The objectives of this investigation are two-fold: (a) to cultivate digital competencies in pre-service teachers during their training; and (b) to delineate their existing digital skills by examining the digital products they develop, referencing the DigCompEdu framework. This study utilized a holistic single-case study design, focusing on the course as a complete unit of analysis. The study group had a membership of 40 pre-service teachers. A 14-week course, utilizing the DigCompEdu framework as a guide, is dedicated to fostering digital capabilities in pre-service teachers. A study examined and evaluated the e-portfolios and reflection reports of 40 pre-service teachers who participated, using DigCompEdu indicators for each competence. An evaluation of pre-service teachers' digital competencies demonstrated a largely C2 proficiency in digital resources, mostly C1 expertise in teaching and learning, and a largely B2 competence in assessment and learner empowerment. Designer medecines A pre-service teacher enhancement program incorporating both theoretical and practical aspects of digital competency was undertaken in this investigation. Researchers hoping to study pre-service teacher training should find the study's methods instructive. Careful consideration of contextual and cultural factors is essential when interpreting the study's findings. Instead of relying on self-report surveys, this study leverages reflection reports and e-portfolios to evaluate the digital proficiency levels of pre-service teachers, thereby contributing to the literature.
An investigation into the interplay of personal elements, including channel lock-in, cross-channel synergy, and attribute-based decision-making (ADM), environmental factors such as others' prior switching behavior (OPB) and pressure to switch from others (PSO), and behavioral factors, including perceived self-efficacy and the perception of favorable conditions, as precursors to customer channel switching intention within an omnichannel framework was undertaken in this research. Our configurational analysis, informed by complexity and set theories, utilized the fuzzy-set Qualitative Comparative Analysis method. From the analysis, it was evident that two sufficient configurations contributed to the intention to alter channels. Both configurations shared ADM, OPB, and PSO conditions, revealing the key influence of personal and environmental factors in determining the desire to switch channels. However, the configurations examined were not sufficient to confirm the absence of a channel-switching intention. This research fundamentally challenges theoretical models by showcasing how omnichannel channel-switching behaviors can be interpreted from a configurational standpoint. This study's configurations are a foundational resource for researchers planning to model asymmetric customer channel-switching patterns in omnichannel situations. This study, in its concluding remarks, proposes omnichannel retail strategies and management, influenced by these configurations.
Progress 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 the contemporary fields of computer science, artificial intelligence, computational linguistics, network analysis (Woelfel, 2020; Qual Quant 54: 263-278) highlights a potential model of human cognitive and cultural beliefs and attitudes as movement within a non-Euclidean high-dimensional space. This article elucidates the theoretical and methodological benefits that multidimensional scaling offers in understanding the attitude shifts associated with the COVID-19 vaccination.
The substantial research base highlights the beneficial effects of foreign remittances and national pride on both economic growth and societal well-being. Furthermore, numerous studies underscore the significance of mitigating the effects of poverty on both economic advancement and improved quality of life. Research, unfortunately, has been largely absent in exploring how foreign remittances affect subjective personal relative deprivation and patriotism, and the causal impact of deprivation on patriotism within a single study. Consequently, this investigation explored the correlation between foreign remittances, perceived relative deprivation, and national pride. Remittances from abroad, sent by family members, friends, and neighbors, were found to be higher among those who experienced stronger subjective feelings of personal relative deprivation, based on cross-sectional data analysis. Analogously, weaker demonstrations of patriotism were associated with more intense subjective experiences of personal relative deprivation. The investigation's outcome underscores theoretical links between relative deprivation and patriotism, demanding public policy responses to reduce economic disparity through generating employment, standardizing pay scales, and conducting periodic wage reviews based on prevailing economic situations.
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. This article uses a poset approach to the European Women in Digital (WiD) Scoreboard to assess the digital inclusion of women within the EU member states and the United Kingdom. The poset approach enables us to determine the most crucial indicators for each Scoreboard dimension, focusing on the EU-28 and various country clusters, thus yielding a novel ranking that surpasses the deficiencies of aggregate methodologies, the preliminary data treatment, and the complete offsetting effect of arithmetic averages. Our research indicates that two primary indicators, STEM graduates and the unadjusted pay gap, are instrumental in women's digital inclusion. A better understanding of the digital inclusion of women across the EU-28 member states is facilitated by our research, which provides a segmentation of EU countries into four performance groups. Furthermore, it assists in designing more tailored and powerful policies for incorporating gender equality into the EU's digital transformation plan.
Performing one's job duties effectively requires strong social soft skills, yet the training and adjustment of these skills often present a hurdle. We analyze, in this work, the potential effects of the COVID-19 pandemic on social soft skills, considering Italian occupations linked to 88 economic sectors and differentiated by 14 age groups. Leveraging detailed data from ICP (the Italian equivalent of O*Net), provided by the Italian National Institute for the Analysis of Public Policy, microdata for continuous labor force tracking from ISTAT, and data on the Italian population compiled by ISTAT, we gain valuable insights. From the presented data, we simulate the repercussions of COVID-19 on occupational features and methods of work, which were notably altered by the pandemic's lockdown measures and health regulations (such as). The impact of physical closeness, face-to-face interactions, and the convenience of remote work on productivity is a complex topic. Following that, we leverage matrix completion—a machine-learning technique often employed in recommender systems—to forecast the average variation in social soft skill importance levels needed per occupation when work environments change. This is because certain changes might prove to be long-lasting. Lower productivity is a potential consequence of the deficit in social soft-skill endowment observed within professions, sectors, and age groups displaying negative average variations.
Utilizing a non-linear system GMM and dynamic panel threshold methodology, this study investigates the impact of fiscal policy on inflation across 44 sub-Saharan African countries (SSA) during the 2003-2020 period. selleck inhibitor The recent inflation rate increase, as demonstrated by the results, exhibits a fiscal characteristic, implying that a response solely through monetary policy might not prove successful. Empirical evidence suggests a statistically significant positive relationship between fiscal policy shocks, reflected in public debt, and inflation; however, negative shocks to public debt have no statistically significant impact on the inflation rate. Money supply exhibited a positive but statistically insignificant relationship with inflation, thus implying that the current regional inflation rate may not be a consequence of money supply variations. Public debt, when considered alongside money supply, reveals a synergistic effect on inflation; however, this effect falls short of the predictions of the quantity theory of money. The study's results, in addition, identified a key public debt level of 6059% of GDP. The current inflationary pressures in SSA may be primarily attributable to fiscal policy, and any accumulation of public debt beyond the study's benchmark could further amplify these pressures. In a crucial observation, the study established that for fiscal policy to foster growth and diminish inflationary trends in SSA, an inflation rate within the single-digit range of 4% should be maintained. The discussion of research and policy implications is presented in the subsequent sections.
Spatial mobility, a defining feature of human history, has considerable reverberations across numerous social spheres. Gel Doc Systems Mobility across space has been a consistent area of inquiry across a multitude of academic fields, though traditionally examined solely through readily available data, namely, migration (domestic and international) and, more contemporarily, commuting patterns. While other forms of mobility are noteworthy, it is the temporary ones, precisely the transient aspects of mobility, that are most engaging to modern societies. Now, these can be measured and observed thanks to new data sources. This contribution reflects, empirically and data-driven, on the shifts in human movement during the COVID-19 pandemic. This paper addresses two main aims: (a) developing a new index for evaluating the reduction in mobility due to the constraints enacted by governments in order to limit the spread of COVID-19.