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.
Objectives In order to recognise and facilitate the development of excellent medical doctors (physicians and residents), it is important to first identify the characteristics of excellence. Failure to recognising excellence causes loss of talent, loss of role models and it lowers work ethos. This causes less than excellent patient care and lack of commitment to improve the healthcare system. Design Systematic review performed according to the Association for Medical Education in Europe guideline. Information sources We searched Medline, Embase, Psycinfo, ERIC and CINAHL until 14 March 2022. Eligibility criteria We included original studies describing characteristics of excellent medical doctors, using a broad approach as to what is considered excellence. Assuming that excellence will be viewed differently depending on the interplay, and that different perspectives (peers, supervisors and patients) will add to a complete picture of the excellent medical doctor, we did not limit this review to a specific perspective. Data extraction and synthesis Data extraction and quality assessment were performed independently by two researchers. We used the Quality Assessment Tool for Different Designs for quality assessment. Results Eleven articles were eligible and described the characteristics from different perspectives: (1) physicians on physicians, (2) physicians on residents, (3) patients on physicians and (4) mixed group (diverse sample of participants on physicians). The included studies showed a wide range of characteristics, which could be grouped into competencies (communication, professionalism and knowledge), motivation (directed to learning and to patient care) and personality (flexibility, empathy). Conclusions In order to define excellence of medical doctors three clusters seem important: competence, motivation and personality. This is in line with Renzulli's model of gifted behaviour. Our work adds to this model by specifying the content of these clusters, and as such provides a basis for definition and recognition of medical excellence.
MULTIFILE
As the two prime examples of sport light, running and walking have become very popular sports activities in the past decades. There are references in the literature of similarities between both sports, however these parallels have never been studied. In addition, the current digitalisation of society can have important influences on the further diversification of profiles. Data of a large-scale population survey among runners and walkers (n = 4913) in Flanders (Belgium) were used to study their sociodemographic, sports related and attitudinal characteristics, and wearable usage. The results showed that walkers are more often female, older, lower educated, and less often use wearables. To predict wearable usage, sports-related and attitudinal characteristics are important among runners but not among walkers. Motivational variables to use wearables are important to predict wearable usage among both runners and walkers. Additionally, whether or not the runner or walker registers the heart rate is the most important predictor. The present study highlights similarities and differences between runners and walkers. By adding attitudinal characteristics and including walkers this article provides new insights to the literature, which can be used by policymakers and professionals in the field of sport, exercise and health, and technology developers to shape their services accordingly.
