This research endeavors to achieve two main goals: (a) cultivating digital skills in pre-service teachers as part of their educational journey; and (b) portraying their digital capabilities by assessing the digital creations, applying the DigCompEdu framework. The research strategy involved a holistic single-case study, with the course considered as a unified entity. A study group, composed of 40 pre-service teachers, was assembled. A 14-week program, structured around the DigCompEdu framework, has been created to enhance the digital proficiencies of prospective educators. The 40 pre-service teachers' e-portfolios and reflection reports, components of the study, were scrutinized and assessed according to DigCompEdu's competence indicators. Pre-service teachers' digital competencies were evaluated as, for the most part, C2 in utilizing digital resources, largely C1 in instructional methodologies, and predominantly B2 in assessment strategies and fostering student empowerment. Advanced medical care The research presented here utilized an educational program that merged theoretical and practical components to improve pre-service teachers' proficiency in digital skills. The strategies employed in this study to train pre-service teachers are meant to be a valuable resource for researchers wishing to delve into this topic. The findings of the study should be interpreted within the broader context of cultural and contextual influences. Reflection reports and e-portfolios form the basis of this study's evaluation of pre-service teacher digital skills, providing a different perspective from the more common self-report survey method, advancing the literature in this area.
This study investigated how personal factors, including channel lock-in, cross-channel synergy, and attribute-based decision-making (ADM), interact with environmental factors, such as others' prior switching behavior (OPB) and pressure to switch (PSO), and behavioral factors, including perceived self-efficacy and the perception of enabling conditions, to affect customers' channel switching intentions in an omnichannel environment. Employing concepts from complexity and set theories, we implemented configurational analysis with fuzzy-set Qualitative Comparative Analysis. The analysis determined two configurations adequate for inducing a shift in channel preference. The presence of ADM, OPB, and PSO conditions across both configurations illustrates the pivotal impact of personal and environmental elements on the motivation to switch channels. Despite this, insufficient configurations were identified that pointed to no desire to change channels. Omnichannel channel-switching behaviors, as demonstrated in this study, are demonstrably explicable through a configurational lens, thus questioning theoretical underpinnings. The configurations derived from this study provide a framework for researchers seeking to model asymmetric customer channel-switching behavior within omnichannel contexts. The culmination of this research presents omnichannel retail strategies and management, guided by these configurations.
Significant advancements in factor analysis (Spearman, 1904; Am J Psychol 15: 201-292; Thurstone, 1947; Multiple factor analysis, University of Chicago Press, Chicago), multidimensional scaling (Torgerson, 1958; Theory and methods of scaling, Wiley, Hoboken, NJ; Young & Householder, 1938; Psychometrika, 319-322), the Galileo model (Woelfel & Fink, 1980; The measurement of communication processes: Galileo theory and method, Academic Press, Cambridge, MA), and contemporary disciplines like computer science, artificial intelligence, computational linguistics, network analysis, etc. (Woelfel, 2020; Qual Quant 54: 263-278) have yielded insights into modeling human cognitive and cultural beliefs and attitudes as movements within a complex, non-Euclidean, multidimensional framework. Multidimensional scaling's contribution to understanding vaccine attitude change, as demonstrated in this article, is both theoretical and methodological.
The substantial research base highlights the beneficial effects of foreign remittances and national pride on both economic growth and societal well-being. A significant body of research has demonstrated the importance of a lower level of societal deprivation for promoting robust economic growth and enhancing the well-being of individuals. Despite limited examination, no study has comprehensively investigated the effects of foreign remittances on subjective personal relative deprivation and patriotism, and the correlation between deprivation and patriotism within a single study. Consequently, this investigation explored the correlation between foreign remittances, perceived relative deprivation, and national pride. Cross-sectional data analysis revealed a correlation between stronger feelings of personal relative deprivation and increased remittances from family, friends, and neighbors. Likewise, a correlation was observed between decreased expressions of patriotism and heightened feelings of personal relative deprivation. Empirical data strengthens theories concerning the relative deprivation-patriotism nexus, emphasizing the importance of public policy interventions to address economic disparities via promoting job opportunities, implementing standardized wage structures, and regularly evaluating compensation in line with economic conditions.
