Edouard claparede

Ohne Zusammenfassung     

From sixth form to university: motivation and transition among high achieving state‐school language students

This paper reports on a research project involving a sample of 19 state‐educated students in their first year of a German course at Oxford University. The project is one of a number of research studies into widening participation issues funded by the Higher Education Funding Council of England (HEFCE) and the Sutton trust. The paper describes the students' motivation for applying to study German at Oxford and their experiences of the transition from school to university. This is part of a larger scale study looking at access and transition data. The findings, based on data from semi‐structured interviews, suggest that the students had instrumentally oriented motivation for wanting to do a language course which was qualitatively different from the one experienced at A level. Although several factors might have alienated the students, most managed to adapt to the academic requirements at Oxford. It is argued that the students' ability to adapt and succeed is due to a high level of preparedness and to a flexibility of motivational orientation. The study contributes to the widening participation debate in general by commenting on issues of transition in terms of how well matched certain prestige university courses are to the aspirations of the applicants.     

Home advantage in judo: A study of the world ranking list

Abstract

In 2009, the International Judo Federation established a ranking system (RS) to classify athletes and to distribute the competitor quotas of the Olympic Games. However, the RS does not consider the home advantage. This issue has not been studied in judo, and its implications for the RS have not been determined. The objective was to verify the home advantage in judo in terms of winning a medal or the number of matches won. Therefore, 25 competitions that computed points for the RS in 2009 were analysed. Logistic regression analysis and the Poisson generalised linear model were used for the analyses, which included the relative quality of the athletes. The sample was composed only of athletes who had competed both at home and away. The odds ratio for winning medals was higher for athletes who competed at home for both males and females. The association between the number of matches won and competing at home was significant only for the male athletes. The home advantage was observed in the competitions that used the judo RS. Thus, it is likely that athletes from countries that host competitions using the RS have an advantage in terms of obtaining their Olympic classification.     

德国电子出版业当前总体趋势及未来的发展

在2006年举办的"首届数字时代出版产业发展与人才培养国际学术研讨会"上,我发表了关于当前德国电子出版业发展趋势的演讲,在这里我希望延续这个报告.我的演讲将概述以下三点:电子书的销售与发行研究;2007年德国电子出版业发展状况;2007、2008年度电子出版创新奖.     

Academic discipline and risk perception of technologies: An empirical study

This article brings together two areas of research: studies on risk perception of technologies and studies on vocational/career choice. This is an important link since decisions concerning technologies are influenced by decision makers’ risk perceptions and these in turn may be related to educational and career paths.We analyze students of different academic disciplines with regard to their risk perception of four technologies. The aim is to find out whether there is a relationship between area of study (as a precursor of vocational and career choice) and risk perception of technologies regarding health, environment and society. The four technologies under study are renewable energies, genetic engineering, nanotechnology and information and communication technologies (ICT). Key results are: irrespective of academic discipline risk of genetic engineering on average is rated highest and renewable energies lowest. This holds for all the risks studied (environmental, health, societal risks). On average, students from different academic disciplines differ in their risk perception. Factor analyses show that common dimensions of risk are the technologies and not the kind of risk. Regression analyses show that the variables influencing perceived risks vary between the technological fields.