This study seeks to accomplish two central tasks: (a) nurturing the digital skills of future educators within the learning process; and (b) delineating their digital competencies by scrutinizing educational products they have created, utilizing the DigCompEdu framework. The research strategy involved a holistic single-case study, with the course considered as a unified entity. Forty pre-service teachers populated the study group. To nurture the digital capabilities of pre-service teachers, a 14-week course, based on the DigCompEdu framework, has been implemented. The e-portfolios and reflection reports from 40 participating pre-service teachers were assessed and examined in the context of DigCompEdu, focusing on the indicators for each competence. Pre-service teachers' digital skills were assessed, with results showing a primarily C2 level of expertise in digital resources, predominantly a C1 level in teaching and learning strategies, and a largely B2 level of competency in assessment and empowering student learning. Biomass fuel This study focused on an instructional process blending theoretical and practical exercises designed to develop pre-service teachers' digital skills. Researchers pursuing studies related to pre-service teacher training should find the procedures outlined in the study to be insightful and useful. Careful consideration of contextual and cultural factors is essential when interpreting the study's findings. This study enhances the existing body of knowledge by assessing pre-service teachers' digital competencies through reflection reports and e-portfolios, diverging from the traditional self-report survey methodology.
This research explored the intricate relationship between personal factors, such as channel lock-in, cross-channel synergy, and attribute-based decision making (ADM); environmental factors, including others' past switching behavior (OPB) and peer pressure to switch (PSO); and behavioral factors, such as perceived self-efficacy and the perceived ease of transition, as determinants of customer channel switching intent in an omnichannel setting. We applied configurational analysis, guided by the principles of complexity and set theory, using the fuzzy-set Qualitative Comparative Analysis approach. According to the analysis, two configurations were sufficient to drive the desire to change channels. Both configurations exhibited ADM, OPB, and PSO conditions, emphasizing the necessity of individual and environmental elements for channel-switching intent. Although, there were insufficient configuration settings found to demonstrate an absence of the desire to switch channels. The research challenges theoretical groundwork by revealing that a configurational perspective can illuminate omnichannel channel-switching behaviors. Researchers investigating asymmetric customer channel-switching behavior in an omnichannel setting can use the configurations developed in this study as a starting point. Lastly, this document details omnichannel retail strategies and management, inspired by these configurations.
From Spearman's early work on factor analysis (Am J Psychol 15, 201-292, 1904) through Thurstone's later contributions (Multiple factor analysis, University of Chicago Press, Chicago, 1947), and encompassing multidimensional scaling (Torgerson, 1958; Theory and methods of scaling, Wiley, Hoboken, NJ; Young and Householder, 1938; Psychometrika, 319-322), the Galileo model (Woelfel and Fink, 1980; The measurement of communication processes: Galileo theory and method, Academic Press, Cambridge, MA), and recent developments in computer science, artificial intelligence, computational linguistics, network analysis, and other fields (Woelfel, 2020; Qual Quant 54, 263-278), human cognitive and cultural beliefs and attitudes appear modellable as trajectories through a multidimensional non-Euclidean space. Through a multidimensional scaling approach, this article demonstrates the theoretical and methodological impacts on understanding how attitudes toward the COVID-19 vaccine have transformed.
Studies consistently demonstrate the substantial role of foreign remittances and nationalistic fervor in driving national development and improving human conditions. Various investigations have confirmed the crucial role of minimizing deprivation in stimulating economic growth and improving the overall well-being of populations. Research examining the impact of foreign remittances on subjective personal relative deprivation and patriotism, in addition to the impact of deprivation on patriotism, is notably limited to the point of near-absence in a single study. In this study, therefore, the connection between foreign remittances, personal relative deprivation, and patriotism was investigated. Analysis of cross-sectional data indicated that those experiencing stronger subjective feelings of personal relative deprivation showed a pattern of receiving higher foreign remittances from family, friends, and neighbors. Concurrently, lower expressions of patriotism were shown to be associated with heightened feelings of personal relative disadvantage, as perceived by the individual. The research findings bolster theories regarding the interplay between relative deprivation and patriotism, underscoring the need for public policy focused on reducing economic inequality by facilitating employment, adopting standardized salary/wage structures, and conducting regular reviews reflective of prevailing economic circumstances.
Integral to the success of Agenda 2030 and the EU's digital transition strategy is the active involvement of women within digital society. This article explores women's digital inclusion in EU member states and the UK by applying a poset-based methodology to the European Women in Digital (WiD) Scoreboard. Utilizing a poset methodology, we can pinpoint the most vital indicators for each Scoreboard dimension, taking into account the EU-28 and various country groupings. This results in a new ranking that overcomes the shortcomings of aggregate methods, data pretreatment, and the complete compensation effect inherent in arithmetic averages. Our analysis reveals that STEM graduates and the unadjusted pay gap are the most impactful elements in promoting women's digital inclusion. Our research aims to improve the understanding of the digital inclusion of women in the EU-28, segmenting EU countries into four performance groups based on their women's digital inclusion levels. This also helps create more precise and effective policies that address gender equality within the EU's digital transition strategy.
Social skills, fundamental to successful work output, are often challenging to teach and modify as work demands change. The present study examines the possible consequences of the COVID-19 pandemic on the social soft skills of Italian workers, categorized by their 88 economic sectors and 14 age groups. We utilize data from the Italian National Institute for the Analysis of Public Policy (ICP, the Italian equivalent of O*Net), microdata for labor force analysis from ISTAT, and Italian population data from ISTAT to inform our work. Using these data, we project the effects of COVID-19 on workplace characteristics and work styles, those most affected by the lockdown measures and health mandates of the pandemic (for instance,). Physical presence, direct conversations, and the option of remote work are key factors in team effectiveness. In the next step, we apply matrix completion, a machine learning method frequently used in recommender systems, to predict the average variation in the importance levels of social soft skills for different occupations when working conditions shift, as some of these changes may be long-lasting. Professions, sectors, and age groups with demonstrably negative average variations are susceptible to a deficiency in social soft-skills, which could have repercussions on productivity.
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. theranostic nanomedicines Fiscal factors, as evidenced by the results, are driving the recent increase in the inflation rate, meaning monetary policy alone is unlikely to provide a comprehensive solution. The study's findings show a statistically significant positive relationship between inflationary pressures and positive fiscal policy shocks, as measured by public debt levels, whereas negative shocks to public debt have a statistically insignificant impact on inflation. While money supply exhibited a positive impact on inflation, this effect was not deemed statistically significant, suggesting that the current inflation rate in the region might be independent of money supply changes. 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. Subsequently, the study's outcomes unveiled a public debt threshold of 6059% of GDP. Fiscal policy actions may be the root cause of the current inflationary pressures in SSA, and exceeding the study's debt benchmark will likely worsen the situation. Importantly, the analysis showed that effectively stimulating growth and curbing inflation in SSA, using fiscal policy tools, necessitates managing inflation within a single-digit rate of 4%. The research and policy implications are examined and debated.
The history of humankind is profoundly marked by spatial movement, which has considerable consequences for many dimensions of social life. NSC 123127 The area of spatial mobility has held a particular allure in numerous academic fields, despite the focus typically being limited to observable mobility patterns from traditional sources, including migration (domestic and international), and more recently, commuting. 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. The paper's primary objectives are twofold: (a) creating a novel index to gauge mobility attrition resulting from governmental restrictions implemented to curb the COVID-19 pandemic.