For the EU's digital transition strategy to succeed, the engagement of women in digital society is critical, just as it is essential for achieving Agenda 2030's objectives. A poset-based analysis of the European Women in Digital (WiD) Scoreboard is employed to investigate women's digital inclusion in EU member states and the UK in this article. Considering the EU-28 and diverse country clusters, the poset methodology allows us to pinpoint the most significant indicators for each Scoreboard dimension. This enables a novel ranking that overcomes the shortcomings of aggregate approaches, data pre-processing procedures, and the complete compensation effect stemming from arithmetic means. Crucial to achieving women's digital inclusion, as our research shows, are STEM graduates and the unadjusted pay gap. Through our research, the dynamics and factors fostering women's digital inclusion in the EU-28 are explored, which produces a grouping of EU countries into four performance categories. In addition, this aspect contributes to the design of more specific and powerful policies for the integration of gender equality within the EU's digital transition initiative.
Workers' success relies heavily on their social soft skills, but the process of cultivating and refining them within the job environment is a persistent difficulty. This study examines the potential impact of the COVID-19 pandemic on social soft skills within Italian occupations, encompassing 88 economic sectors and 14 age groups. We employ data originating from ICP, the Italian equivalent of O*Net, provided by the Italian National Institute for the Analysis of Public Policy, combined with microdata on the continuous observation of the labor force from the Italian National Institute of Statistics (ISTAT), and Italian population data from ISTAT. From the information presented, we project the impact of the COVID-19 pandemic on workplace conditions and work strategies that were most profoundly affected by the lockdown measures and sanitary rules in place during that period (for example). Physical presence, direct conversations, and the option of remote work are key factors in team effectiveness. We then employ matrix completion, a machine learning technique often used in the context of recommender systems, to predict the average shift in social soft skill importance levels for different occupations as working conditions alter, anticipating that certain changes might remain prominent in the near future. The negative average variations observed across professions, sectors, and age groups indicate a lack of social soft skills, which may significantly impact productivity in the long run.
Employing non-linear system GMM and dynamic panel threshold estimation, a study explores the effect of fiscal policy on inflation rates within a panel of 44 sub-Saharan African (SSA) countries from 2003 to 2020. Navitoclax Inflation's recent rise, according to the findings, possesses a fiscal origin, implying that monetary policy might not fully address the issue. Results reveal a statistically significant positive effect of positive fiscal policy shocks, represented by public debt, on inflation, contrasting with the statistically insignificant effect of negative shocks on inflation rates. The money supply's influence on inflation, while present, was found to be positive yet negligible, suggesting that the current regional inflation rate is likely not driven by the money supply. Public debt, in conjunction with money supply, has a noteworthy effect on inflation, yet this effect deviates from the predicted relationship posited by the quantity theory of money. The research additionally ascertained a public debt threshold of 6059% of GDP, a significant finding. The inflationary pressures observed in SSA could stem from fiscal policy decisions, and public debt surpassing the established benchmark from the study could worsen the situation. Significantly, the study demonstrated that achieving growth and reducing inflationary strain in SSA via fiscal policy hinges on managing inflation within a single-digit target of 4%. We delve into the multifaceted implications of research and policy in this section.
Throughout human history, spatial mobility has been a defining characteristic, impacting various facets of society in substantial ways. Nutrient addition bioassay Many fields of study have long been fascinated by spatial mobility, though investigations often concentrate on observable forms of mobility, specifically migration (national and international) and, more recently, commuting trends. Although other mobility patterns exist, it is the temporary, transient forms that hold the most interest for contemporary societies. These are now capable of being observed and measured using innovative data sources. This contribution reflects, empirically and data-driven, on the shifts in human movement during the COVID-19 pandemic. A primary focus of this paper is the development of a new index for assessing the decline in mobility caused by government-imposed limitations aimed at controlling the spread of COVID-19. (a)