to improve the previous contribution by enhancing the user experience. The study increases the usage of video content. The recommendation brings better business to the video host.

Methodology: The work includes the machine learning algorithm to understand the user and improve the client’s experience. The recommendation uses the Apriori algorithm to map various attributes of the trainer and learners. The suggested work has three features. It focusses on video possessions, educator feelings, physical characteristics, and visible aesthetic characteristics. The study considers 1,200 different samples.

Findings: The work simulates using python. It improves efficiency by 29.5% compared to previous work.

Practical Implications: Machine learning has pitched in to understand diverse customers’ behaviour. Various features affecting the behaviour are collected and analysed by the system. The study intends to find an appropriate mapping between the attributes of the user and educator.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.