The present study focuses on the level of stress male and female teachers perceive when dealing with the most behaviorally challenging student in his or her classroom. To measure stress in Dutch elementary classrooms, a sample was drawn of 582 teachers. First, they rated the most challenging student in their classroom on six different behavioral components: Against the grain, Full of activity/Easily distractible, Needs a lot of attention/Week student, Easily upset, Failuresyndrome/Excessively perfectionist, and Aggressive/Hostile. Teachers then scored perceived stress as a result of this challenging behavior. Two questions concerning gender relations in class rooms will be addressed. Do female and male teachers select the same type of behaviorally challenging students as the most challenging? And: do they perceive the same level of stress? Our data shows that female teachers do indeed report significantly more incidence of challenging behavior, but no evidence is found for differences between stress levels of male and female teachers.
People with disabilities (PWDs) face discrimination in the hospitality workplace. The aim of this paper is therefore to frame issues surrounding the employment of PWDs in the hospitality industry in normative ethical terms. To achieve this aim, we conducted twenty-eight semi-structured interviews with owners/managers of hospitality businesses and other relevant stakeholders. Drawing on the ethics of justice and ethics of care, our study found that when organisations demonstrated to their employees and other stakeholders the fairness in the procedures taken to implement PWD inclusion actions, the inclusion actions were significantly supported by coworkers, and the organisations were able to achieve distributive justice and care for PWDs. This study, thus, demonstrated that organisational members were willing to take part in caring actions for employees with disabilities (EWDs) not only when they perceived that inclusion actions for EWDs were procedurally fair, but also when they perceived that the PWDs deserved distributive justice outcomes.
MULTIFILE
This explanatory sequential mixed methods study explores the perceptions of academic and administrative managers responsible for teacher training at a public university in Colombia, as well as their views on improving such training after learning about the performance of teachers student teachers in the 2019 Saber Pro test, the differences in their test scores, and the relationships and statistical correlations between these outcomes and the students’ personal, family, socioeconomic and academic characteristics. Our findings show significant differences in the student teachers’ mean scores and performance when data are grouped according to personal, socioeconomic and academic conditions; a significant relationship between performance and student teacher characteristics; and correlations between critical reading scores and the other competencies assessed. Our data also highlight the lack of knowledge among academic and administrative managers about students’ life circumstances and the diversity of factors that may impact their performance; the importance of correlational data; the difference between expected and true outcomes; the inequity under which students seem to pursue their education; the limitations in access to resources; the training required for teachers to be able to analyze quantitative data and use specific software; the impact of teachers’ critical reading skills on student outcomes; the importance of data-driven decision-making; and the need for teachers to engage in quantitative research practices.
In an increasingly complex and rapidly changing world, traditional disciplinary approaches to the framing and resolution of social and economic problems deliver ever diminishing returns.Discussions abound, therefore, about how best to educate and prepare graduates for the fresh challenges of the 21st century.Knowledge Alliances between Higher Education Institutions (HEIs) and enterprises which aim to foster innovation, entrepreneurship, creativity, employability, knowledge exchange and/or multidisciplinary teaching and learning are therefore becoming increasingly necessary and relevant. The challenge is to determine what we should teach in the future and how it should be taught. The changing nature of contemporary society highlights that social issues are often highly complex and multifaceted.The aim of this Action is to demonstrate, through the adoption of Multi-Disciplinary Innovation (MDI) methods, how we can respond to social problems with a design-led approach which has a problem-oriented ethos, supporting positive social change and the development of international public policy discourse. It will be achieved through the establishment of a Pan-European Public Sector Innovation (ePSI) lab. It will prepare students for roles in employment by integrating education programmes into the lab’s operations and it will support agencies that have a role in responding to and developing public policy.COST action on social innovation in labs
We live in a time of radical changes in Europe. The climate crisis, the war in Ukraine, energy crisis, the pandemic, increasedprice levels and interest rates, digitalization, robotization, reduced birth rates, an aging population, migration, a decliningdemocracy index and increasing friction level between continents and powerful states makes us uncertain about tomorrow.Deglobalization, shorter production lines, changed export models, bloc formations and sovereignty might be results of someof the large challenges we see today. We see tendencies towards increasing poverty and a declining middle class. It isperhaps more important than ever in recent times to show optimism on behalf of young people and future generations.European cooperation and the link between the right skills for the right future seems to be more actual and important thanever. A report from McKinsey Global Institute (2017) about future work life, competence development and digitalization,shows that approximately 50 % of todays jobs can disappear in the nearest future caused digitalization, robotization and AI.MGI’s in-dept report have covered more than 20 countries and 30 industries (mckinsey.com). We have also a commonEuropean challenge reagarding too many youth outside the working life. The NEET index (Not in Employment, Education orTraining) was 14 % totally for the EU countries, 9.6 % for Germany, 6.3 % for Netherlands and also 6.3 % for Norway in2021 (ssb.no).This is a challenge we have to solve as we need to increase the work participation as welfare costs willincrease as a consequence of more immigration and several older people.
