Wat is 'hot' en wat is 'not' in de ict? Dat was 'in a nutshell' de reden voor het HBO-I om een studiereis te maken naar het Mekka voor ict'ers: Silicon Valley. Voor VS-verhoudingen een klein gebied met relatief veel belangrijke ict-bedrijven: SUN, Intel, Oracle, Hewlett-Packard. En twee van de beste universiteiten: Berkeley en Stanford. Deny Smeets en Miranda Valkenburg geven hun persoonlijke impressie van de hbo ict-tour.
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In elite sports, a case is increasingly made for the structural inclusion of what we label as planned disruptions. These are structured and deliberate training activities whereby athletes are exposed to increased and/or changing demands under controlled circumstances. Despite the growing body of evidence in support of planned disruptions (Sarkar & Fletcher, 2017), there is a lack of knowledge on which strategies coaches use in an applied context and why they use them. The present study, therefore, aimed at exploring the different types of planned disruptions high-performance coaches use and the desired outcomes of these disruptions. To this end, thematic analysis (Braun, Clarke, & Weate, 2016) was used to analyze semistructured interviews with 9 talent development and elite-level coaches (M age = 42.9, SD = 8.3; 6 male, 3 female). Results indicated that coaches use a combination of 9 types of planned disruptions (i.e., location, competition simulation, punishments and rewards, physical strain, stronger competition, distractions, unfairness, restrictions, and outside the box). These strategies were used to familiarize athletes to pressure, create awareness, develop or refine personal resources, and promote team processes. Three additional themes emerged, namely, the surprise use of planned disruptions, periodization, and the impact on personal relationships. The findings in the present study can guide further applied and theoretical explorations of the use of planned disruptions.
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Success at school determines future career opportunities. We described a time-of-day specific disparity in school performance between early and late chronotypes. Several studies showed that students with a late chronotype and short sleep duration obtain lower grades, suggesting that early school starting times handicap their performance. How chronotype, sleep duration, and time of day impact school performance is not clear. At a Dutch high school, we collected 40,890 grades obtained in a variety of school subjects over an entire school year. We found that the strength of the effect of chronotype on grades was similar to that of absenteeism, and that late chronotypes were more often absent. The difference in grades between the earliest 20% and the latest 20% of chronotypes corresponds to a drop from the 55th to 43rd percentile of grades. In academic subjects using mainly fluid cognition (scientific subjects), the correlation with grades and chronotype was significant while subjects relying on crystallised intelligence (humanistic/linguistic) showed no correlation with chronotype. Based on these and previous results, we can expand our earlier findings concerning exam times: students with a late chronotype are at a disadvantage in exams on scientific subjects, and when they are examined early in the day.
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