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Large classes pose challenges in managing different types of skills (e.g. maths, subject-specific knowledge, writing, confidence and communication), facilitating interactions, enabling active learning and providing timely feedback. This paper shares a design of a set of assessments for a large undergraduate economics course consisting of students from diverse cultural backgrounds. The benefits, challenges and learning experiences of students are analysed.

Students worked in groups to complete an assessment with several questions which would be useful as a revision for the individual assessment, the following week. Survey questionnaires with Likert-type questions and open-ended questions were used to analyse the learning and skill development that occurred because of the group work. Responses to the open-ended survey questions were coded and analysed by identifying the themes and categorising the various issues that emerged.

This assessment design developed group working skills, created opportunities to interact and enhanced learning. The analysis of the responses found that working with peers enabled the students to generate their own feedback, clear doubts and learn to solve problems. Effective communication, planning meetings and working around the diverse group members’ strengths and weaknesses are some graduate skills that are developed in this group assessment. The challenges were arranging meetings, finalising assessments, engagement of group members and unreliable technology. However, the students found ways to overcome these challenges.

This assessment design can be useful in higher education practice by introducing a mechanism for authentic collaborative practice. This paper adds to the literature on peer interactions and group work and enables effective learning at scale.

The purpose of this study is to evaluate the Healthy Retirement Program's effectiveness toward skills improvement and evaluate changes in subjective health.

A quasi-experimental, pre and posttest of the comparison groups was conducted. Teachers who were going to retire within one year were recruited into the experimental (n = 47) and the comparison groups (n = 43). Questionnaires were administered at baseline, posttest and at the 6-months follow-up. An independent t-test and Mann–Whitney U test were applied to determine the differences in outcomes between groups.

The results revealed different effects regarding teachers' health status. In those who had no chronic disease, the experimental group had higher skills to understand health information at posttest and at follow-up (p = 0.036, 0.028). Skills to apply health information was also greater at follow-up (p = 0.042). Among those suffering from a chronic disease, skills to access and apply health information were significantly higher in the experimental group than that of the comparison at follow-up (p = 0.011, 0.046). Greater perceived health of the experimental group was also indicated (p = 0.032).

While the health conditions of teachers at the preretirement period are inconsistent, healthy lifestyle management after retirement is a crucial skill for retirement adjustment. Supporting teachers to be health literate should be included in the retirement planning program which emphasizes preretiree's ability to understand and take control of their health.

Creating suitable learning conditions in university classrooms continues to be a topical issue in higher education. The above means that a continued search for innovative teaching and learning strategies in universities remains a priority issue. The study therefore investigated conditions that facilitate the effective implementation of cooperative learning (CL) as well as how CL influences the academic performance of students in universities in Zimbabwe.

The research adopted a quantitative research approach located in the descriptive research design. A sample of 341 undergraduate students selected using a simple random sampling strategy from a sample frame of 701 undergraduate students participated in the study. The study first used a pre-test and later, a post-test to determine the initial and end of semester (EOS) academic performance levels of students, respectively, on a Calculus 1 course. A self-constructed structured questionnaire was also used for data collection on the views of students towards the use of CL with particular reference to the 5 dimensions of positive interdependence (PDI), promotive interaction (PI), individual and group accountability (IGA), social and interpersonal skills (SS) and group processing (GP). The questionnaire was validated using confirmatory factor analysis. Structural equation modelling was used to test proposed relationships. A total of 341 questionnaires were administered through an email survey. Of the total, 149 completed questionnaires were received from the students, giving a return rate of 43.7%.

The results showed that positive interdependence, promotive interaction, social and interpersonal skills, individual and group accountability as well as group processing were important antecedents to the effective implementation of CL in universities. The results further showed that CL plays a significant role in improving the academic performance of university students; hence, academic performance was viewed as a significant consequence of CL.

This is the first study on the application of CL to enhance the academic performance of university students in the context of Zimbabwe. As a result, caution should be exercised when generalising the results as more studies to either confirm or disconfirm these results in the context of Zimbabwe may still be required.

