Mechanically braked Wingate powers: agreement between SRM,corrected and conventional methods of measurement

In this study, we assessed the agreement between the powers recorded during a 30?s upper-body Wingate test using three different methods. Fifty-six men completed a single test on a Monark 814E mechanically braked ergometer fitted with a Schoberer Rad Messtechnik (SRM) powermeter. A commercial software package (Wingate test kit version 2.21, Cranlea, UK) was used to calculate conventional and corrected (with accelerative forces) values of power based on a resistive load (5% body mass) and flywheel velocity. The SRM calculated powers based on torque (measured at the crank arm) and crank rate. Values for peak 1 and 5?s power and mean 30?s power were measured. No significant differences (P?>0.05) were found between the three methods for 30?s power values. However, the corrected values for peak 1 and 5?s power were 36 and 23% higher (P?<0.05) respectively than those for the conventional method, and 27 and 16% higher (P?<0.05) respectively than those for the SRM method. The conventional and SRM values for peak 1 and 5?s power were similar (P?>0.05). Power values recorded using each method were influenced by sample time (P?<0.05). Our results suggest that these three measures of power are similar when sampled over 30?s, but discrepancies occur when the sample time is reduced to either 1 or 5?s.     

Differences between the sexes and age-related changes in orienteering speed

The aim of this study was to assess the effects of the age and sex of the competitor on orienteering speed during competitive events. The results of the fastest three male and fastest three female competitors in each 5-year age band (21-79 years), from four national orienteering events, were analysed. The data for age and orienteering speed were log-transformed and regression analyses were conducted to determine the relationships between age and sex and orienteering speed. For comparison, data for the fastest Great Britain finisher in the 10,000-m track and 10-km cross-country events for age groups 40-69 years at the World Masters Championships were also analysed. The results showed that, before the age of 40 years, there was no substantial slowing in orienteering speed for males (0.5-4.2% per decade) but a moderate decline (4.7-10.0% per decade) for females. After the age of 45 years, the orienteering speed of males and females slowed by 13+/-2% and 16+/-4% per decade (mean +/- s), respectively, until around the age of 69, after which the deterioration was accentuated. The orienteering speed of the females was 81+/-4, 74+/-6 and 69+/-7% that of the males at ages 21, 45 and 65 years, respectively. The magnitudes of the age-related slowing of orienteering speed and of the difference in orienteering speed between males and females aged 45 years and over were greater than those reported for the other endurance running events. This may reflect the physical demands of running in orienteering terrain, tactical and cognitive aspects of the sport, or sociocultural aspects of the participating population.     

Correlates of simulated hill climb cycling performance

The aim of this study was to assess the relationship between several commonly used aerobic and anaerobic cycle ergometer tests and performance during a treadmill cycling hill climb. Eight competitive cyclists (age 27+/-7 years; body mass 73.2+/-5.2 kg; height 177+/-6 cm; mean +/- s) completed six tests in random order: a lactate minimum test; a Wingate anaerobic power test; and two 6-km climbs at 6% and two 1-km climbs at 12% gradient performed on a motorized treadmill. The mean times and power outputs for the 6-km and 1-km climbs were 16:30+/-1:08 min: s and 330+/-17.8 W, and 4:19+/-0:27 min: s and 411+/-24.4 W, respectively. The best individual predictor of 6-km and 1-km performance times was the time for the corresponding climb at the other distance (r = 0.97). The next strongest predictor of both hill climb performances was the average power produced during the Wingate test divided by body mass. Stepwise regression analysis showed that the two variables contributing most to the prediction equation for both climbs were the Wingate average power per unit of body mass and maximal aerobic power divided by total mass (rider + bike), which together accounted for 92 and 96% of the variability in the 6-km and 1-km climbs. In conclusion, among competitive cyclists, the Wingate average power per unit of body mass was the best single predictor of simulated cycling hill climb performance at the distance and gradient used.     

The standards for academics’ standards-based assessment practices

The use of standards-based assessment (SBA) has gained prominence in higher education due to a wide range of research evidence that supports its effectiveness in improving learning and teaching. Although the concept is widely used in academic discourse and practice, it has multiple interpretations which have led to diverse assessment practices to the extent that some of these depart from the principles of SBA. To help build a common understanding of what constitutes SBA practices, we explored the construct of academic SBA practices using both theoretical and empirical approaches. We developed a tool, based on the principles of SBA emerging from practices noted in the literature and identified from focus groups. We used factor analysis to extract the dimensions of the construct and to establish empirical evidence for the utilisation of the tool using a data set of 410 academics who engaged in self-assessment. Results showed that a six-factor model is the most parsimonious among other models. We used these dimensions to develop a framework for describing academic SBA practices. The use of the framework and tool has critical implications for curriculum design, professional practice and development, and policy articulation.     

Collective intelligence for advancing ocean literacy

Ocean literacy is an understanding of the ocean’s influence on us and our influence on the ocean. A lack of ocean literacy presents a significant obstacle for citizens to engage in environmentally sustainable behaviour, and thus is acknowledged as a ‘complex problem’ that requires deliberative participation and joint-action by stakeholders across domains. The aim of the article is both to demonstrate the value of Collective Intelligence (CI) as a methodological tool to advance and enhance the promotion of environmental literacy, and to share outcomes from using the CI approach. The participatory context behind CI illustrates that working ‘with’ a range of stakeholders across marine education, outreach, regulation and policy, to debate how to better promote ocean literacy among young people, improves ocean literacy and broadens society’s awareness of sustainable marine environments. Findings reveal a hierarchical barrier structure localised to each country, a valuable order of echelon toward environmental change.