These results have implications on policy and practice with regards to active teaching strategies in universities. With regards to practice, the results demonstrated that the use of group activities that allow students to share knowledge and support each other while the teacher plays a facilitating role is important for enhancing students' academic performance. With regards to policy, the results showed that universities can enhance the academic performance of students if policies that promote student-centered teaching and learning approaches to ensure that teaching in universities is more student-led than lecturer-led are developed.

While many studies have been conducted in other contexts, to establish the influence of CL on the academic performance of university students, there is no known study on the influence of CL that has been conducted in the context of Zimbabwean universities. The results of this study therefore are an eye opener on the role of CL in enhancing the academic performance of students in Zimbabwean universities.

The purpose of this paper is to explore the neuroscience that underpins the psychology of compassion as a competency. The authors explain why this cognitive competency is now taught and assessed on modules of different degree subjects in a UK university.

The paper is divided into first, an exploration of recent psychology and neuroscience literature that illuminates the differences, and relationship, between empathy and compassion for safeness building in teams. Within that, the role of oxytocin in achieving social and intellectual rewards though the exercise of cognitive flexibility, working memory and impulsive inhibitory control (Zelazo et al., 2016) is also identified. The literature findings are compared against relevant qualitative data from the above university, so far, nine years of mixed methods action research on compassion-focussed pedagogy (CfP).

These are that the concept and practice of embedding compassion as an assessed cognitive competency in university group work is illuminated and rationalised by research findings in neuroscience.

The limitations of the study are that, so far, fMRI research methods have not been used to investigate student subjects involved in the CfP now in use.

The paper has implications for theory, policy and practice in relation to managing the increasing amount of group work that accompanies widening participation in higher education (HE).

The social implications of what is outlined in the paper pertain to student mental health, and academic achievement; to policy and practice for HE curriculum design across subjects and disciplines; and for the HE remit to serve the public good.

A review of this kind specifically for student assessed group and its implications for student academic achievement and mental health has not, apparently, been published.

Current domestic and international research predominantly examines the past experiences of people seeking asylum and the negative influences such experiences have on health and well-being. However, few studies address the future needs of people seeking asylum, as they transition from Direct Provision. This study aims to address this gap in knowledge by exploring the perspectives of women seeking asylum in Ireland on the skills they think they will need, as they transition from Direct Provision to life in Ireland.

A qualitative methodology using a community-based participatory research (CBPR) approach was used, to collect data collaboratively and sensitively with a vulnerable population group. Convenience sampling was used to recruit six women seeking asylum in Ireland, to participate in focus groups and semi-structured interviews. Data were transcribed and analysed using thematic analysis.

Women seeking asylum identified four themes of skills for doing, skills for being, skills for becoming and skills for belonging that are necessary for life in Ireland after Direct Provision. Barriers and opportunities to develop these skills were documented as sub-themes. The skills identified under these themes and sub-themes included work, education, driving, childcare, social integration, money management, home management, health management and leisure.

Using participatory methodologies, future research should further explore the skills required for transition from Direct Provision, to continue to raise awareness of the potential for occupational injustice and the role occupational therapists could play in this transitional period.

Despite the institutional calls to include the development of non-technical skills as objectives in accounting curriculum and the attempts to do so, a gap between the level of skills exhibited by graduates and those needed to succeed as a professional is still perceived. One of the possible causes could be students' overconfidence, defined as a very optimistic assessment of their own abilities. The main objective of the paper is to assess the existence of overconfidence.

Two samples, students and employers were surveyed regarding the exhibited level of accounting graduates in a set of 22 non-technical skills, highlighted as relevant in the literature. This enabled a comparison of the opinions of employers with the perceptions of students concerning the demonstrated level of such skills.

The results of this study support the existence of students' overconfidence. In all the skills students score their ability higher than employers do with those differences being statistically significant in 21 out of 22 skills. Employers who are in closer contact with entry level accountants perceive even lower exhibited skills levels in graduates.

Overconfident students would be less motivated to actively participate in activities designed to improve skills resulting in underachievement and in lower performance. This low performance in highly valued skills could potentially harm their employability.

Although the literature focussing on non-technical skills in accounting is prolific there are few papers comparing the views of employers and students, and there are no previous studies focussing on overconfidence.

The learning skills used by students at a technical college to fully participate in their classes were the focus of this investigation. Researchers shadowed two full-time students for one full day as they each went to their classes in a technical college in Qatar. An observation schedule was used to record what students did in their classes (for example: solve problems, listen to the teacher, ask questions). At the end of the day students were interviewed and asked to comment on the importance of the learning skills that they used, how they built the skills they needed and how to become a better student. It was found that students used a variety of learning skills throughout a typical day and that they had their own ideas about learning. The learning skills the two students used most during their classes were not the same, owing partly to the format of the courses and partly to personal learning approach. The four learning skills students identified as most important were: understand and apply concepts to current work; concentrate and maintain focus; follow written instructions; and ask questions. The information gathered in this investigation can be used to inform students, instructors and course planners about the skills students need to be active participants in their classes and to ensure that educators support the development of required learning skills.

The authors provide a novel interpretation of the relationship between skill demand and labour market concentration based on the training rationale.

The authors use a novel data set on Italian online job vacancies during 2013–2018 to analyse the relationship between labour market concentration and employers' skill demand. The authors construct measures of market concentration and skill intensity in the local labour market. The authors regress the measures of skill demand on market concentration, controlling for sector, occupations and other features of the labour market. The authors also use the Hausman–Nevo instrument for market concentration.

The authors show that employers in a highly concentrated labour market demand competencies associated with the ability of workers to learn faster (e.g. social skills) rather than actual knowledge. They also require less experience but higher education. These results are consistent with the hypothesis that employers in more concentrated labour markets are more prone to train their employees. Instead of looking for workers who already have job-specific skills, they look for workers who can acquire them faster and efficiently. The authors provide a theoretical framework within which to analyse these aspects as well as providing a test for the relevant hypotheses.

In addition to cross-countries differences in labour market regulations, the authors' findings suggest that policy authorities should consider the local labour market structure when studying workforce development programmes aimed at bridging the skill gap of displaced workers. Moreover, the authors show that market concentration can have relevant implications for human resource (HR) managers by affecting their recruitment behaviour through the demand for skills. In fact, concentrated markets tend to favour firms' collusion and anti-competitive behaviour that could strongly affect HR management practices.

The authors' paper innovates on the literature in a number of ways. First, the authors provide evidence of local labour market concentration in Italy. Second, the authors provide evidence of skill demand at the local level using a detailed skill taxonomy that goes beyond the classical distinction between high and low skills. Third, and most importantly, the authors provide evidence of the relationship between skill demand and labour market concentration. By analysing detailed skills and competencies, the authors take one step beyond understanding the features of labour demand in monopsonistic markets.

Diagnosis of substance use disorders and addictive behaviours are growing worldwide. It is timely to examine and collate literature on the nature of occupational therapy intervention in this field, to increase understanding of current practice and inform future directions. The purpose of this paper is to source and synthesise literature on occupational therapy interventions used in the treatment of people experiencing addiction.

Four databases were searched in August 2019. A total of 597 titles were screened, and 18 studies with varying methods met inclusion criteria. A narrative synthesis of the included literature was arranged into themes to summarise key findings.

Findings were grouped into three themes about occupational therapy provision to people experiencing addiction: single occupation focused intervention; skills training (including sub-themes on daily living skills and vocational skills); and establishing a community-based sober routine.

Further research on this topic should focus on efficacy of treatments and build on current findings to develop more rigorous research with appropriate sample sizes to support evidence-based practice.

This study presents a synthesis of how occupational therapy interventions have been used to treat people experiencing addiction issues. Findings indicate occupational therapy appears to fit well within addiction treatment and assert that occupational therapy is most supportive when interventions go beyond the teaching of skills alone to prioritise occupational engagement and client centred practice.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.